LEADER 04184nam 22007695 450 001 9910409664803321 005 20230801071001.0 010 $a3-030-48861-6 024 7 $a10.1007/978-3-030-48861-1 035 $a(CKB)4100000011273692 035 $a(MiAaPQ)EBC6286283 035 $a(DE-He213)978-3-030-48861-1 035 $a(PPN)248394703 035 $a(EXLCZ)994100000011273692 100 $a20200513d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Frontiers in Mining Complex Patterns $e8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers /$fedited by Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew Ras 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (xii, 155 pages) $cillustrations 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11948 311 $a3-030-48860-8 327 $aA Framework for Pattern Mining and Anomaly Detection in Multi-Dimensional Time Series and Event Logs -- A Heuristic Approach for Sensitive Pattern Hiding with Improved Data Quality -- Interpretable Survival Gradient Boosting Models with Bagged Trees Base Learners -- Neural Hybrid Recommender: Recommendation Needs Collaboration -- Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods -- Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams -- Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning -- Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research Agenda -- Hough Transform as a Tool for the Classification of Vehicle Speed Changes in on-road Audio Recordings. 330 $aThis book constitutes the refereed post-conference proceedings of the 8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with ECML-PKDD 2019 in Würzburg, Germany, in September 2019. The workshop focused on the latest developments in the analysis of complex and massive data sources, such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v11948 606 $aArtificial intelligence 606 $aData mining 606 $aComputer networks 606 $aComputer systems 606 $aApplication software 606 $aEducation?Data processing 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aComputer Communication Networks 606 $aComputer System Implementation 606 $aComputer and Information Systems Applications 606 $aComputers and Education 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aComputer networks. 615 0$aComputer systems. 615 0$aApplication software. 615 0$aEducation?Data processing. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aComputer and Information Systems Applications. 615 24$aComputers and Education. 676 $a006.3 676 $a006.312 702 $aCeci$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$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910409664803321 996 $aNew Frontiers in Mining Complex Patterns$92177052 997 $aUNINA