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.
Ngôn ngữ Anh ● định dạng PDF ● ISBN 9783790817911 ● Biên tập viên Tsau Young Lin & Yiyu Y. Yao ● Nhà xuất bản Physica-Verlag HD ● Được phát hành 2013 ● Có thể tải xuống 3 lần ● Tiền tệ EUR ● TÔI 6363304 ● Sao chép bảo vệ Adobe DRM
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