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Artykuły w czasopismach na temat „Data Cube Technology”

Autor: Grafiati

Data publikacji: 27 lipca 2024

Data aktualizacji: 31 lipca 2025

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Huang, Xinyuan, Xiaoming Gao, Sida Ouyang, and Zhengbo Fu. "Image Data Stream Organization and Online Analysis Application Based on Data Cube Technology." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (May 10, 2024): 271–76. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-271-2024.

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Abstract. This study aims to explore the important role of data-like cube structures in modern remote sensing data processing and data analysis through ArcPy and Python multiprocessing techniques. A multi-scale spatial data cube is innovatively developed to improve the efficiency of remote sensing data management and optimize data analysis. The core of this study is to define and implement grid cells of different sizes that form the basis of data cube, and to quantify the efficient coverage of specific areas using Python multiprocessing techniques. Experiments were conducted in Hainan Province

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Picoli, M. C. A., R. Simoes, M. Chaves, et al. "CBERS DATA CUBE: A POWERFUL TECHNOLOGY FOR MAPPING AND MONITORING BRAZILIAN BIOMES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 533–39. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-533-2020.

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Abstract. Currently, the overwhelming amount of Earth Observation data demands new solutions regarding processing and storage. To reduce the amount of time spent in searching, downloading and pre-processing data, the remote Sensing community is coming to an agreement on the minimum amount of corrections satellite images must convey in order to reach the broadest range of applications. Satellite imagery meeting such criteria (which usually include atmospheric, radiometric and topographic corrections) are generically called Analysis Ready Data (ARD). Furthermore, ARD is being assembled into mult

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Chang, Chih-Kai, Gwo-Dong Chen, and Kou-Liang Ou. "Student Portfolio Analysis by Data Cube Technology for Decision Support of Web-Based Classroom Teacher." Journal of Educational Computing Research 19, no. 3 (1998): 307–28. http://dx.doi.org/10.2190/k6x6-9fmd-yeen-kn42.

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As learners increasingly use Web-based distance learning systems over years, large amounts of learning logs are generated. An instructor needs analysis tools to manage the logs and discover patterns within them to help improve instruction. A variety of analysis tools, including descriptive statistics, statistical inference, prediction, etc., can be utilized to analyze the effects of a teaching strategy from the logs. However, logs of a Web server, as learners' portfolios, cannot satisfy the requirements of these analysis tools. To resolve this problem, a data cube model is proposed as the infr

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Asma, Lamani, Erraha Brahim, Elkyal Malika, and Sair Abdallah. "Data mining techniques application for prediction in OLAP cube." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 2094–102. https://doi.org/10.11591/ijece.v9i3.pp2094-2102.

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Data warehouses represent collections of data organized to support a process of decision support, and provide an appropriate solution for managing large volumes of data. OLAP online analytics is a technology that complements data warehouses to make data usable and understandable by users, by providing tools for visualization, exploration, and navigation of data-cubes. On the other hand, data mining allows the extraction of knowledge from data with different methods of description, classification, explanation and prediction. As part of this work, we propose new ways to improve existing approach

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Lamani, Asma, Brahim Erraha, Malika Elkyal, and Abdallah Sair. "Data mining techniques application for prediction in OLAP cube." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 2094. http://dx.doi.org/10.11591/ijece.v9i3.pp2094-2102.

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Data warehouses represent collections of data organized to support a process of decision support, and provide an appropriate solution for managing large volumes of data. OLAP online analytics is a technology that complements data warehouses to make data usable and understandable by users, by providing tools for visualization, exploration, and navigation of data-cubes. On the other hand, data mining allows the extraction of knowledge from data with different methods of description, classification, explanation and prediction. As part of this work, we propose new ways to improve existing approach

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Nabibayova, Gulnara. "Expanding the intellectual capabilities of OLAP technology using neural networks." Problems of Information Society 15, no. 2 (2024): 43–48. http://dx.doi.org/10.25045/jpis.v15.i2.05.

