LEADER 04380nam 22006975 450 001 9910349425303321 005 20230731193122.0 010 $a3-319-78680-6 024 7 $a10.1007/978-3-319-78680-3 035 $a(CKB)4100000002892540 035 $a(DE-He213)978-3-319-78680-3 035 $a(MiAaPQ)EBC6299382 035 $a(MiAaPQ)EBC5578111 035 $a(Au-PeEL)EBL5578111 035 $a(OCoLC)1030437396 035 $a(PPN)22555089X 035 $a(EXLCZ)994100000002892540 100 $a20180323d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Frontiers in Mining Complex Patterns $e6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers /$fedited by Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XII, 197 p. 57 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10785 311 $a3-319-78679-2 327 $aLearning Association Rules for Pharmacogenomic Studies -- Segment-Removal Based Stuttered Speech Remediation -- Identifying lncRNA-disease Relationships via Heterogeneous Clustering -- Density Estimators for Positive-Unlabeled Learning -- Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum -- A Scaled-Correlation Based Approach for Defining and analyzing functional networks -- Complex Localization in the Multiple Instance Learning Context -- Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform -- Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load -- Phenotype Prediction with Semi-supervised Classification Trees -- Structuring the Output Space in Multi-label Classification by Using Feature Ranking -- Infinite Mixtures of Markov Chains -- Community-based Semantic Subgroup Discovery. 330 $aThis book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications. The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v10785 606 $aData mining 606 $aComputer arithmetic and logic units 606 $aSocial sciences?Data processing 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery 606 $aArithmetic and Logic Structures 606 $aComputer Application in Social and Behavioral Sciences 606 $aArtificial Intelligence 615 0$aData mining. 615 0$aComputer arithmetic and logic units. 615 0$aSocial sciences?Data processing. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aArithmetic and Logic Structures. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aAppice$b Annalisa$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 $a9910349425303321 996 $aNew Frontiers in Mining Complex Patterns$92177052 997 $aUNINA