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Journal articles on the topic 'OLAP technology'

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1

Sun, Lei, Hong Mei Xing, and Wei Wang. "Basic Technology of OLAP." Advanced Materials Research 1030-1032 (September 2014): 1892–95. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1892.

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s.The technology and principle involved in the on-line analytical processing is presented in theory, such as an overview of the on-line analytical technology, the operation of the on-line analytical technology, etc, which sets a technological foundation to build a system to realize online analysis.
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Bhardwaj, Vinayak, and Rincy Jacob. "Data Warehousing and OLAP Technology." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 1, no. 3 (2014): 05–11. http://dx.doi.org/10.53555/nncse.v1i3.521.

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Data warehousing and Online Analytical Processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. Data warehouse provides an effective way for the analysis and tatic to the mass data and helps to do the decision making. Many commercial products and services are now available and all of the principal database management system vendors now have offering in these areas. The paper introduces the data warehouse and online analysis process with an accent on their new requirements.
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Akushko, D. V. "OLAP TECHNOLOGY AS DECISION-MAKING SUPPORT TOOL." Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY), no. 2 (July 4, 2017): 51–53. http://dx.doi.org/10.21122/1683-6065-2017-2-51-53.

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The present article discloses the basic principles of work with OLAP technologies, shows key features in comparison with traditional systems of the reporting. The simplified structure of an OLAP cube for the analysis of cost of products of the steelsmelting shop is considered.
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Jaroli, Priyanka, and Palak Masson. "Data Warehousing and OLAP Technology (Data warehousing)." International Journal of Engineering Trends and Technology 51, no. 1 (2017): 45–50. http://dx.doi.org/10.14445/22315381/ijett-v51p208.

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Guo, Jun, De Qing Gan, Jing Tan, and Xu Long Yao. "Based on OLAP Realize Real-Time Integrated Analysis of the Underground Metal Mines Cost Information." Applied Mechanics and Materials 214 (November 2012): 809–13. http://dx.doi.org/10.4028/www.scientific.net/amm.214.809.

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Through OLAP technology study and solve the data issues during the real-time integrated of cost information process. Using OLAP technology does classified and sequenced analyses on mines production cost multi-dimensionally and multi-angle computationally. It is carried the deep study that the application of OLAP theory and technology in underground metal mines cost analysis field, and meanwhile the relative OLAP modeling is put forward.
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Le, Hien Thi Kim, Lien Bich Nguyen, and Phuc Do. "Applying OLAP technology to support decision making in sales process." Science and Technology Development Journal 19, no. 2 (2016): 41–57. http://dx.doi.org/10.32508/stdj.v19i2.727.

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OLAP (Online Analytical Processing) is a technology that enables the user to easily and selectively extract and view data from different points of view. It is also an important part of the decision system. This study proposes the decisions in fulfillment process which could be supported by the OLAP technology, including the quality of sales, the main product of the company, the salary and the bonus for sales staff, the credit limit and the price policy for the customer. Furthermore, this research also demonstrates the application of the OLAP technology in the decision making for the main produ
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Sharma, Pitambar, and Piyush Girdhar. "Online Analytical Processing (OLAP)." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 1, no. 3 (2014): 01–04. http://dx.doi.org/10.53555/nncse.v1i3.520.

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This paper is basically accustomed define On-Line Analytical method (OLAP), WHO uses it and why, and to review the key choices required for OLAP code. On-Line Analytical method (OLAP) could also be a category of code technology that allows analysts, managers and executives to appreciate insight into info through fast, consistent, interactive access to an honest reasonably gettable views of {data of information} that has been transformed from data to mirror spatiality of the enterprise as understood by the user. whereas OLAP systems have the ability to answer "who?" and "what?" queries, it's th
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Chaudhuri, Surajit, and Umeshwar Dayal. "An overview of data warehousing and OLAP technology." ACM SIGMOD Record 26, no. 1 (1997): 65–74. http://dx.doi.org/10.1145/248603.248616.

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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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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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Mansmann, Svetlana, and Marc H. Scholl. "Empowering the OLAP Technology to Support Complex Dimension Hierarchies." International Journal of Data Warehousing and Mining 3, no. 4 (2007): 31–50. http://dx.doi.org/10.4018/jdwm.2007100102.

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Tao, Jun, and Jiao Liang Yu. "Study on E-Government and its Decision Support System." Applied Mechanics and Materials 635-637 (September 2014): 1738–41. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1738.

