Outlier Analysis
| AUTHOR | Aggarwal, Charu C. |
| PUBLISHER | Springer (05/04/2018) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
Provides all the fundamental algorithms for outlier analysis in great detail including those for advanced data types, including specific insights into when and why particular algorithms work effectively
Discusses the latest ideas in the field such as outlier ensembles, matrix factorization, kernel methods, and neural networks
Covers theoretical and practical aspects of outlier analysis including specific practical details for accurate implementation
Offers numerous illustrations and exercises for classroom teaching, including a solution manual
Discusses the latest ideas in the field such as outlier ensembles, matrix factorization, kernel methods, and neural networks
Covers theoretical and practical aspects of outlier analysis including specific practical details for accurate implementation
Offers numerous illustrations and exercises for classroom teaching, including a solution manual
Show More
Product Format
Product Details
ISBN-13:
9783319837727
ISBN-10:
3319837729
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
Edition Number:
0002
More Product Details
Page Count:
466
Carton Quantity:
8
Product Dimensions:
7.00 x 0.98 x 10.00 inches
Weight:
1.85 pound(s)
Feature Codes:
Illustrated
Country of Origin:
NL
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Data Science - Data Analytics
Computers | System Administration - Storage & Retrieval
Dewey Decimal:
005.74
Descriptions, Reviews, Etc.
publisher marketing
Provides all the fundamental algorithms for outlier analysis in great detail including those for advanced data types, including specific insights into when and why particular algorithms work effectively
Discusses the latest ideas in the field such as outlier ensembles, matrix factorization, kernel methods, and neural networks
Covers theoretical and practical aspects of outlier analysis including specific practical details for accurate implementation
Offers numerous illustrations and exercises for classroom teaching, including a solution manual
Discusses the latest ideas in the field such as outlier ensembles, matrix factorization, kernel methods, and neural networks
Covers theoretical and practical aspects of outlier analysis including specific practical details for accurate implementation
Offers numerous illustrations and exercises for classroom teaching, including a solution manual
Show More
Author:
Aggarwal, Charu C.
Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 90 papers in major conferences and journals in the database and data mining field. He has applied for or been granted over 50 US and International patents, and has twice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 14 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Epispire award for environmental excellence in 2003. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and a program vice-chair for the SIAM Conference on Data Mining, 2007. He is an associate editor of the IEEE Transactions on Data Engineering and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE.
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List Price $79.99
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$79.19