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The article highlights the main characteristics, features and structure of Online Analytical Processing systems based on the same technology that perform online analytical processing of data. This technology allows analysts to explore and navigate a multidimensional indicator structure called an online analytical processing cube (data cube). Indicators (measures) of data cube play an important role in the decision-making process. To solve certain problems, these measures often need to be classified or grouped. Moreover, empty measures are common in data cube. This fact negatively affects strat

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Tardío, Roberto, Alejandro Maté, and Juan Trujillo. "A New Big Data Benchmark for OLAP Cube Design Using Data Pre-Aggregation Techniques." Applied Sciences 10, no. 23 (2020): 8674. http://dx.doi.org/10.3390/app10238674.

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In recent years, several new technologies have enabled OLAP processing over Big Data sources. Among these technologies, we highlight those that allow data pre-aggregation because of their demonstrated performance in data querying. This is the case of Apache Kylin, a Hadoop based technology that supports sub-second queries over fact tables with billions of rows combined with ultra high cardinality dimensions. However, taking advantage of data pre-aggregation techniques to designing analytic models for Big Data OLAP is not a trivial task. It requires very advanced knowledge of the underlying tec

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Kopp, Steve, Peter Becker, Abhijit Doshi, Dawn J. Wright, Kaixi Zhang, and Hong Xu. "Achieving the Full Vision of Earth Observation Data Cubes." Data 4, no. 3 (2019): 94. http://dx.doi.org/10.3390/data4030094.

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Earth observation imagery have traditionally been expensive, difficult to find and access, and required specialized skills and software to transform imagery into actionable information. This has limited adoption by the broader science community. Changes in cost of imagery and changes in computing technology over the last decade have enabled a new approach for how to organize, analyze, and share Earth observation imagery, broadly referred to as a data cube. The vision and promise of image data cubes is to lower these hurdles and expand the user community by making analysis ready data readily ac

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Errattahi, Rahhal, Mohammed Fakir, and Fatima Zahra Salmam. "Explanation in OLAP Data Cubes." Journal of Information Technology Research 7, no. 4 (2014): 63–78. http://dx.doi.org/10.4018/jitr.2014100105.

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OLAP is an important technology that offers a fast and interactive data navigation, it also provides tools to explore data cubes in order to extract interesting information from a multidimensional data structures. However, the OLAP exploration is done manually, without tools that could automatically extract relevant information from the cube. In addition OLAP is not capable of explaining relationships that could exist within data. This paper presents a new approach to coupling between data mining and online analytical processing. Its approach provides the explanation in OLAP data cubes by usin

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Jabbar, Ayad. "Design and Develop an Information system for Court Data in the Republic of Iraq by using SSRS Reports with SSAS Cubes." Iraqi Journal for Electrical and Electronic Engineering 11, no. 1 (2015): 105–9. http://dx.doi.org/10.37917/ijeee.11.1.11.

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Multidimensional Online analytical processing (MOLAP) technology is considered a good tool to produce meaningful and quality results by using a multidimensional cube. The term “multidimensional cube” is used to refer to the multiple layers of data that are used to show the result. This result is identified by high-level management to increase the Iraqi court work and to improve its quality. The Iraqi court needs an analytical report to make a strategic decision on case date, case type, case state, judge, criminal age, and criminal gender. Currently, MOLAP is known as the best and strongest tec

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Ding, Jun Shuai, Jin Guo You, and Shui Li Zhou. "Closed Cube Algorithm Research for Distributed Storage." Applied Mechanics and Materials 433-435 (October 2013): 1724–29. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1724.

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Data cube is to improve the efficiency of an important means in data query, while the enclosed data cube used by eliminating non-enclosed data cube tuples to reduce the disk space and improve the query response time. Based on the MapReduce parallel processing technology research, the MapReduce-based closed data cube generation algorithm is proposed,which can effectively improve the closed data cube massive data generation rate. The simulation results show that the proposed MCDC algorithm in practical applications can offer conditional definition by users to build closed data cube that is neede

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Cao, Qianqian, Guoqing Li, Xiaochuang Yao, and Yue Ma. "China Data Cube (CDC) for Big Earth Observation Data: Practices and Lessons Learned." Information 13, no. 9 (2022): 407. http://dx.doi.org/10.3390/info13090407.

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In the face of tight natural resources and complex as well as volatile environments, and in order to meet the pressure brought by population growth, we need to overcome a series of challenges. As a new data management paradigm, the Earth Observation Data Cube simplifies the way that users manage and use earth observation data, and provides an analysis-ready form to access big spatiotemporal data, so as to realize the greater potential of earth observation data. Based on the Open Data Cube (ODC) framework, combined with analysis-ready data (ARD) generation technology, the design and implementat

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Cristescu, Marian Pompiliu. "Using OLAP Data Cubes in Business Intelligence." Scientific Bulletin 21, no. 2 (2016): 80–86. http://dx.doi.org/10.1515/bsaft-2016-0039.

