Lin T.Y., Yao Y.Y., Zadeh L.A. (Eds.) Data Mining, Rough Sets and Granular Computing

Springer-Verlag, Berlin, Heidelberg, 2002. — 538 p. — (Studies in Fuzziness and Soft Computing) — ISBN: 3790825085During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is particularly 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 drawing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining.Granular Computing - A New Paradigm
Granular Computing in Data Mining
Data Mining
Granular Computing
Rough Sets and Granular Computing