LEADER 04101nam 22006855 450 001 9910484953003321 005 20230801071424.0 010 $a3-030-36617-0 024 7 $a10.1007/978-3-030-36617-9 035 $a(CKB)4900000000505036 035 $a(MiAaPQ)EBC6113195 035 $a(DE-He213)978-3-030-36617-9 035 $a(PPN)243769652 035 $a(EXLCZ)994900000000505036 100 $a20200114d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComplex Pattern Mining $eNew Challenges, Methods and Applications /$fedited by Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (x, 250 pages) $cillustrations 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v880 311 $a3-030-36616-2 320 $aIncludes bibliographical references and index. 327 $aE?cient Infrequent Pattern Mining using Negative Itemset Tree -- Hierarchical Adversarial Training for Multi-Domain -- Optimizing C-index via Gradient Boosting in Medical Survival Analysis -- Order-preserving Biclustering Based on FCA and Pattern Structures -- A text-based regression approach to predict bug-?x time -- A Named Entity Recognition Approach for Albanian Using Deep Learning -- A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining -- E?cient Declarative-based Process Mining using an Enhanced Framework -- Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks -- Classi?cation and Clustering of Emotive Microblogs in Albanian: Two User-Oriented Tasks. 330 $aThis book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v880 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aData mining 606 $aPattern recognition systems 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aAutomated Pattern Recognition 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aPattern recognition systems. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aAutomated Pattern Recognition. 676 $a006.3 702 $aAppice$b Annalisa$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCeci$b Michelangelo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLoglisci$b Corrado$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aManco$b Giuseppe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMasciari$b Elio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRas$b Zbigniew W$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484953003321 996 $aComplex Pattern Mining$92201414 997 $aUNINA