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Web and Big Data

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

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10366)

Included in the following conference series:

Conference proceedings info: APWeb-WAIM 2017.

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Table of contents (49 papers)

  1. Tutorials

  2. Spatial Data Processing and Data Quality

  3. Graph Data Processing

  4. Data Mining, Privacy and Semantic Analysis

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Keywords

About this book

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.

Editors and Affiliations

  • Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China

    Lei Chen

  • Computer Science, Aarhus University, Aarhus N, Denmark

    Christian S. Jensen

  • Computer Science, University of Southern California, Los Angeles, USA

    Cyrus Shahabi

  • Northeastern University, Shenyang, China

    Xiaochun Yang

  • Kent State University, Kent, USA

    Xiang Lian

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