Editors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 92)
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Table of contents (23 chapters)
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Front Matter
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Classification and Cluster
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Front Matter
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Order and Tree
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Front Matter
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About this book
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.
Editors and Affiliations
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Department of Higher Mathematics, National Research University Higher School of Economics, Moscow, Russia
Fuad Aleskerov
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Department of Operations, University of Groningen, The Netherlands
Boris Goldengorin
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Department of Industrial and Systems Eng, University of Florida, Gainesville, USA
Panos M. Pardalos
Bibliographic Information
Book Title: Clusters, Orders, and Trees: Methods and Applications
Book Subtitle: In Honor of Boris Mirkin's 70th Birthday
Editors: Fuad Aleskerov, Boris Goldengorin, Panos M. Pardalos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4939-0742-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4939-0741-0Published: 12 June 2014
Softcover ISBN: 978-1-4939-4799-7Published: 23 August 2016
eBook ISBN: 978-1-4939-0742-7Published: 11 June 2014
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XI, 404
Number of Illustrations: 52 b/w illustrations, 28 illustrations in colour
Topics: Mathematical Applications in Computer Science, Discrete Mathematics in Computer Science, Artificial Intelligence