Rough Sets and Current Trends in Computing : 7th International Conference

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 2007-a conference dedicated to the memory of Zdzis law Pawlak. RSCTC2010wastoprovideresearchersandpractitionersinterestedineme- inginformationtechnologiesaforumtoshareinnovativetheories, methodologies, and applications in rough sets and its extensions. In keeping with the spirit of past rough set-based conferences, RSCTC 2010 aimed to explore synergies with other closely related areas such as computational intelligence, knowledgedisc- ery from databases and data mining, non-conventional models of computation, andWebmining.Majortopicscoveredintheseproceedingsinclude: approximate anduncertainreasoning, bioinformatics, dataandtextmining, dominance-based roughsetapproaches, evolutionarycomputing, fuzzysettheoryandapplications, logical and mathematical foundations of rough sets, perceptual systems as well as applications of rough sets and its extensions in areas such as medicine, Web intelligence and image processing. The papers included in the special and - dustrial sessions cover learning methods and mining of complex data, soft c- puting applications to multimedia and telemedicine, knowledge representation and exchange in multi-agent systems and emerging intelligent technologies in the telecommunications industry. There were 148 valid (out of 163 in total) submissions to RSCTC 2010. Every paper was examined by at least two reviewers. Out of the papers initially selected, somewereapprovedsubjecttorevisionandthenadditionallyevaluated.