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Outlier Ensembles
Aggarwal, Charu C.; Sathe, Saket
€ 97.32
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Description for Outlier Ensembles
Hardback. Num Pages: 276 pages, 46 black & white illustrations, 9 colour illustrations, 10 colour tables, biography. BIC Classification: UFM; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle ... Read more
This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
276
Condition
New
Number of Pages
276
Place of Publication
Cham, Switzerland
ISBN
9783319547640
SKU
V9783319547640
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Aggarwal, Charu C.; Sathe, Saket
Charu C. Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his undergraduate degree in Computer Science from the Indian Institute of Technology at Kanpur in 1993 and his Ph.D. in Operations Research from the Massachusetts Institute of Technology in 1996. He has published more than 300 ... Read more
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