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Data mining, rough sets and granular computing. (English) Zbl 0983.00027

Studies in Fuzziness and Soft Computing. 95. Heidelberg: Physica-Verlag. x, 536 p. (2002).

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The articles of this volume will be reviewed individually.
Indexed articles:
Zadeh, Lotfi A., Some reflections on information granulation and its centrality in granular computing, computing with words, the computational theory of perceptions and precisiated natural language, 3-20 [Zbl 1027.68703]
Lin, T. Y.; Louie, Eric, Data mining using granular computing: Fast algorithms for finding association rules, 23-45 [Zbl 1017.68051]
Shanahan, James G., Knowledge discovery with words using Cartesian granule features: An analysis for classification problems, 46-90 [Zbl 1017.68124]
Tsumoto, Shusaku, Validation of concept representation with rule induction and linguistic variables, 91-101 [Zbl 1017.68102]
Yao, Y. Y.; Zhong, Ning, Granular computing using information tables, 102-124 [Zbl 1017.68053]
Yoon, Jong P.; Kerschberg, Larry, A query-driven interesting rule discovery using associations and spanning operations, 125-141 [Zbl 1017.68046]
Han, Jianchao; Cercone, Nick; Hu, Xiaohua, An interactive visualization system for mining association rules, 145-165 [Zbl 1001.68943]
Lee, Wenke; Stolfo, Salvatore J.; Mok, Kui W., Algorithms for mining system audit data, 166-189 [Zbl 1002.68742]
Liu, Bing; Ma, Yiming; Wong, Ching Kian, Scoring and ranking the data using association rules, 190-215 [Zbl 1017.68047]
Padmanabhan, Balaji; Tuzhilin, Alexander, Finding unexpected patterns in data, 216-231 [Zbl 1017.68048]
Tsumoto, Shusaku, Discovery of approximate knowledge in medical databases based on rough set model, 232-246 [Zbl 1017.68049]
Alsina, Claudi; Jacas, Joan; Trillas, Enric, Observability and the case of probability, 249-264 [Zbl 1017.68125]
Bělohávek, Radim, Granulation and granularity via conceptual structures: A perspective from the point of view of fuzzy concept lattices, 265-289 [Zbl 1017.68126]
Dubois, Didier; Hadj-Ali, Allel; Prade, Henri, Granular computing with closeness and negligibility relations, 290-307 [Zbl 1017.68127]
Fattah, A.; Pouchkarev, V.; Belenki, A.; Ryjov, A.; Zadeh, L. A., Application of granularity computing to confirm compliance with non-proliferation treaty, 308-338 [Zbl 1021.68530]
Klir, George J., Basic issues of computing with granular probabilities, 339-349 [Zbl 1017.68128]
Mayor, Gaspar; de Soto, Adolfo R.; Suñer, Jaume; Trillas, Enric, Multi-dimensional aggregation of fuzzy numbers through the extension principle, 350-363 [Zbl 0996.03039]
Ryjov, A., On optimal fuzzy information granulation, 364-397 [Zbl 1027.68702]
Yager, Ronald R., Ordinal decision making with a notion of acceptable: Denoted ordinal scales, 398-413 [Zbl 1017.68113]
Yu, Fusheng; Huang, Chongfu, A framework for building intelligent information-processing systems based on granular factors space, 414-444 [Zbl 1017.68114]
Hu, Xiaohua; Cercone, Nick; Han, Jianchao; Ziarko, Wojciech, GRS: A genealized rough sets model, 447-460 [Zbl 1017.68115]
Siromoney, Arul; Inoue, Katsushi, The generic rough set inductive logic programming (gRS-ILP) model, 449-517 [Zbl 1017.68034]
Malik, D. S.; Mordeson, John N., Structure of upper and lower approximation spaces of infinite sets, 461-473 [Zbl 1017.68116]
Miyamoto, Sadaaki, Indexed rough approximations, a polymodal system, and generalized possibility measures, 474-486 [Zbl 1017.68117]
Pawlak, Zdzisław, Granularity, multi-valued logic, Bayes’ theorem and rough sets, 487-498 [Zbl 1017.68118]
Tanaka, Hideo; Guo, Peijun, Possibilistic data analysis and its similarity to rough sets, 518-536 [Zbl 1017.68119]

MSC:

00B15 Collections of articles of miscellaneous specific interest
68-06 Proceedings, conferences, collections, etc. pertaining to computer science
68P15 Database theory