This second edition textbook covers a coherently organized framework for text analytics, which in...

This textbook is the second edition of the linear algebra and optimization book that was publishe...

This textbook introduces linear algebra and optimization in the context of machine learning. Exam...

This textbook explores the different aspects of data mining from the fundamentals to the complex ...

This textbook introduces linear algebra and optimization in the context of machine learning. Exam...

This book covers both classical and modern models in deep learning. The primary focus is on the t...

This textbook explores the different aspects of data mining from the fundamentals to the complex ...

This book comprehensively covers the topic of recommender systems, which provide personalized rec...

This book provides comprehensive coverage of the field of outlier analysis from a computer scienc...

Text analytics is a field that lies on the interface of information retrieval,machine learning, a...

Social network analysis applications have experienced tremendous advances within the last few yea...

With the increasing advances in hardware technology for data collection, and advances in software...

Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers...

Advances in hardware technology have lead to an ability to collect data with the use of a variety...

This book discusses a variety of methods for outlier ensembles and organizes them by the specific...

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Eac...

Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers...

Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of d...

Social network analysis applications have experienced tremendous advances within the last few yea...

Text analytics is a field that lies on the interface of information retrieval,machine learning, a...

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It ...

Text mining applications have experienced tremendous advances because of web 2.0 and social netwo...

Advances in hardware technology have increased the capability to store and record personal data a...

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Eac...

This book provides comprehensive coverage of the field of outlier analysis from a computer scienc...

Advances in hardware technology have increased the capability to store and record personal data a...

Advances in hardware technology have lead to an ability to collect data with the use of a variety...

Text mining applications have experienced tremendous advances because of web 2.0 and social netwo...

This book comprehensively covers the topic of recommender systems, which provide personalized rec...

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It ...

This book discusses a variety of methods for outlier ensembles and organizes them by the specific...

Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of d...

This textbook covers the broader field of artificial intelligence.   The chapters for this textbo...

This second edition textbook covers a coherently organized framework for text analytics, which in...

Outlier (or anomaly) detection is a very broad field which has been studied in the context of a l...

This textbook covers the broader field of artificial intelligence.   The chapters for this textbo...

This book covers probability and statistics from the machine learning perspective. The chapters o...

At the intersection of computer science and healthcare, data analytics has emerged as a promising...

This book covers both classical and modern models in deep learning. The primary focus is on the t...

This book covers probability and statistics from the machine learning perspective. The chapters o...

In this book, top researchers from around the world cover the entire area of clustering, from bas...

Research on the problem of classification tends to be fragmented across such areas as pattern rec...

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data Analytics pr...

This book covers both classical and modern models in deep learning. The primary focus is on the t...