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Based on the analysis of E-government decision support system's basic theory and mainstream solutions, combined with the popular OLAP technology, presents a white spoon OLAP based decision support system to improve e-government program, using data warehouse and model library together to support OLAP analysis, test cases and successfully used with the project, the results show that this scheme can achieve the desired requirements, with better performance and fast response performance multidimensional analysis, OLAP operations can be completed with reference promotional value.
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Prado, Alysson Bolognesi, Carmen Freitas, and Thiago Ricardo Sbrici. "Using OLAP Tools for e-HRM." International Journal of Technology and Human Interaction 6, no. 4 (2010): 49–62. http://dx.doi.org/10.4018/jthi.2010100104.

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In the growing challenge of managing people, Human Resources need effective artifacts to support decision making. On Line Analytical Processing is intended to make business information available for managers, and HR departments can now encompass this technology. This paper describes a project in which the authors built a Data Warehouse containing actual Human Resource data. This paper provides data models and shows their use through OLAP software and their presentation to end-users using a web portal. The authors also discuss the progress, and some obstacles of the project, from the IT staff’s
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Jin, Jennifer, and Masahiro Hayakawa. "Network analysis and GOLAP." Encyclopedia with Semantic Computing and Robotic Intelligence 02, no. 02 (2018): 1850016. http://dx.doi.org/10.1142/s2529737618500168.

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Online Analytical Processing (OLAP) is an effective approach to analyzing various complex business problems, and graph is considered as a common scheme to represent the business datasets. Network analysis is a broad analytics scheme for exploring the connectivity and deriving useful analytics results. However, network analysis for graph-based OLAP presents a set of more specific analytics methods by utilizing graph model, network property, and OLAP principles. In this paper, we present a comprehensive survey on network analysis conducted on graph model for the purpose of OLAP, and we summarize
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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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Wang, Chunfeng. "Optimization Research of the OLAP Query Technology Based on P2P." TELKOMNIKA (Telecommunication Computing Electronics and Control) 12, no. 4 (2014): 1039. http://dx.doi.org/10.12928/telkomnika.v12i4.436.

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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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Chen, Li Yong, and Xiu Ye Yin. "Application of Multi-Dimensional Analysis Technology in Telecom Industry." Advanced Materials Research 219-220 (March 2011): 643–47. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.643.

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With the rapid development of China's telecom industry, the management of domestic enterprises are constantly changing. Operate method was closed to internationalization constantly. In this process, the technology of OLAP plays a very vital role for the development of enterprises. China's telecom industry should depend on the technology of OLAP to get an efficient decision support system to make an accurate in time efficient decision if they want to survive in the world keen competition, and then leading enterprises moving in the right direction. This paper introduced Multi-dimensional analysi
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19

Alzeini, Haytham, Shihab A. Hameed, and Mohamed Hadi Habaebi. "Building Textual OLAP Cubes Using Real-Time Intelligent Heterogeneous Approach." International Journal of Intelligent Information Technologies 14, no. 3 (2018): 83–108. http://dx.doi.org/10.4018/ijiit.2018070105.

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This article describes how the ever-growing amount of data entails introducing innovative solutions in or-der to capture, process, and store the information. OLAP has been considered a powerful analytical technology that enables analysts to gain insight into data and project information from diversified points of view. Thereupon, OLAP has been utilized in a broad spectrum of sensitive applications in the industry. The technology has occupied its place at the forefront of the vibrant information technology landscape of research in order to meet the evolving needs. One of these needs that has en
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КАМАЛОВА, Г. А., А. А. ГУМАРОВА та М. Н. ТҮТКІШБАЕВА. "МНОГОМЕРНЫЕ ДАННЫЕ И ФОРМИРОВАНИЕ OLAP КУБОВ". Industrial transport of Kazakhstan, № 4(73) (15 грудня 2021): 147–54. http://dx.doi.org/10.58420/itk.2021.73.4.012.

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Бұл мақалада зерттеу аймағы ретінде көп өлшемді деректер базасының құрылымы, қалыптастыру кезеңдері және реляциялық деректерді OLAP жүйесі арқылы көп өлшемді мәліметтерге түрлендіру мәселелері қарастырылды. Мақсаты жаңа деректер текшелерін құру кезінде пайдаланушылардың жұмысын автоматтандыру үшін жоғары деңгейін қамтамасыз ету. Сонымен қатар талдаудың интелектуалды әдістері саласындағы теориялық базаны зерттеп және шешім қабылдауды қолдаудың ақпараттық технологияларымен байланысты бағдарламалар мен жобаларды іске асыруға тікелей қатысуға мүмкіндік беретін түрлі практикалық әдістер меңгерілді.
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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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Yin, Yucan. "Energy Efficiency Evaluation Method for Township Power Users Based on OLAP Technology." Journal of Physics: Conference Series 2530, no. 1 (2023): 012015. http://dx.doi.org/10.1088/1742-6596/2530/1/012015.