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Abstract The purpose of this paper is to demonstrate that it is possible to develop business intelligence projects in big and medium-size organizations, only with Microsoft products, used in accordance with standard OLAP cube technology, and presented possible alternatives, in relation with the requested functions.

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Hamdani, Younes, Guohui Xiao, Linfang Ding, and Diego Calvanese. "An Ontology-Based Framework for Geospatial Integration and Querying of Raster Data Cube Using Virtual Knowledge Graphs." ISPRS International Journal of Geo-Information 12, no. 9 (2023): 375. http://dx.doi.org/10.3390/ijgi12090375.

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The integration of the raster data cube alongside another form of geospatial data (e.g., vector data) raises considerable challenges when it comes to managing and representing it using knowledge graphs. Such integration can play an invaluable role in handling the heterogeneity of geospatial data and linking the raster data cube to semantic technology standards. Many recent approaches have been attempted to address this issue, but they often lack robust formal elaboration or solely concentrate on integrating raster data cubes without considering the inclusion of semantic spatial entities along

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Ding, Heng, Qian Yuan Zhang, Yan Ping Wang, and Yan Jiang. "Data Warehousing and Data Mining Technology Implementation in Jpeen_CRM System Design." Applied Mechanics and Materials 610 (August 2014): 769–74. http://dx.doi.org/10.4028/www.scientific.net/amm.610.769.

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In this paper, on the basis of in-depth study of data warehouse, OLAP, data mining and other key technologies, according to the characteristics of the Jpeen customer relationship management (Jpeen_CRM), developed a Web-based customer relationship management system. First of all, research the demand for Jpeen company and create Jpeen_CRM data warehouse. Second, create the OLAP multidimensional cube which is applied to the analysis of customer transactions. Using the decision tree algorithm to create mining models for customers to choose glasses, and gives pruning optimize decision tree. Using d

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Raharjo, Sigit, Astrino Purmanna, Kus Andini Purbaningrum, Riche Ramayanti, and Dea Mei Cahya Muhti. "Pengembangan Media Pembelajaran Berbasis Software Geogebra pada Kubus untuk Mengembangkan Kemampuan Spasial Siswa." MAJAMATH: Jurnal Matematika dan Pendidikan Matematika 6, no. 1 (2023): 57–68. http://dx.doi.org/10.36815/majamath.v6i1.2560.

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The development of science and technology affects the emergence of interactive learning media. Interactive learning media is expected to be able to foster students’ learning motivation and spatial abilities. This study aimed to develop learning media based on geogebra software on cubes to deveop students’ spatial ability. This study applies the ADDIE model (analysis, design, development implementation, evaluation) as a research and development model for creating interactive learning media using geogebra on cube theory. Tha sample in this study amounted to 20 students where these students had n

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Renusree, Varma Mudduluri, Golla Akhila, Raghava Sushanth, and Jyothi Sai Tammana. "Advanced Image Encryption & Decryption using Rubik's Cube Technology." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 3 (2022): 24–27. https://doi.org/10.35940/ijeat.C3331.0211322.

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The world changing at a fast pace and more than ever there’s this need to secure data and preserve one’s privacy. Advanced algorithms and technologies that can be used for secure transmission of texts, images and videos are being tried and tested. We have used the Rubik’s Cube Technology for secure encryption and decryption of colored images.

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Hazboun, Fadi H., Majdi Owda, and Amani Yousef Owda. "A Natural Language Interface to Relational Databases Using an Online Analytic Processing Hypercube." AI 2, no. 4 (2021): 720–37. http://dx.doi.org/10.3390/ai2040043.

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Structured Query Language (SQL) is commonly used in Relational Database Management Systems (RDBMS) and is currently one of the most popular data definition and manipulation languages. Its core functionality is implemented, with only some minor variations, throughout all RDBMS products. It is an effective tool in the process of managing and querying data in relational databases. This paper describes a method to effectively automate the conversion of a data query from a Natural Language Query (NLQ) to Structured Query Language (SQL) with Online Analytical Processing (OLAP) cube data warehouse ob

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Jantti, Margie, and Brian Cox. "Measuring the Value of Library Resources and Student Academic Performance through Relational Datasets." Evidence Based Library and Information Practice 8, no. 2 (2013): 163. http://dx.doi.org/10.18438/b8q89f.

