9783319635781-3319635786-Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part I (Lecture Notes in ... Applications, incl. Internet/Web, and HCI)

Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part I (Lecture Notes in ... Applications, incl. Internet/Web, and HCI)

ISBN-13: 9783319635781
ISBN-10: 3319635786
Edition: 1st ed. 2017
Author: Cyrus Shahabi, Christian S. Jensen, Lei Chen, Xiaochun Yang, Xiang Lian
Publication date: 2017
Publisher: Springer
Format: Paperback 662 pages
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Book details

ISBN-13: 9783319635781
ISBN-10: 3319635786
Edition: 1st ed. 2017
Author: Cyrus Shahabi, Christian S. Jensen, Lei Chen, Xiaochun Yang, Xiang Lian
Publication date: 2017
Publisher: Springer
Format: Paperback 662 pages

Summary

Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part I (Lecture Notes in ... Applications, incl. Internet/Web, and HCI) (ISBN-13: 9783319635781 and ISBN-10: 3319635786), written by authors Cyrus Shahabi, Christian S. Jensen, Lei Chen, Xiaochun Yang, Xiang Lian, was published by Springer in 2017. With an overall rating of 3.6 stars, it's a notable title among other books. You can easily purchase or rent Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part I (Lecture Notes in ... Applications, incl. Internet/Web, and HCI) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This two –volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017.

The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.

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