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Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam: Volume 2 de Andrzej Skowron

Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam: Volume 2: Intelligent Systems Reference Library, cartea 43

Editat de Andrzej Skowron, Zbigniew Suraj
en Limba Engleză Paperback – 21 sep 2014
This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being.
This book prepared in two volumes contains more than 50 chapters. This demonstrates that the scientific approaches  discovered by of Professor Zdzis{\l}aw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by many researchers in many places throughout the world. The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches.
We are proud to offer the readers this book.

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Specificații

ISBN-13: 9783642436482
ISBN-10: 364243648X
Pagini: 656
Ilustrații: LII, 604 p.
Dimensiuni: 155 x 235 x 34 mm
Greutate: 0.91 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

From the Contents: From Logic to Computer Science – A Personal Experience.- Knowledge Algebras and Their Discrete Duality.- Comparison of Greedy Algorithms for Decision Tree Optimization.- A Review of the Knowledge Granulation Methods: Discrete vs Continuous Algorithms.- Game-theoretic Rough Sets for Feature Selection.- A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance.- Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach.- Incorporating Rough Data in Database Design for Imprecise Information Representation.

Recenzii

From the reviews:
“This volume is the second of two volumes of papers published in his memory after his death in 2006. It contains 30 papers covering theory and the application of rough sets contributed by colleagues, former students, and collaborators around the world. … Each of the chapters has its own list of references. The style of writing is at a very sophisticated level. … this volume is written for specialists in the theory and applications of rough sets.” (Anthony J. Duben, ACM Computing Reviews, January, 2013)

Textul de pe ultima copertă

This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, researcher, teacher and a human being.
This book prepared in two volumes contains more than 50 chapters. This demonstrates that the scientific approaches  discovered by of Professor Zdzis{\l}aw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by many researchers in many places throughout the world. The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches.
We are proud to offer the readers this book.

Caracteristici

Dedicated to the memory of Professor Zdzislaw Pawlak, the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence This book prepared in two volumes contains more than 50 chapters Demonstrates that the scientific approaches discovered by Professor Zdzislaw Pawlak, especially the rough set approach as a tool for dealing with imperfect knowledge, are vivid and intensively explored by leading researchers worldwide