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Abstract With the development of the smart grid and energy Internet, the traditional demand side response is further expanded to the integrated energy management of users, which puts forward higher requirements for the energy management level of users. The energy consumption structure of users has changed greatly. How to measure the rationality of energy consumption, reduce the cost of energy consumption, save energy, and improve efficiency is very important for users. Aiming at the energy efficiency evaluation of township power users, this paper constructs an index system including users’ ene
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Guo, Min. "Financial System Analysis and Research of OLAP and Data Warehouse Technology." Information Technology Journal 13, no. 3 (2014): 522–28. http://dx.doi.org/10.3923/itj.2014.522.528.

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CAO, Li-juan. "Research of Web-OLAP system based on distributed data cache technology." Journal of Computer Applications 28, no. 2 (2008): 515–18. http://dx.doi.org/10.3724/sp.j.1087.2008.00515.

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Akhmedyanova, Gulnara F. "Application of OLAP-technology in decision support system for enterprise management." IOP Conference Series: Materials Science and Engineering 971 (December 1, 2020): 052010. http://dx.doi.org/10.1088/1757-899x/971/5/052010.

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Heginbothom, M. L. "On-line analytical processing (OLAP); a step forward in surveillance technology." Journal of Infection 55, no. 3 (2007): e80. http://dx.doi.org/10.1016/j.jinf.2007.04.116.

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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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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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Ahmed, Waqas, Esteban Zimányi, Alejandro Ariel Vaisman, and Robert Wrembel. "A Temporal Multidimensional Model and OLAP Operators." International Journal of Data Warehousing and Mining 16, no. 4 (2020): 112–43. http://dx.doi.org/10.4018/ijdwm.2020100107.

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Usually, data in data warehouses (DWs) are stored using the notion of the multidimensional (MD) model. Often, DWs change in content and structure due to several reasons, like, for instance, changes in a business scenario or technology. For accurate decision-making, a DW model must allow storing and analyzing time-varying data. This paper addresses the problem of keeping track of the history of the data in a DW. For this, first, a formalization of the traditional MD model is proposed and then extended as a generalized temporal MD model. The model comes equipped with a collection of typical onli
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Budianto, Galih. "Data Warehouse Modeling Using Online Analytical Processing Approach." Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) 1, no. 1 (2022): 7–13. http://dx.doi.org/10.58602/jima-ilkom.v1i1.2.

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Increasing business needs affect business competition in many companies that utilize information technology. The competition aims to gain advantages that utilize information technology in facilitating business processes. One of the conveniences offered is the use of information technology to support decision making in carrying out existing business processes in middle-to-upper scale companies that have large amounts of data. Online Analysis Processing (OLAP) is an approach method to present answers to the demand for a dimensional analysis process quickly, namely the design of applications and
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Raswa, Raswa. "PERANCANGAN PEMETAAN MODEL KOMPETENSI DI TEMPAT KERJA BERBASIS SISTEM OLAP." JTT (Jurnal Teknologi Terapan) 6, no. 2 (2020): 102. http://dx.doi.org/10.31884/jtt.v6i2.255.

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Graduate profile matches with needed competency by the workplace to be very important learning target sought in the vocational education. This research worshe a On Line Analyical Processing (OLAP) System Design, it can solve to competency model mapping problem, that is done and developed in workplace. This design aim to be helped in formulation of the outcome’s profile, and to be used as source’s information to curriculum development and learning outcome on vocational education. This research is designed as engeneering research with laboratory-explanatory on quasi-experiment by incremental mod
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Lukashevich, Pavel, Alexei Belotserkovsky, and Hrachya Astsatryan. "Modern Systems for Processing and Analyzing GEO-data Based on OLAP Technology." Computer Modeling and Intelligent Systems 2864 (2021): 216–25. http://dx.doi.org/10.32782/cmis/2864-19.

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KOSTISHYN, Sergii. "Ways and possibilities of creating medical information systems based on OLAP-technology." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 5 (2017): 112–15. http://dx.doi.org/10.15199/48.2017.05.22.

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Mathur, Nikhita. "An Overview of Data Warehouse and OLAP Technology Used in Banking System." International Journal of Computer Trends and Technology 33, no. 2 (2016): 76–79. http://dx.doi.org/10.14445/22312803/ijctt-v33p116.

