Contemporary Perspectives in Data Mining Volume 4
Kenneth D Lawrence
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Contemporary Perspectives in Data Mining, Volume 3
Kenneth D. Lawrence
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Contemporary Perspectives in Data Mining
Kenneth D. Lawrence
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Machine Learning and Knowledge Discovery for Engineering Systems Health Management
Ashok N. Srivastava
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Contrast Data Mining : Concepts, Algorithms, and Applications
Guozhu (Wright State University, Dayton, Ohio, USA) Dong
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Support Vector Machines : Optimization Based Theory, Algorithms, and Extensions
Naiyang (China Agricultural University, Beijing, China) Deng
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Practical Graph Mining with R
Nagiza F. Samatova
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Computational Intelligent Data Analysis for Sustainable Development
Ting Yu
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Event Mining : Algorithms and Applications
Tao (Florida International University, Miami, USA) Li
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Data Classification : Algorithms and Applications
Charu C. Aggarwal
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Data Science and Analytics with Python
Jesus Rogel-Salazar
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Feature Engineering for Machine Learning and Data Analytics
Guozhu Dong
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Feature Engineering for Machine Learning and Data Analytics
Guozhu Dong
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Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data
Anuj Karpatne
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Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data
Anuj Karpatne
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Machine Learning and Knowledge Discovery for Engineering Systems Health Management
Ashok N. Srivastava
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Introduction to Computational Health Informatics
Arvind Kumar (Kent State University, Department of Computer Sc Bansal
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Introduction to Computational Health Informatics
Arvind Kumar (Kent State University, Department of Computer Sc Bansal
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Exploratory Data Analysis Using R
Ronald K. Pearson
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Exploratory Data Analysis Using R
Ronald K. Pearson
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Exploratory Causal Analysis with Time Series Data
James M. McCracken
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Exploiting the Power of Group Differences : Using Patterns to Solve Data Analysis Problems
Guozhu Dong
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