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001440687 001__ 1440687
001440687 003__ OCoLC
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001440687 0247_ $$a10.1007/978-981-16-3964-7$$2doi
001440687 035__ $$aSP(OCoLC)1281769420
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001440687 049__ $$aISEA
001440687 050_4 $$aQA76.9.D343$$bP47 2021
001440687 08204 $$a006.3/12$$223
001440687 24500 $$aPeriodic pattern mining :$$btheory, algorithms, and applications /$$cR. Uday Kiran, Philippe Fournier-Viger, Jose M. Luna, Jerry Chun-Wei Lin, Anirban Mondal, editors.
001440687 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001440687 264_4 $$c©2021
001440687 300__ $$a1 online resource :$$billustrations (some color)
001440687 336__ $$atext$$btxt$$2rdacontent
001440687 337__ $$acomputer$$bc$$2rdamedia
001440687 338__ $$aonline resource$$bcr$$2rdacarrier
001440687 347__ $$atext file
001440687 347__ $$bPDF
001440687 5050_ $$aChapter 1: Introduction to Data Mining -- Chapter 2: Discovering Frequent Patterns in Very Large Transactional Database -- Chapter 3: Discovering Periodic Frequent Patterns in Temporal Databases -- Chapter 4: Discovering Fuzzy Periodic Frequent Patterns in Quantitative Temporal Databases -- Chapter 5: Discovering Partial Periodic Patterns in Temporal Databases -- Chapter 6: Finding Periodic Patterns in Multiple Sequences -- Chapter 7: Discovering Self Reliant Patterns -- Chapter 8: Finding Periodic High Utility Patterns in Sequence -- Chapter 9: Mining Periodic High Utility Sequential Patterns with Negative Unit Profits -- Chapter 10: Hiding Periodic High Utility Sequential Patterns -- Chapter 11: NetHAPP -- Chapter 12: Privacy Preservation of Periodic Frequent Patterns using Sensitive Inverse Frequency.
001440687 506__ $$aAccess limited to authorized users.
001440687 520__ $$aThis book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed. The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques. The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.
001440687 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 16, 2021).
001440687 650_0 $$aSequential pattern mining.
001440687 650_6 $$aFouille de motifs séquentiels.
001440687 655_0 $$aElectronic books.
001440687 7001_ $$aKiran, R. Uday,$$eeditor.
001440687 7001_ $$aFournier-Viger, Philippe,$$eeditor.
001440687 7001_ $$aLuna, Jose M.,$$eeditor.
001440687 7001_ $$aLin, Jerry Chun-Wei,$$eeditor.
001440687 7001_ $$aMondal, Anirban,$$eeditor.
001440687 77608 $$iPrint version:$$tPeriodic pattern mining.$$dSingapore : Springer, [2021]$$z9811639639$$z9789811639630$$w(OCoLC)1255174136
001440687 852__ $$bebk
001440687 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3964-7$$zOnline Access$$91397441.1
001440687 909CO $$ooai:library.usi.edu:1440687$$pGLOBAL_SET
001440687 980__ $$aBIB
001440687 980__ $$aEBOOK
001440687 982__ $$aEbook
001440687 983__ $$aOnline
001440687 994__ $$a92$$bISE