1.

Record Nr.

UNINA9910437773203321

Titolo

Rough sets and intelligent systems - Professor Zdzislaw Pawlak in memoriam . Volume 2 / / Andrzej Skowron, Zbigniew Suraj (eds.)

Pubbl/distr/stampa

Berlin ; ; New York, : Springer, c2013

ISBN

9786613942654

9781283630207

1283630206

9783642303418

3642303412

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (639 p.)

Collana

Intelligent systems reference library, , 1868-4394 ; ; 43

Altri autori (Persone)

PawlakZdzisaw

SkowronAndrzej

SurajZbigniew

Disciplina

511.3/22

Soggetti

Rough sets

Artificial intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.