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Статті в журналах з теми "Data Warehousing and Online Analytical Processing"
Bhardwaj, Vinayak, and Rincy Jacob. "Data Warehousing and OLAP Technology." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 1, no. 3 (March 31, 2014): 05–11. http://dx.doi.org/10.53555/nncse.v1i3.521.
Повний текст джерелаSong, Yanan, and Xiaolong Hua. "Implementation of Data Mining Technology in Bonded Warehouse Inbound and Outbound Goods Trade." Journal of Organizational and End User Computing 34, no. 3 (May 2022): 1–18. http://dx.doi.org/10.4018/joeuc.291511.
Повний текст джерелаSalman, Ban, Nada M. Alhakkak, and Mustafa Musa Jaber. "Football Player Decision Support System Baghdad-City as a Case Study." International Journal of Engineering & Technology 7, no. 3.20 (September 1, 2018): 406. http://dx.doi.org/10.14419/ijet.v7i3.20.20582.
Повний текст джерелаFong, Joseph, Qing Li, and Shi-Ming Huang. "Universal Data Warehousing Based on a Meta-Data Modeling Approach." International Journal of Cooperative Information Systems 12, no. 03 (September 2003): 325–63. http://dx.doi.org/10.1142/s0218843003000772.
Повний текст джерелаSamsinar, Riza, Jatmiko Endro Suseno, and Catur Edi Widodo. "Power Distribution Analysis For Electrical Usage In Province Area Using Olap (Online Analytical Processing)." E3S Web of Conferences 31 (2018): 11010. http://dx.doi.org/10.1051/e3sconf/20183111010.
Повний текст джерелаBhukya, Raghuram. "Generalization Driven Fuzzy Classification Rules Extraction using OLAM Data Cubes." International Journal of Engineering and Computer Science 9, no. 2 (February 28, 2020): 24962–69. http://dx.doi.org/10.18535/ijecs/v9i2.4444.
Повний текст джерелаCamilovic, Dragana, Dragana Becejski-Vujaklija, and Natasa Gospic. "A call detail records data mart: Data modeling and OLAP analysis." Computer Science and Information Systems 6, no. 2 (2009): 87–110. http://dx.doi.org/10.2298/csis0902087c.
Повний текст джерелаLiu, Dun Nan, Xin Fan Jiang, and Si Yuan Zhang. "Operating Analysis and Data Mining System for Power Grid Dispatching." Advanced Materials Research 787 (September 2013): 611–17. http://dx.doi.org/10.4028/www.scientific.net/amr.787.611.
Повний текст джерелаOukid, Lamia, Omar Boussaid, Nadjia Benblidia, and Fadila Bentayeb. "TLabel." International Journal of Data Warehousing and Mining 12, no. 4 (October 2016): 54–74. http://dx.doi.org/10.4018/ijdwm.2016100103.
Повний текст джерелаVenkatakrishnan, Ramesh. "Design, Implementation, and Assessment of Innovative Data Warehousing; Extract, Transformation, and Load(ETL); and Online Analytical Processing(OLAP) on BI." International Journal of Database Management Systems 12, no. 3 (June 30, 2020): 1–6. http://dx.doi.org/10.5121/ijdms.2020.12301.
Повний текст джерелаДисертації з теми "Data Warehousing and Online Analytical Processing"
Koylu, Caglar. "A Case Study In Weather Pattern Searching Using A Spatial Data Warehouse Model." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609573/index.pdf.
Повний текст джерелаReil, Michael J., T. George Bartlett, and Kevin Henry. "REAL TIME DATA WAREHOUSING AND ON LINE ANALYTICAL PROCESSING AT ABERDEEN TEST CENTER." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604257.
Повний текст джерелаThis paper is a follow on to a paper presented at the 2005 International Telemetry Conference by Dr. Samuel Harley et. al., titled Data, Information, and Knowledge Management. This paper will describe new techniques and provide further detail into the inner workings of the VISION (Versatile Information System – Integrated, Online) Engineering Performance Data Mart.
Leonardi, Luca <1983>. "A framework for trajectory data warehousing and visual OLAP analysis." Doctoral thesis, Università Ca' Foscari Venezia, 2012. http://hdl.handle.net/10579/1237.
Повний текст джерелаThis thesis is aimed at designing a formal framework for modelling a Trajectory Data Warehouse, namely a data warehouse able to store aggregate information related to trajectories of moving objects, which also offers visual OLAP operations for data analysis. The TDW model includes both a temporal and a spatial dimensions, that ensure flexibility, making our model general enough to deal with objects that are either completely free or constrained in their movements. This dimensions and associated hierarchies reflect the structure of the objects and of the environment in which they travel. Our framework also includes a visual interface for easily navigating aggregate measures obtained from OLAP queries at different granularities. To highlight the usefulness of the framework, we propose two different case studies, differing for the type of the observed moving objects, the available information about the objects, and their movement constraints.
