How to Expect the Unexpected : The Science of Making Predictions and the Art of Knowing When Not To
Kit Yates
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How to Expect the Unexpected : The Science of Making Smart Predictions
Kit Yates
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Data Mining : A Tutorial-Based Primer, Second Edition
Richard J. Roiger
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Data Classification : Algorithms and Applications
Charu C. Aggarwal
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RapidMiner : Data Mining Use Cases and Business Analytics Applications
Markus (Institute of Technology Blanchardstown, Dublin, Irela Hofmann
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Text Mining and Visualization : Case Studies Using Open-Source Tools
Markus Hofmann
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Data Science and Machine Learning for Non-Programmers : Using SAS Enterprise Miner
Dothang Truong
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Data Science and Machine Learning for Non-Programmers : Using SAS Enterprise Miner
Dothang Truong
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Data Science and Machine Learning for Non-Programmers : Using SAS Enterprise Miner
Dothang Truong
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How to Expect the Unexpected : The Science of Making Predictions and the Art of Knowing When Not To
Kit Yates
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Data Classification : Algorithms and Applications
Charu C. Aggarwal
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Exploratory Data Analysis Using R
Ronald K. (GeoVera Holdings, Inc., CA, USA) Pearson
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Human Capital Systems, Analytics, and Data Mining
Robert C. (Golden Gate University, California, USA) Hughes
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Exploratory Data Analysis Using R
Ronald K. (GeoVera Holdings, Inc., CA, USA) Pearson
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Social Networks with Rich Edge Semantics
Quan Zheng
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Data Mining with R : Learning with Case Studies, Second Edition
Luis (University of Porto, Portugal University of Porto, Portug Torgo
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Text Mining and Visualization : Case Studies Using Open-Source Tools
Markus Hofmann
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Event Mining : Algorithms and Applications
Tao (Florida International University, Miami, USA) Li
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Accelerating Discovery : Mining Unstructured Information for Hypothesis Generation
Scott (IBM Research, San Jose, California, USA) Spangler
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Spectral Feature Selection for Data Mining
Zheng Alan Zhao
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Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data
Anuj Karpatne
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