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Relevant bibliographies by topics / Online Analytical Processing (OLAP)

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Academic literature on the topic 'Online Analytical Processing (OLAP)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Online Analytical Processing (OLAP)"

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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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Wijaya, Andri, Mutia Maharani, and Meilinda. "IMPLEMENTASI PENDEKATAN AGILE UNTUK PENGEMBANGAN OLAP DATA PENJUALAN." ZONAsi: Jurnal Sistem Informasi 6, no. 1 (2024): 222–31. http://dx.doi.org/10.31849/zn.v6i1.17337.

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Sales data in large quantities are difficult to process and report using Microsoft Excel, which takes a long time. The proposed solution is to use Online Analytical Processing, a method that allows for faster decision-making through multidimensional data manipulation. In developing Online Analytical Processing for sales data, an agile approach is applied. With Online Analytical Processing, access to and display of transactional data becomes more efficient, improving analysis quality and supporting management decisions. Research results show that the prototype accelerates sales reports with a r

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Aldisa, Rima Tamara. "Penerapan Online Analytical Processing (OLAP) dalam Pengelolaan Data Karyawan." JURIKOM (Jurnal Riset Komputer) 9, no. 1 (2022): 55. http://dx.doi.org/10.30865/jurikom.v9i1.3832.

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At this time many companies manage employee data manually from the process of recording employee data, employee absences which can result in data errors. Because of several things, it is necessary to have a system that can record every incoming data as well as a method that can control it so as not to experience excess or deficiency. The method used is the Online Analytical Processing (OLAP) method. The Online Analytical Processing (OLAP) method is an approach method to provide answers to requests for dimensional analysis processes quickly, the result to be achieved is to be able to design app

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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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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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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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Chou, Chung-Hsien, Masahiro Hayakawa, Atsushi Kitazawa, and Phillip Sheu. "GOLAP: Graph-Based Online Analytical Processing." International Journal of Semantic Computing 12, no. 04 (2018): 595–608. http://dx.doi.org/10.1142/s1793351x18500071.

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Graph-based Online Analytical Processing (GOLAP) extends Online Analytical Processing (OLAP) to address graph-based problems that involve object attributes. Based on graph data, GOLAP can answer user queries related to combinatorial optimization, structural analytics, and influence analytics. Besides, since a GOLAP system is an online interactive system that requires fast response time, the execution time for graph-problem queries is essentially critical. Thus, how to speed up the execution time of specific graph problems becomes a challenge in GOLAP. In this paper, we show several methods to

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Saputra, Eko. "Permodelan Data Warehouse Untuk Penjualan Ban Menggunakan Online Analytical Processing (OLAP)." Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) 2, no. 1 (2023): 12–18. http://dx.doi.org/10.58602/jima-ilkom.v2i1.13.

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Data warehouse akan memungkinkan integrasi data dari berbagai macam aplikasi atau sistem yang dapat menjamin akses yang lebih cepat bagi manajemen untuk memperoleh informasi dan menganalisanya sebagai bahan informasi. Penggunaan Teknologi OLAP dapat memudahkan para stakeholder dalam mengambil keputusan. Tujuan penelitian ini adalah merancang data warehouse untuk transaksi penjualan agar mendukung proses analisa bagi para pihak eksekutif dalam pengambilan keputusan. Data warehouse Penjualan dirancangan dengan menggunakan Nine Step Methodology data warehouse sehingga menghasilkan desain data war

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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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Camilleri, Carl, Joseph G. Vella, and Vitezslav Nezval. "HTAP With Reactive Streaming ETL." Journal of Cases on Information Technology 23, no. 4 (2021): 1–19. http://dx.doi.org/10.4018/jcit.20211001.oa10.

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In database management systems (DBMSs), query workloads can be classified as online transactional processing (OLTP) or online analytical processing (OLAP). These often run within separate DBMSs. In hybrid transactional and analytical processing (HTAP), both workloads may execute within the same DBMS. This article shows that it is possible to run separate OLTP and OLAP DBMSs, and still support timely business decisions from analytical queries running off fresh transactional data. Several setups to manage OLTP and OLAP workloads are analysed. Then, benchmarks on two industry standard DBMSs empir

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Dissertations / Theses on the topic "Online Analytical Processing (OLAP)"

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Kraft, Tobias. "Rewrite-Strategien für generierte Anfragesequenzen im Online Analytical Processing." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB9967003.

