000724980 000__ 03335cam\a2200469Ii\4500
000724980 001__ 724980
000724980 005__ 20230306140601.0
000724980 006__ m\\\\\o\\d\\\\\\\\
000724980 007__ cr\cn\nnnunnun
000724980 008__ 150105s2015\\\\sz\a\\\\ob\\\\001\0\eng\d
000724980 019__ $$a903963851$$a908089639
000724980 020__ $$a9783319132129$$qelectronic book
000724980 020__ $$a3319132121$$qelectronic book
000724980 020__ $$z9783319132112
000724980 0247_ $$a10.1007/978-3-319-13212-9$$2doi
000724980 035__ $$aSP(OCoLC)ocn899211294
000724980 035__ $$aSP(OCoLC)899211294$$z(OCoLC)903963851$$z(OCoLC)908089639
000724980 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dCOO$$dCDX$$dOCLCF$$dN$T$$dIDEBK$$dE7B$$dYDXCP$$dEBLCP
000724980 049__ $$aISEA
000724980 050_4 $$aQA76.9.D343
000724980 08204 $$a006.3/12$$223
000724980 1001_ $$aAdhikari, Animesh,$$eauthor.
000724980 24510 $$aAdvances in knowledge discovery in databases$$h[electronic resource] /$$cAnimesh Adhikari, Jhimli Adhikari.
000724980 264_1 $$aCham :$$bSpringer,$$c2015.
000724980 300__ $$a1 online resource (xv, 370 pages) :$$billustrations.
000724980 336__ $$atext$$btxt$$2rdacontent
000724980 337__ $$acomputer$$bc$$2rdamedia
000724980 338__ $$aonline resource$$bcr$$2rdacarrier
000724980 4901_ $$aIntelligent Systems Reference Library,$$x1868-4394 ;$$vvolume 79
000724980 504__ $$aIncludes bibliographical references and index.
000724980 5050_ $$aIntroduction -- Synthesizing conditional patterns in a database -- Synthesizing arbitrary Boolean expressions induced by frequent itemsets -- Measuring association among items in a database -- Mining association rules induced by item and quantity purchased -- Mining patterns different related databases -- Mining icebergs in different time-stamped data sources.-Synthesizing exceptional patterns in different data Sources -- Clustering items in time-stamped databases -- Synthesizing some extreme association rules from multiple databases -- Clustering local frequency items in multiple data sources -- Mining patterns of select items in different data sources -- Mining calendar-based periodic patterns in time-stamped data -- Measuring influence of an item in time-stamped databases -- Clustering multiple databases induced by local patterns -- Enhancing quality of patterns in multiple related databases -- Concluding remarks.
000724980 506__ $$aAccess limited to authorized users.
000724980 520__ $$aThis book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
000724980 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 14, 2015).
000724980 650_0 $$aData mining.
000724980 7001_ $$aAdhikari, Jhimli,$$eauthor.
000724980 77608 $$iPrint version:$$z9783319132112
000724980 830_0 $$aIntelligent systems reference library ;$$vvolume 79.
000724980 852__ $$bebk
000724980 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13212-9$$zOnline Access$$91397441.1
000724980 909CO $$ooai:library.usi.edu:724980$$pGLOBAL_SET
000724980 980__ $$aEBOOK
000724980 980__ $$aBIB
000724980 982__ $$aEbook
000724980 983__ $$aOnline
000724980 994__ $$a92$$bISE