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Objective – This article describes a project undertaken by the University of Wollongong Library (UWL) to identify whether a correlation exists between usage of library resources and academic performance.  Methods – A multidimensional approach to systems design was implemented, requiring collaboration between among the library, university administration, Performance Indicator Project team (PIP), and information technology services. The project centers on the integration and interrogation of a series of discrete datasets containing student performance, attrition, demographic, borrowi

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Lu, Y. L., C. W. Liu, J. W. Li, and J. W. Jiang. "CONSTRUCTION METHOD OF “CELL-CUBE” SPATIO-TEMPORAL DATA MODEL FOR BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 25–30. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-25-2020.

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Abstract. In recent years, with high accuracy, high frequency, considerable coverage of remote sensing images, map tiles, video surveillance, web crawlers, social networking platforms and other types of spatiotemporal data have exploded in geometric progression. Human society has come into the era of big data in time and space. In view of the characteristics of multi-attribute, multi-dimensional, multisource and heterogeneous spatiotemporal big data, how to make use of the emerging information technology means, combined with the geographic information data analysis means, the rapid mining and

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Vik, Shelly, Judy Seidel, Christopher Smith, and Deborah A. Marshall. "Breaking the 80:20 rule in health research using large administrative data sets." Health Informatics Journal 29, no. 2 (2023): 146045822311805. http://dx.doi.org/10.1177/14604582231180581.

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Objective: To explore the application of online analytic processing (OLAP) to improve the efficiency of analytics using large administrative health data sets. Methods: 18 years of administrative health data (1994/95 to 2012/13) were obtained from the Alberta Ministry of Health in Canada. The data sets included hospitalization, ambulatory care and practitioner claims data. Reference files were obtained that provided information including patient demographics, resident postal code, facility, and provider details. Population counts and projections for each year, sex, age were included for rate ca

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Song, Qiang Wei, Qing Hua Qiao, and Qing Yuan Li. "Rapid Visualization of Global Ship Tracks Data Based on 3D GIS." Applied Mechanics and Materials 229-231 (November 2012): 1759–62. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1759.

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On the basis of the analysis of spatial distribution characteristics of massive ship tracks data, the model of spatiotemporal cube was established and the “3DR-Tree” algorithm was proposed to study the efficient index building technology. The spatiotemporal query of massive ship tracks data was realized and the ship historical trajectories were also displayed in the global environment intuitively and dynamically, it can be used for maritime search and rescue effectively.

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Jane, Chetan, and Vinay S. Navale. "An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 2249–56. http://dx.doi.org/10.22214/ijraset.2023.55108.

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Abstract: The recent proliferation of high-resolution Earth observation data, along with the advent of open-data initiatives, has led to the availability of petabyte-scale Earth observation datasets accessible for free. However, this abundance of big data presents significant challenges for regional to global spatio-temporal analysis. The traditional approach of "downloadpreprocess-store-analyze" introduces excessive data downloading overhead and computational barriers, hindering efficient analysis. The Earth observation data cube (EODC) paradigm offers a solution by revolutionizing the storag

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Yao, Yuanyuan, and Zhaochen Wang. "Interactive Display System Integrating Information Technology in Environmental Art Design." Scalable Computing: Practice and Experience 26, no. 5 (2025): 2070–77. https://doi.org/10.12694/scpe.v26i5.4911.

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In order to solve the problems of dimensionality reduction and color display of spectral data after redundancy reduction in interactive display in environmental art design, the author proposes a research on an interactive display system that integrates information technology in environmental art design. The author first performs principal component transformation on the spectral data cube, assigning the first three components to the black and white channels, red and green channels, and yellow and blue channels in the color space. Then, after spatial transformation to sRGB space, the data is se

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Raditya Vivaldy, Muhammad. "Perancangan Dashboard IT Helpdesk pada PT. XYZ." COMSERVA Indonesian Jurnal of Community Services and Development 2, no. 11 (2023): 2557–67. http://dx.doi.org/10.59141/comserva.v2i11.660.

