Overview :Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such are... Read More
Overview :This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive re... Read More
Overview :This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvement... Read More
Overview :Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards... Read More
Overview :This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The ... Read More
Overview :This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturin... Read More
Overview :This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to use... Read More
Overview :Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing con... Read More
Overview :This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: 1.... Read More
Overview :Text analytics is a field that lies on the interface of information retrieval, machine learning, and natural language processing, and this t... Read More
Overview :This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout ... Read More
Overview :This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from... Read More