Please use this identifier to cite or link to this item:
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| Title: | Inductive Logic Programming |
| Other Titles: | 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017, Revised Selected Papers / |
| Authors: | Lachiche, Nicolas. ;;Vrain, Christel. ; |
| subject: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer logic. ;;Mathematical logic. ;;Artificial Intelligence;Computer Science;Mathematical Logic and Formal Languages. ;;Artificial Intelligence and Robotics;Programming Languages and Compilers and Interpreters;Logics and Meanings of Programs. ;;Programming Techniques;005.131 ; 23 ;;QA8.9-QA10.3 ; |
| Year: | 2018 |
| place: | Cham : |
| Publisher: | Springer International Publishing : Imprint: Springer, |
| Series/Report no.: | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; |
| Abstract: | This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9783319780894. ; |
| URI: | http://localhost/handle/Hannan/1274 |
| ISBN: | 9783319780900 ; 9783319780894 (print) ; |
| More Information: | X, 185 p. 74 illus. ; online resource. ; |
| Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319780894.pdf | 14.53 MB | Adobe PDF |  Preview File |
| Title: | Inductive Logic Programming |
| Other Titles: | 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017, Revised Selected Papers / |
| Authors: | Lachiche, Nicolas. ;;Vrain, Christel. ; |
| subject: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer logic. ;;Mathematical logic. ;;Artificial Intelligence;Computer Science;Mathematical Logic and Formal Languages. ;;Artificial Intelligence and Robotics;Programming Languages and Compilers and Interpreters;Logics and Meanings of Programs. ;;Programming Techniques;005.131 ; 23 ;;QA8.9-QA10.3 ; |
| Year: | 2018 |
| place: | Cham : |
| Publisher: | Springer International Publishing : Imprint: Springer, |
| Series/Report no.: | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; |
| Abstract: | This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9783319780894. ; |
| URI: | http://localhost/handle/Hannan/1274 |
| ISBN: | 9783319780900 ; 9783319780894 (print) ; |
| More Information: | X, 185 p. 74 illus. ; online resource. ; |
| Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319780894.pdf | 14.53 MB | Adobe PDF | Preview File |
| Title: | Inductive Logic Programming |
| Other Titles: | 27th International Conference, ILP 2017, Orleans, France, September 4-6, 2017, Revised Selected Papers / |
| Authors: | Lachiche, Nicolas. ;;Vrain, Christel. ; |
| subject: | Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer logic. ;;Mathematical logic. ;;Artificial Intelligence;Computer Science;Mathematical Logic and Formal Languages. ;;Artificial Intelligence and Robotics;Programming Languages and Compilers and Interpreters;Logics and Meanings of Programs. ;;Programming Techniques;005.131 ; 23 ;;QA8.9-QA10.3 ; |
| Year: | 2018 |
| place: | Cham : |
| Publisher: | Springer International Publishing : Imprint: Springer, |
| Series/Report no.: | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10759. ; |
| Abstract: | This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orleans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9783319780894. ; |
| URI: | http://localhost/handle/Hannan/1274 |
| ISBN: | 9783319780900 ; 9783319780894 (print) ; |
| More Information: | X, 185 p. 74 illus. ; online resource. ; |
| Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319780894.pdf | 14.53 MB | Adobe PDF | Preview File |