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The helpdesk dashboard functions to monitor: the number of tickets available, the average handling time for each ticket, module, system, or application that gets the most tickets, the department that submits tickets the most, which is adjusted to the needs of the helpdesk of PT. XYZ. Ticket is a trouble ticket or problem report that is used in an organization to detect, report, and provide solutions to various types of problems. In this thesis, the authors create a data mart using Kimball's nine-step methodology. Before designing the IT helpdesk dashboard, PT. XYZ. will be processed first usin

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Safitri, Raudhatun, Puguh Wahyu Prasetyo, Dian Eka Wijayanti, Samsul Arifin, Fariz Setyawan, and Joe Repka. "Text security by using a combination of the vigenere cipher and the rubik's cube method of size 4×4×4." Al-Jabar : Jurnal Pendidikan Matematika 14, no. 2 (2023): 281. http://dx.doi.org/10.24042/ajpm.v14i2.14276.

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Background: In the current era of technology, information security is increasingly important. The growth of technology leads to a higher level of threat to the security of data and information dissemination, and cryptography is a valuable protective tool.Aim: The primary objective of this research is to enhance text security through the fusion of the Vigenere cipher and the Rubik's cube algorithm. By leveraging this novel approach, we aim to fortify the confidentiality of textual data against potential eavesdroppers and adversaries. To demonstrate the practicality of this method, we perform a

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Soler, L. S., D. E. Silva, C. Messias, et al. "PROMISING ADVANCES OF AMAZONIAN MONITORING SYSTEMS THROUGHOUT VANGUARD TECHNOLOGY AND SCIENTIFIC KNOWLEDGE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 29, 2021): 843–49. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-843-2021.

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Abstract. PRODES and DETER project together turned 33 years-old with an undeniably contribution to the state-of-art in mapping and monitoring tropical deforestation in Brazil. Monitoring systems all over the world have taken advantage of big data repositories of remote sensing data as they are becoming freely available together with artificial intelligence. Thus, considering the advent of new generation remote sensing data hubs, online platforms of big data that can fill in spatial and temporal resolutions gaps in current deforestation mapping, this work aims to present recent innovations at I

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D N, Ashwini, and Soumya Dass B. "Role of Data Mining Technique: A Boon to Society." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 657–60. http://dx.doi.org/10.22214/ijraset.2022.43782.

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Abstract: Datamining is a method of finding interested patterns from huge volume of data. Datamining techniques helps to make business decisions. It analyses information from multiple sources like DataMart, databases. In this paper, we are focussing on datamining tasks and its variety of applications in different fields, which is boon to the society. Keywords: KDD, Decision Tree, OLAP servers, Cube API, ODBC, Frequent patterns

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Wardle, Julee, and Zachary Phillips. "Examining Spatiotemporal Photosynthetic Vegetation Trends in Djibouti Using Fractional Cover Metrics in the Digital Earth Africa Open Data Cube." Remote Sensing 16, no. 7 (2024): 1241. http://dx.doi.org/10.3390/rs16071241.

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The Horn of Africa has sensitive, arid ecosystems, with its vegetation commonly distressed by factors such as climate change, population increase, unstable water resources, and rarely enforced land use management practices. These factors make countries such as Djibouti highly variable locations for the growth of vegetation and agricultural products, and these countries are becoming more vulnerable to food insecurity as the climate warms. The rapid growth of satellite and digital image processing technology over the last five decades has improved our ability to track long-term agricultural and

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Rizki, Reza, and Handoyo Handoyo. "Estimation Microporosity Value of Fontanebleau Sandstone Using Digital Rock Physics Approach." Journal of Geoscience, Engineering, Environment, and Technology 3, no. 2 (2018): 103. http://dx.doi.org/10.24273/jgeet.2018.3.2.1544.

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The technology of digital rock physics (DRP) allowed to predict the physical properties in core data sample, for example to predict value of porosity of data sample. This research applied the digital rock physics technique to predict the microporosity in sandstone sample: Fontanebleau Sandstone. The data are digital images from Fontanebleau Sandstone with high resolution scanned from micro tomography CT-Scan processing. The result of image processing shown in 2D and 3D image. From the data, the value of microporosity Fontanebleau Sandstone are beetwen 6% - 7%. This result confirmed by the quar

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Nabibayeva, G. Ch. "Application of neural networks in OLAP-systems." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2024): 367–74. https://doi.org/10.15407/pp2024.02-03.367.

