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Web and Big Data : APWeb-WAIM 2018 International Workshops: MWDA, BAH, KGMA, DMMOOC, DS, Macau, China, July 23-25, 2018, Revised Selected Papers / edited by Leong Hou U, Haoran Xie.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11268
- Information Systems and Applications, incl. Internet/Web, and HCI ; 11268
- Language:
- English
- Subjects (All):
- Information storage and retrieval systems.
- Data mining.
- Application software.
- Artificial intelligence.
- Natural language processing (Computer science).
- Computers, Special purpose.
- Information Storage and Retrieval.
- Data Mining and Knowledge Discovery.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Special Purpose and Application-Based Systems.
- Local Subjects:
- Information Storage and Retrieval.
- Data Mining and Knowledge Discovery.
- Computer and Information Systems Applications.
- Artificial Intelligence.
- Natural Language Processing (NLP).
- Special Purpose and Application-Based Systems.
- Physical Description:
- 1 online resource (XIII, 394 pages) : 144 illustrations
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- This book constitutes the thoroughly refereed post-conference proceedings of the First APWeb-WAIM 2018 Workshops, held jointly with the Second International Joint Conference APWeb-WAIM 2018 in Macau, China, in July 2018. The 31 full papers presented were carefully reviewed and selected from 44 submissions. The papers originating from five workshops present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of web data management with the focus on mobile web data analytics; knowledge graph management and analysis; data management and mining on MOOCs; Big data analytics for healthcare; data science.
- Contents:
- Mobile web data analytics
- Big data analytics for healthcare
- Knowledge graph management and analysis
- Data management and mining on MOOCs
- Data science. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-01298-4
- 9783030012984
- Access Restriction:
- Restricted for use by site license.
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