Titlebook: Descriptive Data Mining; David L. Olson Book 20171st edition Springer Nature Singapore Pte Ltd. 2017 Business Analytics.Data Mining.Descri

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Ballerina

Ayesha Shahid,Isfandyar Ali Khang at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management, seeking to provide a context of analytics in the overall framework of information management.

偏見

https://doi.org/10.1007/978-981-10-3340-7Business Analytics; Data Mining; Descriptive Data Mining; Visualization; Open Source Software; Cluster An

Projection

978-981-10-9847-5Springer Nature Singapore Pte Ltd. 2017

gruelling

斷斷續(xù)續(xù)

Market Basket Analysis,icial intelligence) to extract interesting patterns from data stored in large databases. Here . means non-trivial, implicit, previously unknown, and easily understood and described knowledge that can be used (.).

LANCE

PAGAN

Descriptive Data Mining,g at various forms of statistics to gain understanding of the state of whatever field is being examined. The book begins with a chapter on knowledge management, seeking to provide a context of analytics in the overall framework of information management.

符合規(guī)定

David L. OlsonIncludes a discussion of descriptive analytic modeling.Covers visualization in the context of data mining.Demonstrates modeling with R and other open source software products.Includes supplementary ma

思考才皺眉