Data mining : foundations and intelligent paradigms : statistical, bayesian, time series and other theoretical aspects, vol II
Material type: TextSeries: Intelligent Systems Reference LibraryPublication details: New York : Springer, ©2011Description: 250 pISBN:- 9783642232404
- 006.312 23 HOL-D
- QA76.9.D343
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD Reference | Computer Science and Engineering | REF 006.312 HOL-D (Browse shelf(Opens below)) | Available | 001216 |
Browsing IIITD shelves, Shelving location: Reference, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
REF 006.31 ZHO-E Ensemble methods : | REF 006.312 DAS-E Experimental designs in data science with least resources | REF 006.312 HOL-D Data mining : foundations and intelligent paradigms : | REF 006.312 HOL-D Data mining : | REF 006.312 LES-M Mining of massive datasets | REF 006.312 MCC-D Data mining and predictive analysis : | REF 006.312 MEN-I Investigative data mining for security and criminal detection |
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Annotation There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
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