000827324 000__ 04208cam\a2200601Ii\4500 000827324 001__ 827324 000827324 005__ 20230306144609.0 000827324 006__ m\\\\\o\\d\\\\\\\\ 000827324 007__ cr\cn\nnnunnun 000827324 008__ 180404s2018\\\\sz\a\\\\o\\\\\100\0\eng\d 000827324 019__ $$a1033662910$$a1034541483 000827324 020__ $$a9783319786803$$q(electronic book) 000827324 020__ $$a3319786806$$q(electronic book) 000827324 020__ $$z9783319786797 000827324 0247_ $$a10.1007/978-3-319-78680-3$$2doi 000827324 035__ $$aSP(OCoLC)on1030437396 000827324 035__ $$aSP(OCoLC)1030437396$$z(OCoLC)1033662910$$z(OCoLC)1034541483 000827324 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLCF$$dOCLCO$$dMERER$$dUPM 000827324 049__ $$aISEA 000827324 050_4 $$aQA76.9.D343 000827324 08204 $$a006.3/12$$223 000827324 1112_ $$aNFMCP (Workshop)$$n(6th :$$d2017 :$$cSkopje, Macedonia) 000827324 24510 $$aNew frontiers in mining complex patterns :$$b6th International Workshop, NFMCP 2017, held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised selected papers /$$cAnnalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras (eds.). 000827324 2463_ $$aNFMCP 2017 000827324 264_1 $$aCham :$$bSpringer,$$c2018. 000827324 300__ $$a1 online resource (xii, 197 pages) :$$billustrations. 000827324 336__ $$atext$$btxt$$2rdacontent 000827324 337__ $$acomputer$$bc$$2rdamedia 000827324 338__ $$aonline resource$$bcr$$2rdacarrier 000827324 347__ $$atext file$$bPDF$$2rda 000827324 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v10785 000827324 4901_ $$aLecture notes in artificial intelligence 000827324 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence 000827324 5050_ $$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. 000827324 506__ $$aAccess limited to authorized users. 000827324 520__ $$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. 000827324 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 4, 2018). 000827324 650_0 $$aData mining$$vCongresses. 000827324 650_0 $$aPattern recognition systems$$vCongresses. 000827324 7001_ $$aAppice, Annalisa,$$eeditor. 000827324 7001_ $$aLoglisci, Corrado,$$eeditor. 000827324 7001_ $$aManco, Giuseppe,$$eeditor. 000827324 7001_ $$aMasciari, Elio,$$eeditor. 000827324 7001_ $$aRaƛ, Zbigniew,$$eeditor. 000827324 7112_ $$aECML PKDD (Conference)$$d(2017 :$$cSkopje, Macedonia),$$jjointly held conference. 000827324 77608 $$iPrint version: $$z9783319786797 000827324 830_0 $$aLecture notes in computer science ;$$v10785. 000827324 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 000827324 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 000827324 852__ $$bebk 000827324 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-78680-3$$zOnline Access$$91397441.1 000827324 909CO $$ooai:library.usi.edu:827324$$pGLOBAL_SET 000827324 980__ $$aEBOOK 000827324 980__ $$aBIB 000827324 982__ $$aEbook 000827324 983__ $$aOnline 000827324 994__ $$a92$$bISE