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The article highlights the main characteristics of OLAP systems that perform online analytical data processing. These systems, based on OLAP technology, are widely used both in government agencies and in private ones. The main characteristics, features and structure of OLAP systems are mentioned. The article emphasizes that OLAP is a data warehousing tool. OLAP allows analysts to explore and navigate a multidimensional structure of indicators called a data cube or OLAP cube. Indicators (measures) of OLAP cubes play an important role in the decision-making process. To solve some problems, these

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Aghayeva, Maleyka Agha Ali. "Joint analysis of seismic and well log data applied for prediction of oil presence in Maykop deposits in Naftalan area." AIMS Geosciences 7, no. 3 (2021): 331–37. http://dx.doi.org/10.3934/geosci.2021020.

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<abstract> <p>The paper is devoted to joint application of 3D seismic survey and well logging techniques to study oil and gas presence in Maykop deposits in Naftalan oil field. The field is located in Naftalan-Northern Naftalan area of Ganja oil and gas province, Azerbaijan. The paper brings data about Naftalan field, the ancient brachianticline type of field in Azerbaijan. The paper also considers the history of study of the field by use of geological and geophysical techniques. Despite the studies cover the area since 1873, the oil and gas presence in Maykop has not been studied

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Yang, Peng, and Zhe Jun Zeng. "The Application of Data Warehouse in Enterprise Resource Planning." Advanced Materials Research 179-180 (January 2011): 973–77. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.973.

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Through building a data warehouse which is used to support manufacturing inventory analysis, according to the analysis theme, this paper extracted, purified and integrated the historical data which is accumulated by the enterprise in a long term and distributed in the various heterogeneous systems, and store them in the data warehouse fact table; through the establishment of the data cube, it generate the aggregated data with different particle size, as well as provide on-line analytical processing technology (OLAP), to provide users data query analysis with multi-angle, multi-granularity, vis

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Ashwini, D. Ilpachi, P. Rajgire Varsha, S. Jumale Rahul, D. Vyas Shivam, and Dhumal V.M. "Implementation of 8×8×8 LED Cube Based on IOT." Research and Applications: Emerging Technologies 2, no. 1 (2020): 1–4. https://doi.org/10.5281/zenodo.3712876.

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<em>In this modern technology, the field of electronics is fulfilled with new research and development has made this field a revolution. Now a day, every human is surrounded by electronics devices like laptops, mobile, television, games etc. As these devices are displaying 2-dimensional view so here we are shifted to show data into 3-dimensional format by using net structure of LEDs. Our project is consisting of building an 8×8×8 LED Cube that will be able to display various graphics and animation. Since 8×8×8 LED Cube is built up with 8 LEDs layers with each layer

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Huang, Ting, Wei Huang, Kun Song, and Ming Jie Gao. "Design and Implementation of Wind Farm Visualization Intelligent Data Analysis System." Advanced Materials Research 816-817 (September 2013): 497–501. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.497.

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Building visualization intelligent data analysis system of wind farms is important for operating personnel to master the running status of wind farm in real time and research the grid operation strategy of wind farm. In this paper, the designed system collects wind farm operation data from the production management system, SCADA and so on. Based on multi-threading data acquisition, dynamic data storage, cube views, analysis technology and component/architecture design concept, design and implement the visualization intelligent data analysis system which meets requirements of wind farms. This s

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Wang, Dandi, Shuai Xing, Yan He, Jiayong Yu, Qing Xu, and Pengcheng Li. "Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection." Sensors 22, no. 4 (2022): 1379. http://dx.doi.org/10.3390/s22041379.

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Airborne LiDAR bathymetry (ALB) has proven to be an effective technology for shallow water mapping. To collect data with a high point density, a lightweight dual-wavelength LiDAR system mounted on unmanned aerial vehicles (UAVs) was developed. This study presents and evaluates the system using the field data acquired from a flight test in Dazhou Island, China. In the precision and accuracy assessment, the local fitted planes extracted from the water surface points and the multibeam echosounder data are used as a reference for water surface and bottom measurements, respectively. For the bathyme

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Potratz, C. J., R. K. Steinhorst, and C. L. Hanson. "Estimating the Parameters of a Cube Root Normal Distribution from Reduced Sample Data." Water Resources Research 21, no. 1 (1985): 89–90. http://dx.doi.org/10.1029/wr021i001p00089.

