2010, ISBN: 9783790825084

[ED: Softcover], [PU: Physica / Physica-Verlag / Physica-Verlag HD], During the past few years, data mining has grown rapidly in visibility and importance within information processing an… Plus…

[ED: Softcover], [PU: Physica / Physica-Verlag / Physica-Verlag HD], During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing. 2010. ix, 537 S. IX, 537 p. 235 mm Versandfertig in 6-10 Tagen, DE, Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

ISBN: 9783790825084

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par­ ticularly true in the realm of… Plus…

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par­ ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw­ ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing. Books > Computers > Artificial Intelligence List_Books<

ISBN: 9783790825084

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par­ ticularly true in the realm of… Plus…

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par­ ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw­ ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing. Books List_Books<

ISBN: 9783790825084

Computer Science; Artificial Intelligence (incl. Robotics); Database Management Extension, Scoring, approximation, calculus, classification, data analysis, data mining, fuzzy sets, knowle… Plus…

Computer Science; Artificial Intelligence (incl. Robotics); Database Management Extension, Scoring, approximation, calculus, classification, data analysis, data mining, fuzzy sets, knowledge discovery, logic, logic programming, natural language, perception, programming, visualization Books, Springer Nature<

2010, ISBN: 9783790825084

Buch, Softcover, Softcover reprint of hardcover 1st ed. 2002, [PU: Physica], Physica, 2010