Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1–3, 2019, Proceedings, Part I
Author:   Jie Shao ,  Man Lung Yiu ,  Masashi Toyoda ,  Dongxiang Zhang
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11641
ISBN:  

9783030260712


Pages:   433
Publication Date:   18 July 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1–3, 2019, Proceedings, Part I


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This two-volume set, LNCS 11641 and 11642, constitutes  the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019.   The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval; Knowledge Graph; Machine Learning; Recommender Systems; Storage, Indexing and Physical Database Design; Spatial, Temporal and Multimedia Databases; Text Analysis and Mining; and Demo.

Full Product Details

Author:   Jie Shao ,  Man Lung Yiu ,  Masashi Toyoda ,  Dongxiang Zhang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11641
Weight:   0.694kg
ISBN:  

9783030260712


ISBN 10:   3030260712
Pages:   433
Publication Date:   18 July 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Big Data Analytics.- Data and Information Quality.- Data Mining and Application.- Graph Data and Social Networks.- Information Extraction and Retrieval.- Knowledge Graph.- Machine Learning.- Recommender Systems.- Storage, Indexing and Physical Database Design.- Spatial, Temporal and Multimedia Databases.- Text Analysis and Mining. 

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