Ives, Zachary G. "Efficient query processing for data integration /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6864.
Повний текст джерелаMarquardt, Justus. "Metadatendesign zur Integration von Online Analytical Processing in das Wissensmanagement /." Hamburg : Kovač, 2008. http://www.verlagdrkovac.de/978-3-8300-3598-5.htm.
Повний текст джерелаMarquardt, Justus. "Metadatendesign zur Integration von online analytical processing in das Wissensmanagement." Hamburg Kovač, 2007. http://www.verlagdrkovac.de/978-3-8300-3598-5.htm.
Повний текст джерелаSchwarz, Holger. "Integration von Data-Mining und online analytical processing : eine Analyse von Datenschemata, Systemarchitekturen und Optimierungsstrategien /." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10720634.
Повний текст джерелаWesterlund, Elisabeth, and Hanna Persson. "Implementation of Business Intelligence Systems : A study of possibilities and difficulties in small IT-enterprises." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-255915.
Повний текст джерелаTechaplahetvanich, Kesaraporn. "A visualization framework for exploring correlations among atributes of a large dataset and its applications in data mining." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0216.
Повний текст джерелаJakawat, Wararat. "Graphs enriched by Cubes (GreC) : a new approach for OLAP on information networks." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE2087/document.
Повний текст джерелаOnline Analytical Processing (OLAP) is one of the most important technologies in data warehouse systems, which enables multidimensional analysis of data. It represents a very powerful and flexible analysis tool to manage within the data deeply by operating computation. OLAP has been the subject of improvements and extensions across the board with every new problem concerning domain and data; for instance, multimedia, spatial data, sequence data and etc. Basically, OLAP was introduced to analyze classical structured data. However, information networks are yet another interesting domain. Extracting knowledge inside large networks is a complex task and too big to be comprehensive. Therefore, OLAP analysis could be a good idea to look at a more compressed view. Many kinds of information networks can help users with various activities according to different domains. In this scenario, we further consider bibliographic networks formed on the bibliographic databases. This data allows analyzing not only the productions but also the collaborations between authors. There are research works and proposals that try to use OLAP technologies for information networks and it is called Graph OLAP. Many Graph OLAP techniques are based on a cube of graphs.In this thesis, we propose a new approach for Graph OLAP that is graphs enriched by cubes (GreC). In a different and complementary way, our proposal consists in enriching graphs with cubes. Indeed, the nodes or/and edges of the considered network are described by a cube. It allows interesting analyzes for the user who can navigate within a graph enriched by cubes according to different granularity levels, with dedicated operators. In addition, there are four main aspects in GreC. First, GreC takes into account the structure of network in order to do topological OLAP operations and not only classical or informational OLAP operations. Second, GreC has a global view of a network considered with multidimensional information. Third, the slowly changing dimension problem is taken into account in order to explore a network. Lastly, GreC allows data analysis for the evolution of a network because our approach allows observing the evolution through the time dimensions in the cubes.To evaluate GreC, we implemented our approach and performed an experimental study on a real bibliographic dataset to show the interest of our proposal. GreC approach includes different algorithms. Therefore, we also validated the relevance and the performances of our algorithms experimentally
Книги з теми "Data Warehousing and Online Analytical Processing"
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. New York: ACM Press, 1999.
Знайти повний текст джерелаPreserving Privacy in On-Line Analytical Processing (OLAP) (Advances in Information Security). Springer, 2006.
Знайти повний текст джерелаJarke, Matthias, Maurizio Lenzerini, Yannis Vassiliou, and Panos Vassiliadis. Fundamentals of Data Warehouses. Springer London, Limited, 2013.
Знайти повний текст джерелаJarke, Matthias, Maurizio Lenzerini, Yannis Vassiliou, and Panos Vassiliadis. Fundamentals of Data Warehouses. 2nd ed. Springer, 2003.
Знайти повний текст джерела“Data Mining Concepts & Techniques”. 3rd ed. Morgan Kaufmann Publishers, 2011.
Знайти повний текст джерелаWang, Lingyu, Sushil Jajodia, and Duminda Wijesekera. Preserving Privacy in on-Line Analytical Processing (OLAP). Springer London, Limited, 2007.
Знайти повний текст джерелаWang, Lingyu, Sushil Jajodia, and Duminda Wijesekera. Preserving Privacy in On-Line Analytical Processing. Springer, 2010.
Знайти повний текст джерелаBibliographic post-processing with the TIS intelligent gateway: Analytical and communication capabilities. [Alexandria, Va.]: DTIC, 1986.
Знайти повний текст джерелаHBase: The Definitive Guide. 2nd ed. O'Reilly Media, 2020.
Знайти повний текст джерелаHBase: The Definitive Guide. O'Reilly Media, 2011.
Знайти повний текст джерелаЧастини книг з теми "Data Warehousing and Online Analytical Processing"
Maedche, Alexander, Andreas Hotho, and Markus Wiese. "Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing." In Data Warehousing and Knowledge Discovery, 258–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44466-1_25.