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Schoech, Dick, John D. Fluke, Randy Basham, Donald J. Baumann, and Gary Cochran. "Visualizing Multilevel Agency Data Using OLAP Technology: An Illustration and Lessons Learned." Journal of Technology in Human Services 22, no. 4 (2004): 93–111. http://dx.doi.org/10.1300/j017v22n04_06.

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Nabibayova, G. Ch. "Ensuring Information Security of OLAP-Containing Distributed Electronic Systems using Blockchain Technology." Informacionnye Tehnologii 29, no. 5 (2023): 250–56. http://dx.doi.org/10.17587/it.29.250-256.

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The article outlines the properties of blockchain technology, according to which the content of blockchain blocks is immutable and the use of a peer-to-peer (P2P) network implies decentralized management. It describes the essence and meaning of smart-contracts and smart-views derived from them, which are involved in the process of data analysis and decision making. The article considers the papers devoted to various approaches to the problem of integration of blockchain technology and data storage. To ensure all three key aspects of information security — the integrity, availability and confid
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Abril Fradel, Diego Orlando, and José Nelson Pérez Castillo. "Current data warehousing and OLAP technologies’ status applied to spatial databases." Ingeniería e Investigación 27, no. 1 (2007): 58–67. http://dx.doi.org/10.15446/ing.investig.v27n1.14782.

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Organisations require their information on a timely, dynamic, friendly, centralised and easy-to-access basis for analysing it and taking correct decisions at the right time. Centralisation can be achieved with data warehouse technology. On-line analytical processing (OLAP) is used for analysis. Technologies using graphics and maps in data presentation can be exploited for an overall view of a company and helping to take better decisions. Geographic information systems (GIS) are useful for spatially locating information and representing it using maps. Data warehouses are generally implemented w
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Bensalloua, Charef Abdallah, and Djamila Hamdadou. "Spatial OLAP and Multicriteria Integrated Approach for Decision Support System." International Journal of Decision Support System Technology 10, no. 3 (2018): 1–26. http://dx.doi.org/10.4018/ijdsst.2018070101.

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This article describes how Spatial On-Line Analytical Processing, such a decisional technology, offers the possibilities of spatial and multidimensional analysis of data stored in multidimensional structure namely spatial data warehouse. However, this technology is limited in the quality aspect of the decision related to the multicriteria consideration. In the current article, the objective is to propose a Spatial Decision Support System namely “Silvicultura” for facilitating decision making in complex situations. This approach is based on integrating multicriteria analysis with SOLAP in order
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Wisnubhadra, Irya, Safiza Kamal Baharin, Nurul A. Emran, and Djoko Budiyanto Setyohadi. "QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web." Algorithms 14, no. 9 (2021): 265. http://dx.doi.org/10.3390/a14090265.

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The accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP). Mobility OLAP makes use of trajectory data warehousing techniques, which typically include a path of moving objects at a particular point in time. The Semantic Web (SW) users have published a large number of moving object datasets that include spatial and non-spatial data. These data are available as open data and require advanced analysis to aid in decision making. However, current SW technologies support advanced analysis only for mu
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Xu, Mao Li, and Xiu Ying Li. "Construction of the Library Management System Based on Data Warehouse and OLAP." Applied Mechanics and Materials 380-384 (August 2013): 4796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4796.

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Along with the evolvement of data warehouse technology, the establishment of the decision support system for libraries is becoming more and more important. This paper provides the architecture of the data warehouse-based library decision support system and focuses on discussing the model design and implementation technology of data warehouse building.
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Yakuba, E. S., V. S. Tynchenko, V. V. Bukhtoyarov, and V. V. Tynchenko. "THE SYSTEM FOR GOVERNMENT TENDERS DOCUMENTS ANALYSIS ON THE BASIS OF OLAP TECHNOLOGY." Scientific and Technical Volga region Bulletin 6, no. 3 (2016): 154–57. http://dx.doi.org/10.24153/2079-5920-2016-6-3-154-157.

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Nešić, Zoran, Miroslav Radojičić, Jasmina Vesić-Vasović, and Nebojša Denić. "Some considerations on the implementation of OLAP technology in small and middle companies." IMK-14 - Istrazivanje i razvoj 22, no. 4 (2016): 37–41. http://dx.doi.org/10.5937/imk1602037n.

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Rahadi, Putu Suta Adya Dharma, Putu Widiadnyana, and Nengah Sweden. "Designing Data Warehouse in Finance Company Study at PT ABC." International Journal of Engineering and Emerging Technology 2, no. 1 (2017): 58. http://dx.doi.org/10.24843/ijeet.2017.v02.i01.p12.

