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عنوان: | New Frontiers in Mining Complex Patterns |
عنوان دیگر: | 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers / |
پدیدآورنده: | Appice, Annalisa. ;;Loglisci, Corrado. ;;Manco, Giuseppe. ;;Masciari, Elio. ;;Ras, Zbigniew W. ; |
کلید واژه ها: | Computer Science;Arithmetic and logic units, Computer. ;;Data Mining;Artificial Intelligence;Application Software;Computer Science;Data Mining and Knowledge Discovery;Arithmetic and Logic Structures. ;;Computer Appl. in Social and Behavioral Sciences. ;;Artificial Intelligence and Robotics;006.312 ; 23 ;;QA76.9.D343 ; |
تاریخ انتشار: | 2018 |
محل نشر: | Cham : |
ناشر: | Springer International Publishing : Imprint: Springer, |
فروست / شماره : | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; |
چکیده: | This 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319786797. ; |
آدرس: | http://localhost/handle/Hannan/970 |
شابک : | 9783319786803 ; 9783319786797 (print) ; |
اطلاعات بیشتر: | XII, 197 p. 57 illus. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319786797.pdf | 14.43 MB | Adobe PDF | مشاهده فایل |
عنوان: | New Frontiers in Mining Complex Patterns |
عنوان دیگر: | 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers / |
پدیدآورنده: | Appice, Annalisa. ;;Loglisci, Corrado. ;;Manco, Giuseppe. ;;Masciari, Elio. ;;Ras, Zbigniew W. ; |
کلید واژه ها: | Computer Science;Arithmetic and logic units, Computer. ;;Data Mining;Artificial Intelligence;Application Software;Computer Science;Data Mining and Knowledge Discovery;Arithmetic and Logic Structures. ;;Computer Appl. in Social and Behavioral Sciences. ;;Artificial Intelligence and Robotics;006.312 ; 23 ;;QA76.9.D343 ; |
تاریخ انتشار: | 2018 |
محل نشر: | Cham : |
ناشر: | Springer International Publishing : Imprint: Springer, |
فروست / شماره : | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; |
چکیده: | This 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319786797. ; |
آدرس: | http://localhost/handle/Hannan/970 |
شابک : | 9783319786803 ; 9783319786797 (print) ; |
اطلاعات بیشتر: | XII, 197 p. 57 illus. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319786797.pdf | 14.43 MB | Adobe PDF | مشاهده فایل |
عنوان: | New Frontiers in Mining Complex Patterns |
عنوان دیگر: | 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers / |
پدیدآورنده: | Appice, Annalisa. ;;Loglisci, Corrado. ;;Manco, Giuseppe. ;;Masciari, Elio. ;;Ras, Zbigniew W. ; |
کلید واژه ها: | Computer Science;Arithmetic and logic units, Computer. ;;Data Mining;Artificial Intelligence;Application Software;Computer Science;Data Mining and Knowledge Discovery;Arithmetic and Logic Structures. ;;Computer Appl. in Social and Behavioral Sciences. ;;Artificial Intelligence and Robotics;006.312 ; 23 ;;QA76.9.D343 ; |
تاریخ انتشار: | 2018 |
محل نشر: | Cham : |
ناشر: | Springer International Publishing : Imprint: Springer, |
فروست / شماره : | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; |
چکیده: | This 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9783319786797. ; |
آدرس: | http://localhost/handle/Hannan/970 |
شابک : | 9783319786803 ; 9783319786797 (print) ; |
اطلاعات بیشتر: | XII, 197 p. 57 illus. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9783319786797.pdf | 14.43 MB | Adobe PDF | مشاهده فایل |