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Zhao, Hongyan. "A visualization tool to support Online Analytical Processing." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000622.

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Sapia, Carsten. "PROMISE modeling and predicting user behavior for online analytical processing applications /." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=962681628.

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Marquardt, Justus. "Metadatendesign zur Integration von online analytical processing in das Wissensmanagement." Hamburg Kovač, 2007. http://www.verlagdrkovac.de/978-3-8300-3598-5.htm.

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Marquardt, Justus. "Metadatendesign zur Integration von Online Analytical Processing in das Wissensmanagement /." Hamburg : Kovač, 2008. http://www.verlagdrkovac.de/978-3-8300-3598-5.htm.

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Chomo, Michal. "Optimalizace zpracování dat o síti Tor pomocí OLAP." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403126.

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Tor is a distributed network providing privacy and anonymity on the Internet. Information about Tor is publicly available in a form of consensus documents. Existing tools that are able to display this information do not provide both historical and detailed view of it. A tool named Consensus Parser that provides a detailed, historical view of this information and extends it with geolocation and DNS information, was created as a part of TARZAN research project at Brno University of Technology. It stores the information in regular files on disk and makes it accessible via REST API. This thesis ex

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Kamath, Akash S. "An efficient algorithm for caching online analytical processing objects in a distributed environment." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174678903.

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Tocci, Gabriel. "A Comparison of Leading Database Storage Engines in Support of Online Analytical Processing in an Open Source Environment." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etd/1111.

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Online Analytical Processing (OLAP) has become the de facto data analysis technology used in modern decision support systems. It has experienced tremendous growth, and is among the top priorities for enterprises. Open source systems have become an effective alternative to proprietary systems in terms of cost and function. The purpose of the study was to investigate the performance of two leading database storage engines in an open source OLAP environment. Despite recent upgrades in performance features for the InnoDB database engine, the MyISAM database engine is shown to outperform the InnoDB

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Jakawat, Wararat. "Graphs enriched by Cubes (GreC) : a new approach for OLAP on information networks." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE2087/document.

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L'analyse en ligne OLAP (Online Analytical Processing) est une des technologies les plus importantes dans les entrepôts de données, elle permet l'analyse multidimensionnelle de données. Cela correspond à un outil d'analyse puissant, tout en étant flexible en terme d'utilisation pour naviguer dans les données, plus ou moins en profondeur. OLAP a été le sujet de différentes améliorations et extensions, avec sans cesse de nouveaux problèmes en lien avec le domaine et les données, par exemple le multimedia, les données spatiales, les données séquentielles, etc. A l'origine, OLAP a été introduit po

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Belcin, Andrei. "Smart Cube Predictions for Online Analytic Query Processing in Data Warehouses." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41956.

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A data warehouse (DW) is a transformation of many sources of transactional data integrated into a single collection that is non-volatile and time-variant that can provide decision support to managerial roles within an organization. For this application, the database server needs to process multiple users’ queries by joining various datasets and loading the result in main memory to begin calculations. In current systems, this process is reactionary to users’ input and can be undesirably slow. In previous studies, it was shown that a personalization scheme of a single user’s query patterns an

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Books on the topic "Online Analytical Processing (OLAP)"

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Codd, E. F. Providing OLAP (on-line analytical processing) to user-analysts: An IT mandate. Codd & Date, Inc., 1993.

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ACM, International Workshop on Data Warehousing and OLAP (1st 1998 Washington D. C. ). DOLAP '98: ACM First International Workshop on Data Warehousing and OLAP in conjunction with the Seventh International Conference on Information and Knowledge Management (CIKM '98), Nov. 7, 1998, Washington, D.C., USA. ACM Press, 1999.

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Olap: Essbase, Online Analytical Processing, Microstrategy, Olap Cube, Comparison of Olap Servers, Microsoft Analysis Services. Books LLC, 2010.

