Aleskerov, Fuad, Goldengorin, Boris, Pardalos, Panos M. (Eds.)
2014, XI, 404 p. 80 illus., 28 illus. in color.
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Contains new models and algorithms for knowledge discoveries
Features new tools for developing practical algorithms for solving problems in data analysis
Opens a new direction in addressing difficult questions in data analysis for either well-known tools (like K-means) or recently developed advanced tools
The volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkin’s ground breaking contributions in various fields of decision making and data analysis have marked the fourth quarter of the 20th century and beyond. Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hidden structures—first of all, clusters, orderings, and hierarchies—in multivariate and/or network data.
This volume contains a collection of papers reflecting recent developments rooted in Mirkin's fundamental contribution to the state-of-the-art in group choice, ordering, clustering, data mining, and knowledge discovery. Researchers, students, and software engineers will benefit from new knowledge discovery techniques and application directions.
Content Level »Research
Keywords »artificial intelligence - data analysis - mathematical programming - operations research - theory of computing - theory of data