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Supplement 20: Artificial Intelligence and Machine Learning Approaches to Fraud Investigations to Visual Search in Modern Human-Computer Interfaces
Distance education is arguably one of the major developments in education during the 20th Century. This title explores the array of distance education theories and practices as they have been shaped by the late-20th Century and then positions these in terms of the contemporary circumstances of the 21st Century.
Explores what we know about how we want, see, browse, read, use and remember online information. Readers take a non-technical and entertaining journey into previously obscure depths of cognitive psychology and information science.
This comprehensive reference to all areas of expert systems and applications, plus advanced related topics, lets you spend your time reading expert systems literature rather than searching for it. It gives you a source of historical perspectives and outlooks on the future of the field. Whether you are a manager, a developer or an end user or researcher, Expert Systems and Related Topics: Selected Bibliography & Guide to Information Sources puts all the sources of expert systems literature at your fingertips.
Academic libraries in Greece are just now beginning the technological revolution that has swept the highly industrial west for the past couple decades. Greek, British, and American contributors with library or education experience in Greece discuss such matters as automation, librarian education, and international cooperation, mostly at specific universities. Annotation copyright by Book News, Inc., Portland, OR
This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.
Women Online focuses on the problems of investigating interdisciplinary topics in women's studies, working with controlled vocabularies and inconsistent indexing, and locating feminist scholarship. The authoritative contributors to the book not only analyze these problems in general terms but also suggest practical strategies for making online research more effective and productive. The sixteen chapters in this much-needed book are organized into three broad categories covering disciplines, such as humanities and social sciences; format of the material covered, such as non-bibliographic and cited reference databases; and specific topics, such as lesbian studies and women of color. Chapter authors employ a variety of useful methods to analyze issues of coverage and content. They compare the results of controlled vocabulary and free-text or full-text searching and make use of search examples, cited reference and multi-file searching, and bibliometric techniques, including analysis of recall, precision, overlap, relevancy, uniqueness, and trends in file growth. The Database Matrix provides an alphabetical listing of files discussed in the book and serves as a directory for online research in women's studies. Women Online will be useful to librarians, scholars, and students who search databases, as well as to producers who design and market them.