04044nam 22006855 450 991029967950332120200702062243.03-319-13212-110.1007/978-3-319-13212-9(CKB)3710000000324648(EBL)1968446(OCoLC)908089639(SSID)ssj0001408088(PQKBManifestationID)11766013(PQKBTitleCode)TC0001408088(PQKBWorkID)11346458(PQKB)11559024(DE-He213)978-3-319-13212-9(MiAaPQ)EBC1968446(PPN)183154010(EXLCZ)99371000000032464820141227d2015 u| 0engur|n|---|||||txtccrAdvances in Knowledge Discovery in Databases /by Animesh Adhikari, Jhimli Adhikari1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (377 p.)Intelligent Systems Reference Library,1868-4394 ;79Description based upon print version of record.3-319-13211-3 Includes bibliographical references and index.Introduction -- Synthesizing conditional patterns in a database -- Synthesizing arbitrary Boolean expressions induced by frequent itemsets -- Measuring association among items in a database -- Mining association rules induced by item and quantity purchased -- Mining patterns different related databases -- Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources -- Clustering items in time-stamped databases -- Synthesizing some extreme association rules from multiple databases -- Clustering local frequency items in multiple data sources -- Mining patterns of select items in different data sources -- Mining calendar-based periodic patterns in time-stamped data -- Measuring influence of an item in time-stamped databases -- Clustering multiple databases induced by local patterns -- Enhancing quality of patterns in multiple related databases -- Concluding remarks.This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.  .Intelligent Systems Reference Library,1868-4394 ;79Computational intelligenceData miningArtificial intelligenceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational intelligence.Data mining.Artificial intelligence.Computational Intelligence.Data Mining and Knowledge Discovery.Artificial Intelligence.006.312Adhikari Animeshauthttp://id.loc.gov/vocabulary/relators/aut720955Adhikari Jhimliauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299679503321Advances in Knowledge Discovery in Databases2512384UNINA