Web and Big Data

Autor: Lei Chen, Christian S. Jensen, Cyrus Shahabi, Xiaochun Yang, Xiang Lian

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

50.19 €

This two -volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the F...

Informácie o knihe

Autor

Lei Chen, Christian S. Jensen, Cyrus Shahabi, Xiaochun Yang, Xiang Lian

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2017

Stránok

362

EAN

9783319635637

ISBN

3319635638

Enbook ID

16495694

Vydavateľ

Springer International Publishing AG

Hmotnosť

5796

Rozmery

155 x 235 x 23

Kompletný popis

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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