LEADER 03515nam 22006975 450 001 996466455203316 005 20201106073228.0 010 $a3-319-61461-4 024 7 $a10.1007/978-3-319-61461-8 035 $a(CKB)4340000000061602 035 $a(DE-He213)978-3-319-61461-8 035 $a(MiAaPQ)EBC6296078 035 $a(MiAaPQ)EBC5578432 035 $a(Au-PeEL)EBL5578432 035 $a(OCoLC)992987802 035 $a(PPN)203668537 035 $a(EXLCZ)994340000000061602 100 $a20170701d2017 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$b[electronic resource] $e5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers /$fedited by Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ra? 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 263 p. 66 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v10312 311 $a3-319-61460-6 327 $aFeature selection and induction -- Classification and prediction -- Clustering -- Pattern discovery -- Applications. 330 $aThis book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 5th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2016, held in conjunction with ECML-PKDD 2016 in Riva del Garda, Italy, in September 2016. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications. . 410 0$aLecture Notes in Artificial Intelligence ;$v10312 606 $aData mining 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aData mining. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 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 $aMasciari$b Elio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRa?$b Zbigniew W$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466455203316 996 $aNew Frontiers in Mining Complex Patterns$92177052 997 $aUNISA LEADER 05635nam 22007214a 450 001 9910783420703321 005 20230617003929.0 010 $a6610504873 010 $a1-280-50487-0 010 $a9786610504879 010 $a1-4294-0201-6 010 $a1-60750-120-1 010 $a600-00-0350-1 010 $a1-60129-101-9 035 $a(CKB)1000000000243897 035 $a(EBL)265940 035 $a(OCoLC)191037889 035 $a(SSID)ssj0000106125 035 $a(PQKBManifestationID)11128032 035 $a(PQKBTitleCode)TC0000106125 035 $a(PQKBWorkID)10106072 035 $a(PQKB)10802557 035 $a(MiAaPQ)EBC265940 035 $a(Au-PeEL)EBL265940 035 $a(CaPaEBR)ebr10130674 035 $a(CaONFJC)MIL50487 035 $a(OCoLC)80247811 035 $a(EXLCZ)991000000000243897 100 $a20050602d2005 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aArtificial intelligence in education$b[electronic resource] $esupporting learning through intelligent and socially informed technology /$fedited by Chee-Kit Looi ...[et al.] 210 $aWashington, DC $cIOS Press$dc2005 215 $a1 online resource (1040 p.) 225 1 $aFrontiers in artificial intelligence and applications ;$vv. 125 300 $aPapers presented at the 12th International Conference on Artificial Intelligence in Education, held in Amsterdam, July 18-22, 2005. 311 $a1-58603-530-4 320 $aIncludes bibliographical references and index. 327 $aTitle page; Preface; International AIED Society Management Board; Executive Committee Members; Conference Organization; Sponsors; Contents; Invited Talks; Learning with Virtual Peers; Scaffolding Inquiry Learning: How Much Intelligence is Needed and by Whom?; Constraint-Based Tutors: A Success Story; Interactivity and Learning; Full Papers; Evaluating a Mixed-Initiative Authoring Environment: Is REDEEM for Real?; An Architecture to Combine Meta-Cognitive and Cognitive Tutoring: Pilot Testing the Help Tutor; ""A la"" in Education: Keywords Linking Method for Selecting Web Resources 327 $aInferring Learning and Attitudes from a Bayesian Network of Log File Data Why Is Externally-Regulated Learning More Effective Than Self-Regulated Learning with Hypermedia?; Motivating Appropriate Challenges in a Reciprocal Tutoring System; Do Performance Goals Lead Students to Game the System?; Pedagogical Agents as Social Models for Engineering: The Influence of Agent Appearance on Female Choice; The Impact of Frustration-Mitigating Messages Delivered by an Interface Agent; Computational Methods for Evaluating Student and Group Learning Histories in Intelligent Tutoring Systems 327 $aEngagement Tracing: Using Response Times to Model Student Disengagement Interactive Authoring Support for Adaptive Educational Systems; Some Unusual Open Learner Models; Advanced Capabilities for Evaluating Student Writing: Detecting Off-Topic Essays Without Topic-Specific Training; Thread-Based Analysis of Patterns of Collaborative Interaction in Chat; Conceptual Conflict by Design: Dealing with Students' Learning Impasses in Multi-User Multi-Agent Virtual Worlds; Motivating Learners by Nurturing Animal Companions: My-Pet and Our-Pet 327 $aArithmetic Desk: Computer Embedded Manipulatives for Learning Arithmetic Adaptive Reward Mechanism for Sustainable Online Learning Community; What Is The Student Referring To? Mapping Properties and Concepts in Students' Systems of Physics Equations; The Effects of a Pedagogical Agent in an Open Learning Environment; Using Discussion Prompts to Scaffold Parent-Child Collaboration Around a Computer-Based Activity; Self-Regulation of Learning with Multiple Representations in Hypermedia; An ITS for Medical Classification Problem-Solving: Effects of Tutoring and Representations 327 $aMining Data and Modelling Social Capital in Virtual Learning Communities Tradeoff Analysis Between Knowledge Assessment Approaches; Natural Language Generation for Intelligent Tutoring Systems: A Case Study; Dialogue-Learning Correlations in Spoken Dialogue Tutoring; Adolescents' Use of SRL Behaviors and Their Relation to Qualitative Mental Model Shifts While Using Hypermedia; Teaching about Dynamic Processes A Teachable Agents Approach; Exam Question Recommender System; DIANE, a Diagnosis System for Arithmetical Problem Solving 327 $aCollaboration and Cognitive Tutoring: Integration, Empirical Results, and Future Directions 330 $aThe field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. 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