Description
Book SynopsisData mining is a technique used to discover and present data in useful form to support decision making. This work responds to the need for a multi-disciplinary research resource, offering various perspectives on the social construction of reality and how different people make sense of the same information at different times. For example, in the section addressing information retrieval, subject relevance - chosen based upon the user''s construction or pertinence - is contrasted with objective relevance, a system-based relationship that is measured by aspects of the subject matter and its universe. Format, use, currency, relevance, reliability, and validity are all basic elements of information quality that are explored in the research presented. Other strands include information architecture, Text Retrieval Conferences (TREC), machine learning, biometric technologies, computer interfaces, the interoperability of networked retrieval systems, and other research topics related to informat
Trade Review...useful to readers with some experience in the field, or doctoral students and others who want to get an overview of one or several aspects of information retrieval and data mining....helpful to anyone wishing to publish or retrieve articles related [to] the subject scope of the bibliography. * Information Research *
The 778 books, papers, and articles in this bibliography report on progress being made in information retrieval and data mining, particularly the efficiency of query returns. A third section lists literature on how searchers approach retrieval and their behavior as they proceed with analysis of search results. A one or two sentence summary accompanies each entry. * Reference and Research Book News *
Table of ContentsChapter 1 Preface Chapter 2 Introduction Part 3 Information Retrieval Part 4 Data Mining Part 5 Human Factors Chapter 6 Major Serial Publications Chapter 7 Author Index Chapter 8 Editor Index Chapter 9 About the Authors
