TY - BOOK ID - 8061734 TI - Domain driven data mining AU - Cao, Longbing AU - Yu, Philip S. AU - Zhang, Chengqi AU - Zhao, Yanchang PY - 2010 SN - 1489985077 1441957367 9786612835841 1441957375 128283584X PB - New York : Springer Science, DB - UniCat KW - Artificial intelligence -- Congresses. KW - Computer graphics -- Congresses. KW - Data mining KW - Business KW - Commerce KW - Engineering & Applied Sciences KW - Marketing & Sales KW - Computer Science KW - Business & Economics KW - Data processing KW - Data mining. KW - Data processing. KW - Trade 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 - Computer science. KW - Information technology. KW - Business mathematics. KW - Information storage and retrieval. KW - Computer Science. KW - Data Mining and Knowledge Discovery. KW - Information Storage and Retrieval. KW - Business Mathematics. KW - IT in Business. KW - Information Systems Applications (incl. Internet). KW - Database searching KW - Arithmetic, Commercial KW - Business arithmetic KW - Business math KW - Commercial arithmetic KW - Finance KW - Mathematics KW - Electronic data processing KW - IT (Information technology) KW - Technology KW - Telematics KW - Information superhighway KW - Knowledge management KW - Informatics KW - Science KW - Economics KW - Transportation KW - Information storage and retrieva. 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 - Business—Data processing. KW - Application software. 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:8061734 AB - In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. About this book: Enhances the actionability and wider deployment of existing data-centered data mining through a combination of domain and business oriented factors, constraints and intelligence. Examines real-world challenges to and complexities of the current KDD methodologies and techniques. Details a paradigm shift from "data-centered pattern mining" to "domain driven actionable knowledge discovery" for next-generation KDD research and applications. Bridges the gap between business expectations and research output through detailed exploration of the findings, thoughts and lessons learned in conducting several large-scale, real-world data mining business applications Includes techniques, methodologies and case studies in real-life enterprise data mining Addresses new areas such as blog mining Domain Driven Data Mining is suitable for researchers, practitioners and university students in the areas of data mining and knowledge discovery, knowledge engineering, human-computer interaction, artificial intelligence, intelligent information processing, decision support systems, knowledge management, and KDD project management. ER -