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  2. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...

  3. International Journal of Data Warehousing and Mining

    en.wikipedia.org/wiki/International_Journal_of...

    The International Journal of Data Warehousing and Mining (IJDWM) [1] is a quarterly peer-reviewed academic journal covering data warehousing and data mining. It was established in 2005 and is published by IGI Global. The editor-in-chief is David Taniar (Monash University, Australia).

  4. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [2] OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. [3]

  5. Category:Data warehousing - Wikipedia

    en.wikipedia.org/wiki/Category:Data_warehousing

    Download as PDF; Printable version; ... Pages in category "Data warehousing" ... International Journal of Data Warehousing and Mining; K. Kimball lifecycle;

  6. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. [1] Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a ...

  7. Bibliomining - Wikipedia

    en.wikipedia.org/wiki/Bibliomining

    Bibliomining is the use of a combination of data mining, data warehousing, and bibliometrics for the purpose of analyzing library services. [1] [2] The term was created in 2003 by Scott Nicholson, Assistant Professor, Syracuse University School of Information Studies, in order to distinguish data mining in a library setting from other types of data mining.

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