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Web and Big Data

Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1–3, 2019, Proceedings, Part II

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Jie Shao

    1. University of Electronic Science and Technology of China, Chengdu, China

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  2. Man Lung Yiu

    1. Hong Kong Polytechnic University, Hong Kong, China

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  3. Masashi Toyoda

    1. The University of Tokyo, Tokyo, Japan

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  4. Dongxiang Zhang

    1. Zhejiang University, Hangzhou, China

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  5. Wei Wang

    1. National University of Singapore, Singapore, Singapore

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  6. Bin Cui

    1. Peking University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11642)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: APWeb-WAIM 2019.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xix
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  2. Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling

      • Yunpei Zheng, Lin Li, Jianwei Zhang, Qing Xie, Luo Zhong
      Pages 3-11

    3. Exploring Nonnegative and Low-Rank Correlation for Noise-Resistant Spectral Clustering

      • Zheng Wang, Cai Na, Zeyu Ma, Si Chen, Lingyun Song, Yang Yang
      Pages 12-26

    4. FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search

      • Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui
      Pages 27-41

    5. Supervised Hashing with Recurrent Scaling

      • Xiyao Fu, Yi Bin, Zheng Wang, Qin Wei, Si Chen
      Pages 42-56

    6. TRPN: Matrix Factorization Meets Recurrent Neural Network for Temporal Rating Prediction

      • Haozhe Zhu, Yanyan Shen, Xian Zhou
      Pages 57-72

    7. Improved Review Sentiment Analysis with a Syntax-Aware Encoder

      • Jiangfeng Zeng, Ming Yang, Ke Zhou, Xiao Ma, Yangtao Wang, Xiaodong Xu et al.
      Pages 73-87

    8. Who Is the Abnormal User: Anomaly Detection Framework based on the Graph Convolutional Networks

      • Zetao Zheng, Jia Zhu, Yong Tang, Jiabing Du
      Pages 88-102

    9. I-mRMR: Incremental Max-Relevance, and Min-Redundancy Feature Selection

      • Yeliang Xiu, Suyun Zhao, Hong Chen, Cuiping Li
      Pages 103-110

    10. ST-DCN: A Spatial-Temporal Densely Connected Networks for Crowd Flow Prediction

      • Longlong Xu, Xiansheng Chen, Yue Xu, Wei Chen, Tengjiao Wang
      Pages 111-118

  3. Recommender Systems

    1. Front Matter

      Pages 119-119
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    2. Streaming Recommendation Algorithm with User Interest Drift Analysis

      • Jianzong Chen, Hanlu Li, Qing Xie, Lin Li, Yongjian Liu
      Pages 121-136

    3. Unified Group Recommendation Towards Multiple Criteria

      • Yi Wu, Ning Yang, Huanrui Luo
      Pages 137-151

    4. A Novel Ensemble Approach for Click-Through Rate Prediction Based on Factorization Machines and Gradient Boosting Decision Trees

      • Xiaochen Wang, Gang Hu, Haoyang Lin, Jiayu Sun
      Pages 152-162

    5. Latent Path Connected Space Model for Recommendation

      • Lang Mei, Jun He, Hongyan Liu, Xiaoyong Du
      Pages 163-172

  4. Storage, Indexing and Physical Database Design

    1. Front Matter

      Pages 173-173
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    2. FreshJoin: An Efficient and Adaptive Algorithm for Set Containment Join

      • Jizhou Luo, Wei Zhang, Shengfei Shi, Hong Gao, Jianzhong Li, Tao Zhang et al.
      Pages 175-190

    3. Apara: Workload-Aware Data Partition and Replication for Parallel Databases

      • Xiaolei Zhang, Chunxi Zhang, Yuming Li, Rong Zhang, Aoying Zhou
      Pages 191-206

    4. Which Category Is Better: Benchmarking the RDBMSs and GDBMSs

      • Pengjie Ding, Yijian Cheng, Wei Lu, Hao Huang, Xiaoyong Du
      Pages 207-215
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Other volumes

  1. Web and Big Data

  2. Web and Big Data

  3. Web and Big Data

Keywords

About this book

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.

Editors and Affiliations

  • University of Electronic Science and Technology of China, Chengdu, China

    Jie Shao

  • Hong Kong Polytechnic University, Hong Kong, China

    Man Lung Yiu

  • The University of Tokyo, Tokyo, Japan

    Masashi Toyoda

  • Zhejiang University, Hangzhou, China

    Dongxiang Zhang

  • National University of Singapore, Singapore, Singapore

    Wei Wang

  • Peking University, Beijing, China

    Bin Cui

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