TY - BOOK ID - 214405 TI - Multimedia data mining and knowledge discovery AU - Petrushin, V. A. AU - Khan, Latifur. PY - 2007 SN - 1281087386 9786611087388 1846287995 1846284368 1447160134 PB - London : Springer, DB - UniCat KW - Data mining. KW - Multimedia systems. KW - Computer-based multimedia information systems KW - Multimedia computing KW - Multimedia information systems KW - Multimedia knowledge systems KW - Information storage and retrieval systems KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Computer science. KW - Database management. KW - Information storage and retrieva. KW - Computer Applications. KW - Database Management. KW - Multimedia Information Systems. KW - Information Storage and Retrieval. KW - Information Systems Applications (incl. Internet). KW - Data Storage Representation. KW - Information storage and retrieval. KW - Data base management KW - Data services (Database management) KW - Database management services KW - DBMS (Computer science) KW - Generalized data management systems KW - Services, Database management KW - Systems, Database management KW - Systems, Generalized database management KW - Electronic data processing KW - Informatics KW - Science KW - Information storage and retrieval systems. KW - Automatic data storage KW - Automatic information retrieval KW - Automation in documentation KW - Computer-based information systems KW - Data processing systems KW - Data storage and retrieval systems KW - Discovery systems, Information KW - Information discovery systems KW - Information processing systems KW - Information retrieval systems KW - Machine data storage and retrieval KW - Mechanized information storage and retrieval systems KW - Computer systems KW - Electronic information resources KW - Data libraries KW - Digital libraries KW - Information organization KW - Information retrieval KW - Application software. KW - Multimedia information systems. KW - Data structures (Computer science). KW - Information structures (Computer science) KW - Structures, Data (Computer science) KW - Structures, Information (Computer science) KW - File organization (Computer science) KW - Abstract data types (Computer science) KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software UR - https://www.unicat.be/uniCat?func=search&query=sysid:214405 AB - Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications. Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field. Topics and Features: • Features a comprehensive introduction to multimedia data mining and its relevance today • Presents a global perspective of the field and its various components • Provides broad, yet thorough and detailed coverage of the subject • Numerous chapters reference websites with supplementary materials and demonstrations • Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization • Offers an entire part devoted to applications and case studies Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval. ER -