Clusters, Orders, and Trees: Methods and Applications

Fuad Aleskerov

ISBN 10: 1493907417 / ISBN 13: 9781493907410

Published by Springer New York Jun 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 416 pp. Englisch.

Seller Inventory # 9781493907410

Bibliographic Details

• Title: Clusters, Orders, and Trees: Methods and Applications
• Publisher: Springer New York Jun 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 1493907417
• ISBN 13: 9781493907410
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 28D millimeters 241 millimeters width by 160 millimeters height by 28 millimeters depth
• Weight: 787 grams

About this title

Synopsis

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.