Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/983
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dc.contributor.authorVentura, Sebastieen. ;en_US
dc.contributor.authorLuna, Jose Marea. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:24:07Z-
dc.date.available2020-05-17T08:24:07Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319981406 ;en_US
dc.identifier.isbn9783319981390 (print) ;en_US
dc.identifier.isbn9783319981413 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/983-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319981390. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319981413. ;en_US
dc.descriptionen_US
dc.description.abstractThis book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features). This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook. ;en_US
dc.description.statementofresponsibilityby Sebastieen Ventura, Jose Marea Luna.en_US
dc.description.tableofcontents1 Introduction to Supervised Descriptive Pattern Mining -- 2 Contrast Sets -- 3 Emerging Patterns -- 4 Subgroup Discovery -- 5 Class Association Rules -- 6 Exceptional Models -- 7 Other Forms of Supervised Descriptive Pattern Mining -- 8 Successful Applications. ;en_US
dc.format.extentXI, 185 p. 42 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319981390.pdfen_US
dc.subjectData Miningen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectOptical pattern recognition. ;en_US
dc.subjectData Mining and Knowledge Discovery. ; http://scigraph.springernature.com/things/product-market-codes/I18030. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectPattern Recognition. ; http://scigraph.springernature.com/things/product-market-codes/I2203X. ;en_US
dc.subject.ddc006.312 ; 23 ;en_US
dc.subject.lccQA76.9.D343 ;en_US
dc.titleSupervised Descriptive Pattern Miningen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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9783319981390.pdf4.23 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorVentura, Sebastieen. ;en_US
dc.contributor.authorLuna, Jose Marea. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:24:07Z-
dc.date.available2020-05-17T08:24:07Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319981406 ;en_US
dc.identifier.isbn9783319981390 (print) ;en_US
dc.identifier.isbn9783319981413 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/983-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319981390. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319981413. ;en_US
dc.descriptionen_US
dc.description.abstractThis book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features). This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook. ;en_US
dc.description.statementofresponsibilityby Sebastieen Ventura, Jose Marea Luna.en_US
dc.description.tableofcontents1 Introduction to Supervised Descriptive Pattern Mining -- 2 Contrast Sets -- 3 Emerging Patterns -- 4 Subgroup Discovery -- 5 Class Association Rules -- 6 Exceptional Models -- 7 Other Forms of Supervised Descriptive Pattern Mining -- 8 Successful Applications. ;en_US
dc.format.extentXI, 185 p. 42 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319981390.pdfen_US
dc.subjectData Miningen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectOptical pattern recognition. ;en_US
dc.subjectData Mining and Knowledge Discovery. ; http://scigraph.springernature.com/things/product-market-codes/I18030. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectPattern Recognition. ; http://scigraph.springernature.com/things/product-market-codes/I2203X. ;en_US
dc.subject.ddc006.312 ; 23 ;en_US
dc.subject.lccQA76.9.D343 ;en_US
dc.titleSupervised Descriptive Pattern Miningen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319981390.pdf4.23 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVentura, Sebastieen. ;en_US
dc.contributor.authorLuna, Jose Marea. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:24:07Z-
dc.date.available2020-05-17T08:24:07Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319981406 ;en_US
dc.identifier.isbn9783319981390 (print) ;en_US
dc.identifier.isbn9783319981413 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/983-
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319981390. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319981413. ;en_US
dc.descriptionen_US
dc.description.abstractThis book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features). This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook. ;en_US
dc.description.statementofresponsibilityby Sebastieen Ventura, Jose Marea Luna.en_US
dc.description.tableofcontents1 Introduction to Supervised Descriptive Pattern Mining -- 2 Contrast Sets -- 3 Emerging Patterns -- 4 Subgroup Discovery -- 5 Class Association Rules -- 6 Exceptional Models -- 7 Other Forms of Supervised Descriptive Pattern Mining -- 8 Successful Applications. ;en_US
dc.format.extentXI, 185 p. 42 illus. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.haspart9783319981390.pdfen_US
dc.subjectData Miningen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectOptical pattern recognition. ;en_US
dc.subjectData Mining and Knowledge Discovery. ; http://scigraph.springernature.com/things/product-market-codes/I18030. ;en_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectPattern Recognition. ; http://scigraph.springernature.com/things/product-market-codes/I2203X. ;en_US
dc.subject.ddc006.312 ; 23 ;en_US
dc.subject.lccQA76.9.D343 ;en_US
dc.titleSupervised Descriptive Pattern Miningen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319981390.pdf4.23 MBAdobe PDFThumbnail
Preview File