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Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, Proceedings, Part IWeb and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, Proceedings, Part I

Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, Proceedings, Part I in Vernon, BC

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Current price: $94.99
Original price: $117.71
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Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, Proceedings, Part I

Coles

Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, Proceedings, Part I in Vernon, BC

By None

Current price: $94.99
Original price: $117.71
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Size: Kobo eBook

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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.
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.

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