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Parker, Philip M. The 2007-2012 World Outlook for Online Analytical Processing (OLAP). ICON Group International, Inc., 2006.

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Parker, Philip M. The 2007-2012 Outlook for Online Analytical Processing (OLAP) in India. ICON Group International, Inc., 2006.

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Parker, Philip M. The 2007-2012 Outlook for Online Analytical Processing (OLAP) in Japan. ICON Group International, Inc., 2006.

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Parker, Philip M. The 2007-2012 Outlook for Online Analytical Processing (OLAP) in Greater China. ICON Group International, Inc., 2006.

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Preserving Privacy in On-Line Analytical Processing (OLAP) (Advances in Information Security). Springer, 2006.

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Parker, Philip M. The 2007-2012 Outlook for Online Analytical Processing (OLAP) in the United States. ICON Group International, Inc., 2006.

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Celko, Joe. Joe Celko's Analytics and OLAP in SQL. Elsevier Science & Technology Books, 2010.

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Book chapters on the topic "Online Analytical Processing (OLAP)"

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Taniar, David, and Wenny Rahayu. "Online Analytical Processing (OLAP)." In Data-Centric Systems and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81979-8_19.

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Scholl, Marc H., Svetlana Mansmann, Matteo Golfarelli, and Stefano Rizzi. "Visual Online Analytical Processing (OLAP)." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_447-3.

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Scholl, Marc H., Svetlana Mansmann, Matteo Golfarelli, and Stefano Rizzi. "Visual Online Analytical Processing (OLAP)." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_447.

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Jukic, Nenad, Boris Jukic, and Mary Malliaris. "Online Analytical Processing (OLAP) for Decision Support." In Handbook on Decision Support Systems 1. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-48713-5_13.

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Hughes, Robert C. "Online Analytical Processing and the OLAP Cube Multidimensional Database." In Human Capital Systems, Analytics, and Data Mining. Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315153650-6.

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Codd, E. F. "OLAP On-Line Analytical Processing." In Controlling-Praxis erfolgreicher Unternehmen. Gabler Verlag, 1998. http://dx.doi.org/10.1007/978-3-322-82721-0_6.

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Chamoni, Peter, and Peter Gluchowski. "On-Line Analytical Processing (OLAP)." In Das Data Warehouse-Konzept. Gabler Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-89533-2_9.

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Chamoni, Peter, and Peter Gluchowski. "On-Line Analytical Processing (OLAP)." In Das Data Warehouse-Konzept. Gabler Verlag, 1998. http://dx.doi.org/10.1007/978-3-322-99372-4_13.

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Determann, Lorenz. "On-Line Analytical Processing (OLAP)." In Modellierung Analytischer Informationssysteme. Deutscher Universitätsverlag, 2002. http://dx.doi.org/10.1007/978-3-663-07724-4_3.

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Dawson, Catherine. "Online analytical processing." In A–Z of Digital Research Methods. Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-36.

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Conference papers on the topic "Online Analytical Processing (OLAP)"

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Chen, Chen, Xifeng Yan, Feida Zhu, Jiawei Han, and Philip S. Yu. "Graph OLAP: Towards Online Analytical Processing on Graphs." In 2008 Eighth IEEE International Conference on Data Mining (ICDM). IEEE, 2008. http://dx.doi.org/10.1109/icdm.2008.30.

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Freitas, Charles, Roberta Gouveia, and Adenilton Silva. "Online Analytical Processing em Ambientes Virtuais de Aprendizagem da Educação a Distância." In IV Workshop de Desafios da Computação aplicada à Educação. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/desafie.2015.10035.

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Este artigo apresenta o processo Knowledge Discovery in Databases (KDD) aplicado no contexto da Educação a Distância (EaD) e dos ambientes virtuais de aprendizagem. O objetivo consiste em aplicar o processo KDD para traçar o perfil da EaD no Brasil e efetuar uma análise acurada dos cursos realizados em ambientes e-learning, bem como revelar os principais desafios da área. A metodologia consiste em coletar dados abertos governamentais de alta granularidade dos sistemas Universidade Aberta do Brasil (UAB) e e-MEC, em seguida aplicar o processo ETL, organizar e integrar os dados em um Data Wareho

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Zhukova, M. "BI AND OLAP: POWERFUL TOOLS FOR DATA ANALYSIS." In Digital transformation in the economy of the transport complex. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/conferencearticle_67893109e03954.69649687.