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Lee, T. Y., and C. H. Lin. "Growing-cube isosurface extraction algorithm for medical volume data." Computerized Medical Imaging and Graphics 25, no. 5 (2001): 405–15. http://dx.doi.org/10.1016/s0895-6111(00)00084-7.

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Dhu, Trevor, Gregory Giuliani, Jimena Juárez, et al. "National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices." Data 4, no. 4 (2019): 144. http://dx.doi.org/10.3390/data4040144.

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The emerging global trend of satellite operators producing analysis-ready data combined with open source tools for managing and exploiting these data are leading to more and more countries using Earth observation data to drive progress against key national and international development agendas. This paper provides examples from Australia, Mexico, Switzerland, and Tanzania on how the Open Data Cube technology has been combined with analysis-ready data to provide new insights and support better policy making across issues as diverse as water resource management through to urbanization and enviro

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Novreza, Vicky, Yuda Munarko, and Lailatul Husniah. "Data Warehouse Menggunakan Snowflake Schema Pada Virtual Shop." Jurnal Repositor 2, no. 1 (2020): 67. http://dx.doi.org/10.22219/repositor.v2i1.180.

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AbstrakVirtual shop adalah penerapan teknologi virtual realiy pada toko online guna meningkatkan interaksi pembeli. Penerarapan virtual reality pada online shop menimbulkan pertanyaan untuk penyimpanan data serta pengolahan data sebagai analisa kebutuhan. Data pada toko online sebatas pada data transaksional dan tidak dilakukan pengolahan yang lebih untuk dilakukan analisa. Solusi dari permasalahan tersebut dengan melakukan perancangan data warehouse untuk menyiapkan tempat penyimpanan data agar analisa dapat dilakukan guna pengembangan teknologi virtual shop. Sistem pada data warehouse dapat

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Khalil, Abdelhak, and Mustapha Belaissaoui. "NoSQL-based approach in data warehousing and OLAP cube computation." International Journal of Information and Decision Sciences 15, no. 4 (2023): 408–30. http://dx.doi.org/10.1504/ijids.2023.134794.

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Belaissaoui, Mustapha, and Abdelhak Khalil. "NoSQL-based approach in data warehousing and OLAP cube computation." International Journal of Information and Decision Sciences 15, no. 4 (2023): 408–30. http://dx.doi.org/10.1504/ijids.2023.10060225.

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Nabibayova, G. Ch. "Application of OLAP Technology in the Environment of Electronic Demography." Informacionnye Tehnologii 27, no. 10 (2021): 542–49. http://dx.doi.org/10.17587/it.27.542-549.

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The article proposes an approach to the development of an electronic demographic decision support system using technologies of Data Warehouse (DW) and Interactive Analytical Processing OLAP. This makes it possible to conduct high-level demographic research and provide support to decision-makers in demographic sphere. The article notes that demography is an interdisciplinary field of research and is defined as a complex science. Each industry of demography has many indicators. A sample list of these indicators is presented. The main characteristics of the DW, which should be taken into account

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Hardage, B. A., V. M. Pendleton, J. L. Simmons, B. A. Stubbs, and B. J. Uszynski. "3-D instantaneous frequency used as a coherency/continuity parameter to interpret reservoir compartment boundaries across an area of complex turbidite deposition." GEOPHYSICS 63, no. 5 (1998): 1520–31. http://dx.doi.org/10.1190/1.1444448.

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In previous unpublished work, we found that anomalous values of instantaneous frequency (that is, frequency values that are negative or that have positive magnitudes greater than Nyquist limit) are valuable indicators of alterations in reflection waveshape that occur commonly at stratigraphic terminations. Inspection of 3-D seismic data across Nash Draw Field on the northwest slope of the Delaware Basin showed that appreciable wavelet alterations occurred at the boundaries of distinct seismic facies within the targeted Brushy Canyon reservoirs that are being produced in this field. Based on th

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Akimkina, E. E. "Recommendations for deploying multidimensio." Informacionno-technologicheskij vestnik 11, no. 1 (2017): 68–80. http://dx.doi.org/10.21499/2409-1650-2017-1-68-80.

