Bøker i Chapman & Hall/CRC Data Mining and Knowledge Discovery Series-serien

Includes material on geographic knowledge discovery, geographic data warehouse research, map cubes, spatial dependency, spatial clustering methods, clustering techniques for trajectory data, INGENS 2.0 and geovisualization techniques. This title provides chapters on knowledge discovery from spatiotemporal and mobile objects databases.

Defines multimedia data mining, its theory and its applications. This book discusses the theoretical foundations of multimedia data mining, presenting commonly used feature representation, knowledge representation and soft computing techniques. It provides application examples that showcase the potential of multimedia data mining technologies.

Identifying some of the most influential algorithms that are widely used in the data mining community, this book provides a description of each algorithm, discusses the impact of the algorithms, and reviews research on the algorithms.

Presents comprehensive data mining concepts, theories and applications in biological and medical research. This book discusses challenge and opportunities in analyzing and mining biological sequences and structures to gain insight into molecular functions. It describes the relationships between data mining and related areas of computing.

Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. This book covers the key concepts, representative approaches, and inventive applications of various aspects of feature selection.