Data mining [v.2] : foundations and intelligent paradigms
By: .
Contributor(s): Holmes, Dawn E., Ed.
Material type:
BookSeries: Intelligent Systems Reference Library / Edited By Janusz Kacprzyk V.24. Publisher: Berlin Springer 2012Description: xii, 246p.ISBN: 9783642232404.Subject(s): Data miningDDC classification: 006.312 | D262
Contents:
Contents: v.2. Statistical, Bayesian, Time series and other theoretical aspects
| Item type | Current location | Collection | Call number | url | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
Books
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PK Kelkar Library, IIT Kanpur | COMPACT STORAGE (BASEMENT) | 006.312 D262 (Browse shelf) | Book Request | v.2 | Available | A176550 |
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| 006.31 R12l Logical and relational learning | 006.31 R745r Representations for genetic and evolutionary algorithms | 006.312 D262 Data mining [v.3] | 006.312 D262 Data mining [v.2] | 006.312 D262 Data mining | 006.312 F825 FOUNDATIONS AND ADVANCES IN DATA MINING | 006.312 G14k Knowledge discovery from data streams |
Contents: v.2. Statistical, Bayesian, Time series and other theoretical aspects
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