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A comparative analysis of different approaches to analytical data and shows that the most ample opportunities has a multi-dimensional approach, implemented with the help of OLAP technology. Presented multidimensional OLAP-cube model with the measurements for the analysis and processing of process data. Practical recommendations for the deployment of a multidimensional data modeling systems with regard to their integration into existing enterprise management system.

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Cao, Qianqian, Guoqing Li, Xiaochuang Yao, et al. "GF-1 Satellite Imagery Data Service and Application Based on Open Data Cube." Applied Sciences 12, no. 15 (2022): 7816. http://dx.doi.org/10.3390/app12157816.

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With the application of big data in Earth observation, satellite imagery data are gradually becoming important means of observation for monitoring changes in vegetation, water bodies, and urbanization. Therefore, new satellite imagery data organization and management paradigms are urgently needed to fully mine the useful information from these data and provide new ways to better quantify and serve the sustainable development of resources and the environment. In this paper, a framework for processing and analyzing Chinese GF-1 satellite imagery data was developed using the latest technologies s

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Wang, Chang, Xinyu Liu, Yang Zhang, Yan Sun, Zeqing Yu, and Zhenrong Zheng. "Dual-Channel Switchable Metasurface Filters for Compact Spectral Imaging with Deep Compressive Reconstruction." Nanomaterials 13, no. 21 (2023): 2854. http://dx.doi.org/10.3390/nano13212854.

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Spectral imaging technology, which aims to capture images across multiple spectral channels and create a spectral data cube, has been widely utilized in various fields. However, conventional spectral imaging systems face challenges, such as slow acquisition speed and large size. The rapid development of optical metasurfaces, capable of manipulating light fields versatilely and miniaturizing optical components into ultrathin planar devices, offers a promising solution for compact hyperspectral imaging (HSI). This study proposes a compact snapshot compressive spectral imaging (SCSI) system by le

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Yu, Lu, Hongbo Li, Jing Li, and Wei Li. "Lossless Compression of Large Aperture Static Imaging Spectrometer Data." Applied Sciences 13, no. 9 (2023): 5632. http://dx.doi.org/10.3390/app13095632.

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The large-aperture static imaging spectrometer (LASIS) is an interference spectrometer with high device stability, high throughput, a wide spectral range, and a high spectral resolution. One frame image of the original data cube acquired by the LASIS shows the image superimposed with interference fringes, which is distinctly different from traditional hyperspectral images. For compression studies using this new type of data, a lossless compression scheme that combines a novel data rearrange method and the lossless multispectral and hyperspectral image compression standard CCSDS-123 is presente

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Kang, Xiaojun, Cheng Yang, Xuguang Zhao, Weiwei Chen, Sifa Zhang, and Yaping Wang. "A Short Sequence Splicing Method for Genome Assembly Using a Three-Dimensional Mixing-Pool of BAC Clones and High-throughput Technology." Open Biotechnology Journal 9, no. 1 (2015): 210–15. http://dx.doi.org/10.2174/1874070701509010210.

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Current genome sequencing techniques are expensive, and it is still a major challenge to obtain an individual whole-genome sequence. To reduce the cost of sequencing, this paper introduced a high-throughput sequencing strategy using a three-dimensional mixing-pools based on the cube. Following the strategy, BAC clones were injected into each vertex of the cube, and sequencing of each plane provided information about multiple clones, thereby significantly reducing the cost of sequencing. In addition, Velvet was used to assemble the sequencing data. The scaffold generated from Velvet contained a

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Navale, Vinay S., Chetan Jane, Anvita B, Kalyan B, and Satvik A. "Link Prediction on N-ary Relational Data Based on Relatedness Evaluation." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (2023): 1597–609. http://dx.doi.org/10.22214/ijraset.2023.55413.

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Abstract: The recent proliferation of high-resolution Earth observation data, along with the advent of open-data initiatives, has led to the availability of petabyte-scale Earth observation datasets accessible for free. However, this abundance of big data presents significant challenges for regional to global spatio-temporal analysis. The traditional approach of "downloadpreprocess-store-analyze" introduces excessive data downloading overhead and computational barriers, hindering efficient analysis. The Earth observation data cube (EODC) paradigm offers a solution by revolutionizing the storag

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