Web and Big Data Web and Big Data

Web and Big Data

First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part II

Lei Chen et autres
    • 39,99 $US
    • 39,99 $US

Description de l’éditeur

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.

GENRE
Informatique et Internet
SORTIE
2017
2 août
LANGUE
EN
Anglais
LONGUEUR
383
Pages
ÉDITIONS
Springer International Publishing
VENDEUR
Springer Nature B.V.
TAILLE
7,3
Mo
Web and Big Data Web and Big Data
2017
Web-Age Information Management Web-Age Information Management
2016
Web Technologies and Applications Web Technologies and Applications
2016
Web Information Systems and Applications Web Information Systems and Applications
2018
Web and Big Data Web and Big Data
2020
Database Systems for Advanced Applications Database Systems for Advanced Applications
2019
Chinese Contract Law Chinese Contract Law
2017
Property Law in China Property Law in China
2025
Women with Epilepsy in Child-bearing Age Women with Epilepsy in Child-bearing Age
2024
Near-infrared Speckle Contrast Diffuse Correlation Tomography for Noncontact Imaging of Tissue Blood Flow Distribution Near-infrared Speckle Contrast Diffuse Correlation Tomography for Noncontact Imaging of Tissue Blood Flow Distribution
2022
Integrity Constraints on Rich Data Types Integrity Constraints on Rich Data Types
2023
Deep Learning and Practice with MindSpore Deep Learning and Practice with MindSpore
2021