LEADER 03269nam 2200553Ia 450 001 9910437770203321 005 20200520144314.0 010 $a3-642-11737-6 024 7 $a10.1007/978-3-642-11737-4 035 $a(CKB)3400000000102476 035 $a(SSID)ssj0000879399 035 $a(PQKBManifestationID)11545995 035 $a(PQKBTitleCode)TC0000879399 035 $a(PQKBWorkID)10850970 035 $a(PQKB)10545458 035 $a(DE-He213)978-3-642-11737-4 035 $a(MiAaPQ)EBC3070831 035 $a(PPN)168308169 035 $a(EXLCZ)993400000000102476 100 $a20130109d2013 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aObservational calculi and association rules /$fJan Rauch 205 $a1st ed. 2013. 210 $aHeidelberg ;$aNew York $cSpringer-Verlag$dc2013 215 $a1 online resource (XXII, 298 p.) 225 1 $aStudies in computational intelligence,$x1860-949X ;$v469 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-11736-8 320 $aIncludes bibliographical references and index. 327 $aPart I Logical Calculi of Association Rules -- Part II Classes of Association Rules -- Part III Results on Classes of Association Rules -- Part IV Applications and Research Challenges. 330 $aObservational calculi were introduced in the 1960?s as a tool of logic of discovery. Formulas of observational calculi correspond to assertions on analysed data. Truthfulness of suitable assertions can lead to acceptance of new scientific hypotheses. The general goal was to automate the process of discovery of scientific knowledge using mathematical logic and statistics. The GUHA method for producing true formulas of observational calculi relevant to the given problem of scientific discovery was developed. Theoretically interesting and practically important results on observational calculi were achieved. Special attention was paid to formulas - couples of Boolean attributes derived from columns of the analysed data matrix. Association rules introduced in the 1990?s can be seen as a special case of such formulas. New results on logical calculi and association rules were achieved. They can be seen as a logic of association rules. This can contribute to solving contemporary challenging problems of data mining research and practice. The book covers thoroughly the logic of association rules and puts it into the context of current research in data mining. Examples of applications of theoretical results to real problems are presented. New open problems and challenges are listed. Overall, the book is a valuable source of information for researchers as well as for teachers and students interested in data mining. 410 0$aStudies in computational intelligence ;$vv. 469. 606 $aAssociation rule mining 606 $aData mining 615 0$aAssociation rule mining. 615 0$aData mining. 676 $a006.3/12 700 $aRauch$b Jan$0117773 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437770203321 996 $aObservational Calculi and Association Rules$92537402 997 $aUNINA