LEADER 03409nam 22005895 450 001 9910739480503321 005 20200701070041.0 010 $a3-030-04921-3 024 7 $a10.1007/978-3-030-04921-8 035 $a(CKB)4100000007522497 035 $a(MiAaPQ)EBC5640101 035 $a(DE-He213)978-3-030-04921-8 035 $a(PPN)243767536 035 $a(EXLCZ)994100000007522497 100 $a20190118d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHigh-Utility Pattern Mining $eTheory, Algorithms and Applications /$fedited by Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, Vincent S. Tseng 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (343 pages) 225 1 $aStudies in Big Data,$x2197-6503 ;$v51 311 $a3-030-04920-5 327 $a Introduction -- Problem De?nition -- Algorithms -- Extensions of the Problem -- Research Opportunities -- Open-Source Implementations -- Conclusion. 330 $aThis book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns. . 410 0$aStudies in Big Data,$x2197-6503 ;$v51 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aData mining 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aData mining. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 676 $a006.312 676 $a006.312 702 $aFournier-Viger$b Philippe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLin$b Jerry Chun-Wei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNkambou$b Roger$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVo$b Bay$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTseng$b Vincent S$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910739480503321 996 $aHigh-Utility Pattern Mining$93553253 997 $aUNINA