Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1632
| Title: | Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation |
| Other Titles: | 13th International Conference, BDAS 2017, Ustroee, Poland, May 30 - June 2, 2017, Proceedings / |
| Authors: | Kozielski, Staniseeaw. ;;Mrozek, Dariusz. ;;Kasprowski, Paweee. ;;Maeeysiak-Mrozek, Boeena. ;;Kostrzewa, Daniel. ; |
| subject: | Computer Science;Database Management;Data Mining;Information Storage and Retrieval;Computers;Computer graphics. ;;Computer Science;Data Mining and Knowledge Discovery;Database Management. ;;Computing Methodologies. ;;Compute |
| Year: | 2017 |
| place: | Cham : |
| Publisher: | Springer International Publishing : Imprint: Springer, |
| Series/Report no.: | Communications in Computer and Information Science, ; 1865-0929 ; ; 716. ; Communications in Computer and Information Science, ; 1865-0929 ; ; 716. ; |
| Abstract: | This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroee, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression. ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9783319582733. ; |
| URI: | http://localhost/handle/Hannan/1632 |
| ISBN: | 9783319582740 ; 9783319582733 (print) ; |
| More Information: | XVIII, 578 p. 184 illus. ; online resource. ; |
| Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319582740.pdf | 38.5 MB | Adobe PDF | ![]() Preview File |
| Title: | Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation |
| Other Titles: | 13th International Conference, BDAS 2017, Ustroee, Poland, May 30 - June 2, 2017, Proceedings / |
| Authors: | Kozielski, Staniseeaw. ;;Mrozek, Dariusz. ;;Kasprowski, Paweee. ;;Maeeysiak-Mrozek, Boeena. ;;Kostrzewa, Daniel. ; |
| subject: | Computer Science;Database Management;Data Mining;Information Storage and Retrieval;Computers;Computer graphics. ;;Computer Science;Data Mining and Knowledge Discovery;Database Management. ;;Computing Methodologies. ;;Compute |
| Year: | 2017 |
| place: | Cham : |
| Publisher: | Springer International Publishing : Imprint: Springer, |
| Series/Report no.: | Communications in Computer and Information Science, ; 1865-0929 ; ; 716. ; Communications in Computer and Information Science, ; 1865-0929 ; ; 716. ; |
| Abstract: | This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroee, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression. ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9783319582733. ; |
| URI: | http://localhost/handle/Hannan/1632 |
| ISBN: | 9783319582740 ; 9783319582733 (print) ; |
| More Information: | XVIII, 578 p. 184 illus. ; online resource. ; |
| Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319582740.pdf | 38.5 MB | Adobe PDF | ![]() Preview File |
| Title: | Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation |
| Other Titles: | 13th International Conference, BDAS 2017, Ustroee, Poland, May 30 - June 2, 2017, Proceedings / |
| Authors: | Kozielski, Staniseeaw. ;;Mrozek, Dariusz. ;;Kasprowski, Paweee. ;;Maeeysiak-Mrozek, Boeena. ;;Kostrzewa, Daniel. ; |
| subject: | Computer Science;Database Management;Data Mining;Information Storage and Retrieval;Computers;Computer graphics. ;;Computer Science;Data Mining and Knowledge Discovery;Database Management. ;;Computing Methodologies. ;;Compute |
| Year: | 2017 |
| place: | Cham : |
| Publisher: | Springer International Publishing : Imprint: Springer, |
| Series/Report no.: | Communications in Computer and Information Science, ; 1865-0929 ; ; 716. ; Communications in Computer and Information Science, ; 1865-0929 ; ; 716. ; |
| Abstract: | This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroee, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression. ; |
| Description: | SpringerLink (Online service) ; Printed edition: ; 9783319582733. ; |
| URI: | http://localhost/handle/Hannan/1632 |
| ISBN: | 9783319582740 ; 9783319582733 (print) ; |
| More Information: | XVIII, 578 p. 184 illus. ; online resource. ; |
| Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319582740.pdf | 38.5 MB | Adobe PDF | ![]() Preview File |