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In this article, we will look at how Business Intelligence (BI) and Online Analytical Processing (OLAP) technologies affect the work of modern businesses. We will describe the basic principles of operation of these tools, as well as their advantages and disadvantages. Special attention will be paid to how BI and OLAP help analyze large amounts of data and make management decisions. We will also give examples of the successful use of these technologies in various industries and discuss the prospects for their development.

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Galavetdinov, I. N., D. M. Bagymanov, E. S. Belashova, and E. Sh Kremleva. "Enhancing OLAP Query Performance Using NVIDIA GPU Shared Memory." In International scientific and practical conference “Smart cities and sustainable development of regions” (SMARTGREENS 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.1.1.056.

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This article investigates the application of NVIDIA GPU shared memory for enhancing query performance in Online Analytical Processing (OLAP) systems. It delves into the unique capabilities of GPU architectures, specifically focusing on how shared memory can be optimized to accelerate analytical database queries. The discussion encompasses the use of integer-based encoding for organizing dimension tables and aggregated structures as simple arrays, which aligns with the GPU’s memory banks to optimize data access and minimize overhead. Key strategies outlined include the dynamic resolution of mem

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Kavitha, K. "Optimal Stacked Sparse Auto-encoder based Online Analytic Processing (OLAP) Hypercube Text Analysis." In 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2023. http://dx.doi.org/10.1109/icecct56650.2023.10179777.

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Nascimento, Lorenna Christ'na, Lucas Knust, Ramon Santos, et al. "Análise de Dados Pluviométricos Multi-fonte Baseada em Técnicas OLAP e de Visualização: uma Abordagem Prática." In Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/wcama.2021.15731.

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Estudos sobre o clima têm ganhado relevância devido ao aumento do número de eventos climáticos com impactos severos observados na última década, em especial em áreas urbanas. Por exemplo, ocorrências de grandes valores acumulados de chuva podem causar inundações e deslizamentos de terra, impactando o trânsito da cidade e até mesmo custando a vida de cidadãos. Para possibilitar o monitoramento de volumes de chuva, estações pluviométricas se encontram instaladas pelo país. Entretanto, tais estações são controladas por múltiplas organizações e oferecem dados em formatos distintos. Neste artigo pr

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Santos, Rafael, Fábio Nunes, Manoela Oliveira, and Methanias Júnior. "Um Survey sobre a utilização de técnicas de Data Mining e Data Analytics por agências de investigação criminal do Brasil." In XIII Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2017. http://dx.doi.org/10.5753/sbsi.2017.6092.

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Em investigações criminais complexas, os envolvidos lidam com uma quantidade enorme e complexa de dados que necessitam de recursos computacionais especializados na extração de informações e correlações relevantes para o processo investigativo. Neste cenário, é necessário que haja apoio computacional, desde a etapa de armazenamento e integração entre diferentes bases de dados, até a etapa de análise estatística e descoberta de padrões. Este artigo discute os resultados de um Survey aplicado aos principais órgãos de combate ao crime organizado, tais como as agências de Inteligência de Segurança

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Berta, Doraanca. "BUSINESS IINTELLIGENCE IN EDUCATION." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-101.

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In order to steer their internal organization, companies are experiencing mountains of data need to obtain information about the processes and people within the organization, the companies’ environment, and other factors that influence their business. Business Intelligence (BI) provides support for delivering this information and helps organizations achieve this focus giving the complete vision to learn from the past, monitor the present and gain an inside into the future. Nowadays, on the market there is a wide range of software rather included in the term "umbrella", products that are nothin

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Zou, Benyuan, Jinguo You, Jiaman Ding, and Hao Sun. "TAVO: A Tree-like Analytical View for OLAP." In 2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE, 2019. http://dx.doi.org/10.1109/pacrim47961.2019.8985106.

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Tinnefeld, Christian, Donald Kossmann, Martin Grund, et al. "Elastic online analytical processing on RAMCloud." In the 16th International Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2452376.2452429.

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