This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14-16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an...
This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Co...
Thisvolumecontainsthepapersselectedforpresentationatthe7thInternational Conference on Rough Sets and Current Trends in Computing (RSCTC 2010) held at the University of Warsaw, Poland, during June 28 30, 2010. This was the seventh edition of the event that has established itself as the main forum for exchange of ideas between researchersin various areasrelated to rough sets. In 2010, the conference went back to its origins both in terms of its location (the ?rst RSCTC conference was held in Warsaw, Poland in 1998) and in terms of topic coverage.The dates also markthe third anniversaryofRSEISP...
Thisvolumecontainsthepapersselectedforpresentationatthe7thInternational Conference on Rough Sets and Current Trends in Computing (RSCTC 2010) held at ...
This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known...
This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelli...
This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known...
This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelli...
