Data Science : Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I
Mentés helye:
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| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Singapore : Springer,
2017
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| Sorozat: | Communications in Computer and Information Science, ISSN 1865-0929 ; 727. |
| Tárgyszavak: | |
| Online elérés: | https://doi.org/10.1007/978-981-10-6385-5 |
| Címkék: |
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| id |
opac-EUL01-000955702 |
|---|---|
| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Data Science Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I edited by Beiji Zou [et al.] Singapore Springer 2017 XXV, 769 p. ill. szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Communications in Computer and Information Science 1865-0929 727. Mathematical Issues in Data Science -- Computational Theory for Data Science, Big Data Management and Applications -- Data Quality and Data Preparation -- Evaluation and Measurement in Data Science -- Data Visualization -- Big Data Mining and Knowledge Management -- Infrastructure for Data Science -- Machine Learning for Data Science -- Data Security and Privacy -- Applications of Data Science -- Case Study of Data Science -- Multimedia Data Management and Analysis -- Data-driven Scientific Research -- Data-driven Bioinformatics -- Data-driven Healthcare -- Data-driven Management -- Data-driven eGovernment -- Data-driven Smart City/Planet -- Data Marketing and Economics -- Social Media and Recommendation Systems -- Data-driven Security -- Data-driven Business Model Innovation -- Social and/or organizational impacts of Data Science. This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, Data-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science. Nyomtatott kiadás: ISBN 9789811063848 Nyomtatott kiadás: ISBN 9789811063862 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book számítógépes látás informatika konferencia EUL10001007248 Y Data mining EUL10000958066 Y adatbányászat EUL10000239212 Y Artificial intelligence. EUL10000183324 Y mesterséges intelligencia konferencia EUL10000229822 Y Computer vision. EUL10000467498 Y Optical pattern recognition. EUL10001087156 Y Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes/I18030 Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Image Processing and Computer Vision. http://scigraph.springernature.com/things/product-market-codes/I22021 Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X elektronikus könyv konferenciakötet tanulmányok Zou, Beiji szerk. EUL10001013831 Y SpringerLink (Online service) közreadó testület International Conference of Pioneering Computer Scientists, Engineers and Educators 3. 2017 Changsha, China Communications in Computer and Information Science EUL10001009114 Y Online változat https://doi.org/10.1007/978-981-10-6385-5 Singapore Springer Singapore Imprint: Springer 2017. EUL01 |
| language |
English |
| format |
Book |
| author2 |
Zou, Beiji, szerk. |
| author_facet |
Zou, Beiji, szerk. SpringerLink (Online service), közreadó testület International Conference of Pioneering Computer Scientists, Engineers and Educators3.(2017) (Changsha, China) |
| author_corporate |
SpringerLink (Online service), közreadó testület International Conference of Pioneering Computer Scientists, Engineers and Educators3.(2017) (Changsha, China) |
| author_sort |
Zou, Beiji |
| title |
Data Science : Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I |
| spellingShingle |
Data Science : Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I Communications in Computer and Information Science, ISSN 1865-0929 ; 727. számítógépes látás -- informatika -- konferencia Data mining adatbányászat Artificial intelligence. mesterséges intelligencia -- konferencia Computer vision. Optical pattern recognition. Data Mining and Knowledge Discovery. Artificial Intelligence. Image Processing and Computer Vision. Pattern Recognition. elektronikus könyv konferenciakötet tanulmányok |
| title_sub |
Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I |
| title_short |
Data Science |
| title_full |
Data Science Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I edited by Beiji Zou [et al.] |
| title_fullStr |
Data Science Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I edited by Beiji Zou [et al.] |
| title_full_unstemmed |
Data Science Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I edited by Beiji Zou [et al.] |
| title_auth |
Data Science Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I |
| title_sort |
data science third international conference of pioneering computer scientists engineers and educators icpcsee 2017 changsha china september 22 24 2017 proceedings part i |
| series |
Communications in Computer and Information Science, ISSN 1865-0929 ; 727. |
| series2 |
Communications in Computer and Information Science |
| publishDate |
2017 |
| publishDateSort |
2017 |
| physical |
XXV, 769 p. : ill. |
| isbn |
978-981-10-6385-5 |
| issn |
1865-0929 |
| callnumber-raw |
13660 |
| callnumber-search |
13660 |
| topic |
számítógépes látás -- informatika -- konferencia Data mining adatbányászat Artificial intelligence. mesterséges intelligencia -- konferencia Computer vision. Optical pattern recognition. Data Mining and Knowledge Discovery. Artificial Intelligence. Image Processing and Computer Vision. Pattern Recognition. elektronikus könyv konferenciakötet tanulmányok |
| topic_facet |
számítógépes látás -- informatika -- konferencia Data mining adatbányászat Artificial intelligence. mesterséges intelligencia -- konferencia Computer vision. Optical pattern recognition. Data Mining and Knowledge Discovery. Artificial Intelligence. Image Processing and Computer Vision. Pattern Recognition. elektronikus könyv konferenciakötet tanulmányok számítógépes látás Data mining adatbányászat Artificial intelligence. mesterséges intelligencia Computer vision. Optical pattern recognition. Data Mining and Knowledge Discovery. Artificial Intelligence. Image Processing and Computer Vision. Pattern Recognition. informatika konferencia |
| url |
https://doi.org/10.1007/978-981-10-6385-5 |
| illustrated |
Illustrated |
| first_indexed |
2023-12-27T16:50:56Z |
| last_indexed |
2023-12-30T20:26:37Z |
| recordtype |
opac |
| publisher |
Singapore : Springer |
| _version_ |
1786736172358172672 |
| score |
13,368425 |
| generalnotes |
This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, Data-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science. |