03409nam 22005895 450 991073948050332120200701070041.03-030-04921-310.1007/978-3-030-04921-8(CKB)4100000007522497(MiAaPQ)EBC5640101(DE-He213)978-3-030-04921-8(PPN)243767536(EXLCZ)99410000000752249720190118d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHigh-Utility Pattern Mining Theory, Algorithms and Applications /edited by Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, Vincent S. Tseng1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (343 pages)Studies in Big Data,2197-6503 ;513-030-04920-5 Introduction -- Problem Definition -- Algorithms -- Extensions of the Problem -- Research Opportunities -- Open-Source Implementations -- Conclusion.This 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. .Studies in Big Data,2197-6503 ;51Computational intelligenceArtificial intelligenceData miningComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Computational intelligence.Artificial intelligence.Data mining.Computational Intelligence.Artificial Intelligence.Data Mining and Knowledge Discovery.006.312006.312Fournier-Viger Philippeedthttp://id.loc.gov/vocabulary/relators/edtLin Jerry Chun-Weiedthttp://id.loc.gov/vocabulary/relators/edtNkambou Rogeredthttp://id.loc.gov/vocabulary/relators/edtVo Bayedthttp://id.loc.gov/vocabulary/relators/edtTseng Vincent Sedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910739480503321High-Utility Pattern Mining3553253UNINA