Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1184
Title: Machine Learning and Knowledge Extraction :
Other Titles: First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 - September 1, 2017, Proceedings /
Authors: International Cross Domain Conference for Machine Learning and Knowledge Extraction ; (1st : ; 2017 : ; Reggio, Italy) ;;Holzinger, Andreas, ; editor ;;Kieseberg, Peter, ; editor ;;Tjoa, A. Min, ; editor ;;Weippl, Edgar, ; editor ;
subject: Computer science ; Congresses ;;Computer networks ; Congresses ;;Computer security ; Congresses ;;Coding theory ; Congresses ;;Artificial intelligence ; Congresses ;;Computers and civilization ; Congresses ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing,
Series/Report no.: Lecture Notes in Computer Science, ; 0302-9743 ; ; 10410 ;
Lecture notes in computer science ; ; 10410. ; 0302-9743 ;
Abstract: This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017. The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics ;
Description: 


QA76.76.A65 ;
Available to OhioLINK libraries ;

Ohio Library and Information Network ;

Printed edition: ; 9783319668079 ;
URI: http://localhost/handle/Hannan/1184
ISBN: 9783319668086 ; (electronic book) ;
3319668080 ; (electronic book) ;
9783319668079 ;
3319668072 ;
More Information: 1 online resource (XV, 376 pages) : ; 129 illustrations ;
Appears in Collections:مهندسی فناوری اطلاعات

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9783319668086.pdf33.15 MBAdobe PDFThumbnail
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Title: Machine Learning and Knowledge Extraction :
Other Titles: First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 - September 1, 2017, Proceedings /
Authors: International Cross Domain Conference for Machine Learning and Knowledge Extraction ; (1st : ; 2017 : ; Reggio, Italy) ;;Holzinger, Andreas, ; editor ;;Kieseberg, Peter, ; editor ;;Tjoa, A. Min, ; editor ;;Weippl, Edgar, ; editor ;
subject: Computer science ; Congresses ;;Computer networks ; Congresses ;;Computer security ; Congresses ;;Coding theory ; Congresses ;;Artificial intelligence ; Congresses ;;Computers and civilization ; Congresses ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing,
Series/Report no.: Lecture Notes in Computer Science, ; 0302-9743 ; ; 10410 ;
Lecture notes in computer science ; ; 10410. ; 0302-9743 ;
Abstract: This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017. The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics ;
Description: 


QA76.76.A65 ;
Available to OhioLINK libraries ;

Ohio Library and Information Network ;

Printed edition: ; 9783319668079 ;
URI: http://localhost/handle/Hannan/1184
ISBN: 9783319668086 ; (electronic book) ;
3319668080 ; (electronic book) ;
9783319668079 ;
3319668072 ;
More Information: 1 online resource (XV, 376 pages) : ; 129 illustrations ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319668086.pdf33.15 MBAdobe PDFThumbnail
Preview File
Title: Machine Learning and Knowledge Extraction :
Other Titles: First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 - September 1, 2017, Proceedings /
Authors: International Cross Domain Conference for Machine Learning and Knowledge Extraction ; (1st : ; 2017 : ; Reggio, Italy) ;;Holzinger, Andreas, ; editor ;;Kieseberg, Peter, ; editor ;;Tjoa, A. Min, ; editor ;;Weippl, Edgar, ; editor ;
subject: Computer science ; Congresses ;;Computer networks ; Congresses ;;Computer security ; Congresses ;;Coding theory ; Congresses ;;Artificial intelligence ; Congresses ;;Computers and civilization ; Congresses ;
Year: 2017
place: Cham :
Publisher: Springer International Publishing,
Series/Report no.: Lecture Notes in Computer Science, ; 0302-9743 ; ; 10410 ;
Lecture notes in computer science ; ; 10410. ; 0302-9743 ;
Abstract: This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2017, held in Reggio, Italy, in August/September 2017. The 24 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers deal with fundamental questions and theoretical aspects and cover a wide range of topics in the field of machine learning and knowledge extraction. They are organized in the following topical sections: MAKE topology; MAKE smart factory; MAKE privacy; MAKE VIS; MAKE AAL; and MAKE semantics ;
Description: 


QA76.76.A65 ;
Available to OhioLINK libraries ;

Ohio Library and Information Network ;

Printed edition: ; 9783319668079 ;
URI: http://localhost/handle/Hannan/1184
ISBN: 9783319668086 ; (electronic book) ;
3319668080 ; (electronic book) ;
9783319668079 ;
3319668072 ;
More Information: 1 online resource (XV, 376 pages) : ; 129 illustrations ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319668086.pdf33.15 MBAdobe PDFThumbnail
Preview File