Principles of Data Mining
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Main Library Stacks | Reference | 005.74 HAN (Browse shelf(Opens below)) | Available | 013170 |
Includes index
Introduction --
Measurement and data --
Visualizing and exploring data --
Data analysis and uncertainty --
A systematic overview of data mining algorithms --
Models and patterns --
Score functions for data mining algorithms --
Search and optimization methods --
Descriptive modeling --
Predictive modeling for classification --
Predictive modeling for regression --
Data organization and databases --
Finding patterns and rules --
Retrieval by content.
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer
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