Rough Set and Knowledge Technology

Rough Set and Knowledge Technology
Author :
Publisher : Springer Science & Business Media
Total Pages : 797
Release :
ISBN-10 : 9783642162473
ISBN-13 : 3642162479
Rating : 4/5 (73 Downloads)

Synopsis Rough Set and Knowledge Technology by : Jian Yu

This book constitutes the refereed proceedings of the 5th International Conference on Rough Set and Knowledge Technology, RSKT 2010, held in Beijing, China, in October 2010. The 98 revised full papers papers presented were carefully reviewed and selected from 175 initial submissions. The papers are organized in topical sections on rough sets and computing theory, fuzzy sets, knowledge technology, intelligent information processing, health informatics and biometrics authentication, neural networks, complex networks, granular computing, metaheuristic, cloud model and its application, data mining in cloud computing, decision-theoretic rough set model, and quotient space theory research and application.

Rough Set and Knowledge Technology

Rough Set and Knowledge Technology
Author :
Publisher : Springer Science & Business Media
Total Pages : 788
Release :
ISBN-10 : 9783642244247
ISBN-13 : 3642244246
Rating : 4/5 (47 Downloads)

Synopsis Rough Set and Knowledge Technology by : JingTao Yao

This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011. The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer Science & Business Media
Total Pages : 725
Release :
ISBN-10 : 9783642029615
ISBN-13 : 3642029612
Rating : 4/5 (15 Downloads)

Synopsis Rough Sets and Knowledge Technology by : Peng Wen

This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer
Total Pages : 782
Release :
ISBN-10 : 9783540797210
ISBN-13 : 3540797211
Rating : 4/5 (10 Downloads)

Synopsis Rough Sets and Knowledge Technology by : Guoyin Wang

This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Knowledge Technology (RSKT 2008) held in Chengdu, P. R. China, May 16–19, 2008. The RSKT conferences were initiated in 2006 in Chongqing, P. R. China. RSKT 2007 was held in Toronto, Canada, together with RSFDGrC 2007, as JRS 2007. The RSKT conferences aim to present state-of-the-art scienti?c - sults, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. They place emphasis on exploring synergies between rough sets and knowledge discovery, knowledge management, data mining, granular and soft computing as well as emerging application areas such as bioinformatics, cognitive informatics, and Web intel- gence, both at the level of theoretical foundations and real-life applications. RSKT 2008 focused on ?ve major research ?elds: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. This was achieved by including in the conference program sessions on rough and soft computing, rough mereology with app- cations, dominance-based rough set approach, fuzzy-rough hybridization, gr- ular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinform- ics and cognitive informatics, Web intelligence, pattern recognition, and real-life applications of knowledge technology. A very strict quality control policy was adopted in the paper review process of RSKT 2008. Firstly, the PC Chairs - viewed all submissions.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer
Total Pages : 830
Release :
ISBN-10 : 9783540362999
ISBN-13 : 3540362991
Rating : 4/5 (99 Downloads)

Synopsis Rough Sets and Knowledge Technology by : James F. Peters

This book constitutes the refereed proceedings of the First International Conference on Rough Sets and Knowledge Technology, RSKT 2006, held in Chongqing, China in July 2006. The volume presents 43 revised full papers and 58 revised short papers, together with 15 commemorative and invited papers. Topics include rough computing, evolutionary computing, fuzzy sets, granular computing, neural computing, machine learning and KDD, logics and reasoning, multiagent systems and Web intelligence, and more.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer
Total Pages : 877
Release :
ISBN-10 : 9783319117409
ISBN-13 : 3319117408
Rating : 4/5 (09 Downloads)

Synopsis Rough Sets and Knowledge Technology by : Duoqian Miao

This book constitutes the thoroughly refereed conference proceedings of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer
Total Pages : 589
Release :
ISBN-10 : 9783540724582
ISBN-13 : 3540724583
Rating : 4/5 (82 Downloads)

Synopsis Rough Sets and Knowledge Technology by : JingTao Yao

This book constitutes the refereed proceedings of the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, held in Toronto, Canada in May 2007 in conjunction with the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer
Total Pages : 543
Release :
ISBN-10 : 9783319257549
ISBN-13 : 3319257544
Rating : 4/5 (49 Downloads)

Synopsis Rough Sets and Knowledge Technology by : Davide Ciucci

This book constitutes the thoroughly refereed conference proceedings of the 10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015, held in Tianjin, China, in November 2015, as part of the International Joint Conference on Rough Sets, IJCRS 2015, together with the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDgrC 2015. The 66 papers presented at IJCRS 2015 were carefully reviewed and selected from 97 submissions. The 38 papers included in this volume are organized in the following topical sections: rough sets: the experts speak; reducts and rules; three-way decisions; logic and algebra; clustering; rough sets and graphs; and modeling and learning. In addition the volume contains 6 contributions by new fellows of the International Rough Set Society, an invited talk and a tutorial.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer
Total Pages : 541
Release :
ISBN-10 : 9783642319006
ISBN-13 : 3642319009
Rating : 4/5 (06 Downloads)

Synopsis Rough Sets and Knowledge Technology by : Tianrui Li

This book constitutes the refereed proceedings of the 7th International Conference on Rough Sets and Knowledge Technology, RSKT 2012, held in Chengdu, China during August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 63 revised papers (including 42 regular and 21 short papers) were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its generalizations, rough sets in data and knowledge processing, knowledge technology, advances in granular computing (AGC 2012 workshop), decision-theoretic rough set model and applications (special session), intelligent decision making and granular computing (special session), rough set foundations (special session).

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology
Author :
Publisher : Springer
Total Pages : 428
Release :
ISBN-10 : 9783642412998
ISBN-13 : 3642412998
Rating : 4/5 (98 Downloads)

Synopsis Rough Sets and Knowledge Technology by : Pawan Lingras

This book constitutes the thoroughly refereed conference proceedings of the 8th International Conference on Rough Sets and Knowledge Technology, RSKT 2013, held in Halifax, Canada in October 2013 as one of the co-located conferences of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as history and future of rough sets; foundations and probabilistic rough sets; rules, reducts, ensembles; new trends in computing; three-way decision rough sets; and learning, predicting, modeling.