Data Mining презентация

Data Mining
 Presented by: M.Bauyrzhan
      Bussiness intelligence
 Business Intelligence (BI) refers to applications and technologies whichData Mining: Confluence of Multiple Disciplines
 1) Database Technology  Application of Data Mining
 Industry      Data Warehousing
 A data warehouse is a subject-oriented, integrated, time-variant andThanks to all!
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Data Mining Presented by: M.Bauyrzhan T.Raiymbek


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Bussiness intelligence Business Intelligence (BI) refers to applications and technologies which are used to gather, provide access to, and analyze data and information about their company operations. Data Mining is an important part of Business Intelligence

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Data Mining: Confluence of Multiple Disciplines 1) Database Technology Steps of Data Mining 2) Machine Learning Data integration 3) Information Science Data selection 4) Statistics Data cleaning 5) Visualization Data transormation 6) Other disciplines Pattern evaluation Knowledge presentation

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Application of Data Mining Industry Application Finance Credit Card Analysis Insurance Claims, Fraud Analysis Telecommunication Call record analysis Transport Logistics management Consumer goods Promotion Analysis Scientific Research Image, Video, Speech Utilities Power usage analysis

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Data Warehousing A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management’s decision making process. The most common form of data integration. Copy sources into a single database and try to keep it up-to-date. Usual method: periodic reconstruction of the warehouse, perhaps overnight. Frequently essential for analytic queries.

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Thanks to all! l


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