Clusters, Orders, and Trees: Methods and Applications

Aleskerov, Fuad|Goldengorin, Boris|Pardalos, Panos M.

ISBN 10: 1493947990 / ISBN 13: 9781493947997

Editore: Springer New York, 2016

Contains new models and algorithms for knowledge discoveries Features new tools for developing practical algorithms for solving problems in data analysisOpens a new direction in addressing difficult questions in data analysis for either wel. Codice articolo 447956029

Riassunto:

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.

Dalla quarta di copertina:

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.

Dati bibliografici

Titolo: Clusters, Orders, and Trees: Methods and ...
Casa editrice: Springer New York
Data di pubblicazione: 2016
Legatura: Brossura
Condizione: New