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Along with the development of technology and business needs that are more advanced, the more effective and efficient uses of Information Systems is an important thing for companies to continue competing in the era of globalization. Every company wants an appropriate Information System to run business activities smoothly. Using data warehouses can help PT ABC's problems in accommodating large amounts of data with its OLTP system which can then be processed in determining future strategies through OLAP systems. So as to get the reports needed in maintaining the consistency and improve the perfor
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Rybakova, Angelina. "Formation of data of the modular building infor-mation model in olap format." Construction and Architecture 11, no. 1 (2023): 21. http://dx.doi.org/10.29039/2308-0191-2022-11-1-21-21.

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The article provides an analysis of the use of OLAP technology in the design of modular objects based on information modeling technologies, presents the classification and systematization of information models of modular elements of maximum readiness. The purpose of this study is to develop and analyze a data model for the most effective data management of an information model of a capital construction object both at the design stage and at subsequent stages of the life cycle. In order to achieve this goal, it is necessary to take into account not only the features and attributes of informatio
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45

Kuang, Ye, and Chao Xie. "Research on an Economic Monitor and Decision Support System Based on Data Warehouse Technology." Applied Mechanics and Materials 416-417 (September 2013): 2016–19. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.2016.

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Data warehouse technology is a new international pioneering research method which is developed by the urgent demands to adequately apply IT resources including Data Warehouse (DW), Data Mining (DM) and OLAP. The architecture and realization methods of an economic monitor and decision support system (DSS) based on DW are presented in this article.
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46

DELGADO, MIGUEL, CARLOS MOLINA, LÁZARO RODRÍGUEZ-ARIZA, DANIEL SÁNCHEZ, and M. AMPARO VILA. "F-CUBE FACTORY: A FUZZY OLAP SYSTEM FOR SUPPORTING IMPRECISION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, supp01 (2007): 59–81. http://dx.doi.org/10.1142/s0218488507004467.

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The special needs of the OLAP technology were the main cause of the use of a multidimensional view of the data. Crisp models are not suitable to model complex or non well defined domains. They also fail to integrate data from semi/non-structured sources (e.g. Internet) or with incompatibilities in their schemata. In these situations, as a result of the modelling and/or integration, imprecision appears. So, we need a model able to manage imprecision in the structures and data. If we want to use expert's knowledge in the analysis, we have to keep in mind that expert users are more comfortable wh
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47

Davardoost, Farnaz, Amin Babazadeh Sangar, and Kambiz Majidzadeh. "An Innovative Model for Extracting OLAP Cubes from NOSQL Database Based on Scalable Naïve Bayes Classifier." Mathematical Problems in Engineering 2022 (April 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/2860735.

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Due to unstructured and large amounts of data, relational databases are no longer suitable for data management. As a result, new databases known as NOSQL have been introduced. The issue is that such a database is difficult to analyze. Online analytical processing (OLAP) is the foundational technology for data analysis in business intelligence. Because these technologies were designed primarily for relational database systems, performing OLAP in NOSQL is difficult. We present a model for extracting OLAP cubes from a document-oriented NOSQL database in this article. A scalable Naïve Bayes classi
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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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Adamko, Eva, Peter Tamas Szemes, and Mihoko Niitsuma. "INVESTIGATION ON THE HEATING SYSTEM OF THE MECHATRONICS RESEARCH CENTER BUILDING USING OLAP TECHNOLOGY." Environmental Engineering and Management Journal 13, no. 11 (2014): 2733–42. http://dx.doi.org/10.30638/eemj.2014.304.

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Purwanto, Joko, and Renny Renny. "Perancangan Data Warehouse Rumah Sakit Berbasis Online Analytical Processing (OLAP)." Jurnal Teknologi Informasi dan Ilmu Komputer 8, no. 5 (2021): 1077. http://dx.doi.org/10.25126/jtiik.2021854232.

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<p class="BodyCxSpFirst">Pemanfaatan teknologi informasi sangat penting bagi rumah sakit, karena berpengaruh pula terhadap kualitas pelayanan kesehatan yang secara manual diubah menjadi digital dengan menggunakan teknologi informasi.Dalam penelitian ini penulis menggunakan metodologi <em>Nine step</em> sebagai acuan dalam merancang suatu <em>data warehouse</em><em>,</em> untuk pemodelan menggunakan skema konstelasi fakta dengan 3 tabel fakta dan 11 tabel dimensi. Perbedaan penelitian ini dengan penelitian sebelumnya terletak pada sumber data yang dieks
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