{
"item_title" : "Data Analysis, Machine Learning and Knowledge Discovery",
"item_author" : [" Myra Spiliopoulou", "Lars Schmidt-Thieme", "Ruth Janning "],
"item_description" : "AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection.- AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks.- AREA Data Analysis and Classification in Marketing.- AREA Data Analysis in Finance.- AREA Data Analysis in Biostatistics and Bioinformatics.- AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology.- LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science.",
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Data Analysis, Machine Learning and Knowledge Discovery
Overview
AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection.- AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks.- AREA Data Analysis and Classification in Marketing.- AREA Data Analysis in Finance.- AREA Data Analysis in Biostatistics and Bioinformatics.- AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology.- LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science.
This item is Non-Returnable
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Details
- ISBN-13: 9783319015941
- ISBN-10: 331901594X
- Publisher: Springer
- Publish Date: December 2013
- Dimensions: 9.21 x 6.14 x 0.99 inches
- Shipping Weight: 1.51 pounds
- Page Count: 470
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