Повний текст джерелаKehlenbeck, Matthias, and Michael H. Breitner. "Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing." In Data Warehousing and Knowledge Discovery, 298–311. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03730-6_24.
Повний текст джерелаTaniar, David, and Wenny Rahayu. "Online Analytical Processing (OLAP)." In Data-Centric Systems and Applications, 501–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81979-8_19.
Повний текст джерелаLehner, Wolfgang. "‘Data Warehouse’ und ‘Online Analytical Processing’." In Multidimensionale Datenbanksysteme, 28–43. Wiesbaden: Vieweg+Teubner Verlag, 1999. http://dx.doi.org/10.1007/978-3-322-86766-7_2.
Повний текст джерелаJohnson, Diane. "Implementing a Hybrid Online Analytical Processing (HOLAP) Solution." In Data Management, 747–53. 3rd ed. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-69.
Повний текст джерелаHughes, Robert C. "Online Analytical Processing and the OLAP Cube Multidimensional Database." In Human Capital Systems, Analytics, and Data Mining, 103–26. Boca Raton : CRC Press, 2018. | Series: Chapman & Hall/CRC data mining & knowledge discovery series ; 46: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315153650-6.
Повний текст джерелаKämpgen, Benedikt. "DC Proposal: Online Analytical Processing of Statistical Linked Data." In The Semantic Web – ISWC 2011, 301–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25093-4_22.
Повний текст джерелаPei, Jian. "A General Model for Online Analytical Processing of Complex Data." In Conceptual Modeling - ER 2003, 321–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39648-2_26.
Повний текст джерелаInoue, Hiroyuki, Toshiyuki Amagasa, and Hiroyuki Kitagawa. "An ETL Framework for Online Analytical Processing of Linked Open Data." In Web-Age Information Management, 111–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38562-9_12.
Повний текст джерелаDi Martino, Sergio, Sandro Bimonte, Michela Bertolotto, Filomena Ferrucci, and Vincenza Leano. "Spatial OnLine Analytical Processing of Geographic Data through the Google Earth Interface." In Geocomputation, Sustainability and Environmental Planning, 163–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19733-8_10.
Повний текст джерелаТези доповідей конференцій з теми "Data Warehousing and Online Analytical Processing"
Correia, Jose, Maribel Yasmina Santos, Carlos Costa, and Carina Andrade. "Fast Online Analytical Processing for Big Data Warehousing." In 2018 International Conference on Intelligent Systems (IS). IEEE, 2018. http://dx.doi.org/10.1109/is.2018.8710583.
Повний текст джерелаXie, Zhongle, Hongbin Ying, Cong Yue, Meihui Zhang, Gang Chen, and Beng Chin Ooi. "Cool, a COhort OnLine analytical processing system." In 2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE, 2020. http://dx.doi.org/10.1109/icde48307.2020.00056.
Повний текст джерелаChen, 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.
Повний текст джерелаInokuchi, Akihiro, and Koichi Takeda. "A method for online analytical processing of text data." In the sixteenth ACM conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1321440.1321506.
Повний текст джерелаWorth, Aidan, Aris Televantos, Nicos Evmides, Michalis P. Michaelides, and Herodotos Herodotou. "Online Analytical Processing of Port Calls for Decision Support." In 2022 23rd IEEE International Conference on Mobile Data Management (MDM). IEEE, 2022. http://dx.doi.org/10.1109/mdm55031.2022.00095.
Повний текст джерелаAggarwal, Charu C., and Philip S. Yu. "LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams." In 2008 IEEE 24th International Conference on Data Engineering (ICDE 2008). IEEE, 2008. http://dx.doi.org/10.1109/icde.2008.4497451.
Повний текст джерелаFreitas, 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.
Повний текст джерелаTsakiridis, Sotirios, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Nikolaos Papaioannou, and Dimitrios Varsamis. "Analytics with Oracle APEX for Enhanced Data Warehouse Management: A Case Study of a Greek Soft Drinks Company." In 43rd International Conference on Organizational Science Development. University of Maribor Press, 2024. http://dx.doi.org/10.18690/um.fov.3.2024.73.
Повний текст джерелаSviridov, Mikhail, Anton Mosin, Sergey Lebedev, and Ron Thompson. "VENDOR-NEUTRAL STOCHASTIC INVERSION OF LWD DEEP AZIMUTHAL RESISTIVITY DATA AS A STEP TOWARD EFFICIENCY STANDARDIZATION OF GEOSTEERING SERVICES." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0103.
Повний текст джерелаWang, Xinguang, Dong Li, Lei Zhang, Feng Zhang, Wenhao Wang, and Hui Gao. "A NOVEL METHOD FOR FORMATION DENSITY MEASUREMENT IN CASED WELLS." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0065.
Повний текст джерела