Advertisement

Web and Big Data

Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part I

  • Yi Cai
  • Yoshiharu Ishikawa
  • Jianliang Xu
Conference proceedings APWeb-WAIM 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10987)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10987)

Table of contents

  1. Front Matter
    Pages I-XXV
    PDF

  2. Text Analysis

    1. Front Matter
      Pages 1-1
      PDF
    2. Abstractive Summarization with the Aid of Extractive Summarization
      Yangbin Chen, Yun Ma, Xudong Mao, Qing Li
      Pages 3-15
    3. Rank-Integrated Topic Modeling: A General Framework
      Zhen Zhang, Ruixuan Li, Yuhua Li, Xiwu Gu
      Pages 16-31
    4. Multi-label Classification via Label-Topic Pairs
      Gang Chen, Yue Peng, Chongjun Wang
      Pages 32-44
    5. Similarity Calculations of Academic Articles Using Topic Events and Domain Knowledge
      Ming Liu, Bo Lang, Zepeng Gu
      Pages 45-53
    6. Sentiment Classification via Supplementary Information Modeling
      Zenan Xu, Yetao Fu, Xingming Chen, Yanghui Rao, Haoran Xie, Fu Lee Wang et al.
      Pages 54-62
    7. Training Set Similarity Based Parameter Selection for Statistical Machine Translation
      Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang
      Pages 63-71

  3. Social Networks

    1. Front Matter
      Pages 73-73
      PDF
    2. Identifying Scholarly Communities from Unstructured Texts
      Ming Liu, Yang Chen, Bo Lang, Li Zhang, Hongting Niu
      Pages 75-89
    3. A Hybrid Spectral Method for Network Community Detection
      Jianjun Cheng, Longjie Li, Haijuan Yang, Qi Li, Xiaoyun Chen
      Pages 90-104
    4. Personalized Top-n Influential Community Search over Large Social Networks
      Jian Xu, Xiaoyi Fu, Liming Tu, Ming Luo, Ming Xu, Ning Zheng
      Pages 105-120
    5. Matrix Factorization Meets Social Network Embedding for Rating Prediction
      Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang
      Pages 121-129
    6. An Estimation Framework of Node Contribution Based on Diffusion Information
      Zhijian Zhang, Ling Liu, Kun Yue, Weiyi Liu
      Pages 130-137
    7. Multivariate Time Series Clustering via Multi-relational Community Detection in Networks
      Guowang Du, Lihua Zhou, Lizhen Wang, Hongmei Chen
      Pages 138-145

  4. Recommender Systems

    1. Front Matter
      Pages 147-147
      PDF
    2. NSPD: An N-stage Purchase Decision Model for E-commerce Recommendation
      Cairong Yan, Yan Huang, Qinglong Zhang, Yan Wan
      Pages 149-164
    3. Social Image Recommendation Based on Path Relevance
      Zhang Chuanyan, Hong Xiaoguang, Peng Zhaohui
      Pages 165-180
    4. Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data
      Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu
      Pages 181-188
    5. Attentive and Collaborative Deep Learning for Recommendation
      Feifei Li, Hongyan Liu, Jun He, Xiaoyong Du
      Pages 189-197
    6. Collaborative Probability Metric Learning
      Hongzhi Liu, Yingpeng Du, Zhonghai Wu
      Pages 198-206
    7. UIContextListRank: A Listwise Recommendation Model with Social Contextual Information
      Zhenhua Huang, Chang Yu, Jiujun Cheng, Zhixiao Wang
      Pages 207-215

  5. Information Retrieval

    1. Front Matter
      Pages 217-217
      PDF
    2. Diversified Keyword Expansion on Multi-labeled Graphs
      Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang
      Pages 219-235
    3. Distributed k-Nearest Neighbor Queries in Metric Spaces
      Xin Ding, Yuanliang Zhang, Lu Chen, Yunjun Gao, Baihua Zheng
      Pages 236-252
    4. Efficient Grammar Generation for Inverted Indexes
      Yan Fan, Xinyu Liu, Shuni Gao, Zhaohua Zhang, Xiaoguang Liu, Gang Wang
      Pages 253-267
    5. LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension
      Yang Song, Yu Gu, Ge Yu
      Pages 268-276
    6. Query Performance Prediction and Classification for Information Search Systems
      Zhongmin Zhang, Jiawei Chen, Shengli Wu
      Pages 277-285
    7. Aggregate Query Processing on Incomplete Data
      Anzhen Zhang, Jinbao Wang, Jianzhong Li, Hong Gao
      Pages 286-294

  6. Machine Learning

    1. Front Matter
      Pages 295-295
      PDF
    2. Travel Time Forecasting with Combination of Spatial-Temporal and Time Shifting Correlation in CNN-LSTM Neural Network
      Wenjing Wei, Xiaoyi Jia, Yang Liu, Xiaohui Yu
      Pages 297-311
    3. \(DMDP^2\): A Dynamic Multi-source Based Default Probability Prediction Framework
      Yi Zhao, Yong Huang, Yanyan Shen
      Pages 312-326
    4. Brain Disease Diagnosis Using Deep Learning Features from Longitudinal MR Images
      Linlin Gao, Haiwei Pan, Fujun Liu, Xiaoqin Xie, Zhiqiang Zhang, Jinming Han et al.
      Pages 327-339
    5. Attention-Based Recurrent Neural Network for Sequence Labeling
      Bofang Li, Tao Liu, Zhe Zhao, Xiaoyong Du
      Pages 340-348
    6. Haze Forecasting via Deep LSTM
      Fan Feng, Jikai Wu, Wei Sun, Yushuang Wu, HuaKang Li, Xingguo Chen
      Pages 349-356
    7. Importance-Weighted Distance Aware Stocks Trend Prediction
      Zherong Zhang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
      Pages 357-365

  7. Knowledge Graph

    1. Front Matter
      Pages 367-367
      PDF
    2. Jointly Modeling Structural and Textual Representation for Knowledge Graph Completion in Zero-Shot Scenario
      Jianhui Ding, Shiheng Ma, Weijia Jia, Minyi Guo
      Pages 369-384
    3. Neural Typing Entities in Chinese-Pedia
      Yongjian You, Shaohua Zhang, Jiong Lou, Xinsong Zhang, Weijia Jia
      Pages 385-399
    4. Knowledge Graph Embedding by Learning to Connect Entity with Relation
      Zichao Huang, Bo Li, Jian Yin
      Pages 400-414
    5. StarMR: An Efficient Star-Decomposition Based Query Processor for SPARQL Basic Graph Patterns Using MapReduce
      Qiang Xu, Xin Wang, Jianxin Li, Ying Gan, Lele Chai, Junhu Wang
      Pages 415-430
    6. DAVE: Extracting Domain Attributes and Values from Text Corpus
      Yongxin Shen, Zhixu Li, Wenling Zhang, An Liu, Xiaofang Zhou
      Pages 431-439
    7. PRSPR: An Adaptive Framework for Massive RDF Stream Reasoning
      Guozheng Rao, Bo Zhao, Xiaowang Zhang, Zhiyong Feng, Guohui Xiao
      Pages 440-448

  8. Demo Papers

    1. Front Matter
      Pages 449-449
      PDF
    2. TSRS: Trip Service Recommended System Based on Summarized Co-location Patterns
      Peizhong Yang, Tao Zhang, Lizhen Wang
      Pages 451-455
    3. DFCPM: A Dominant Feature Co-location Pattern Miner
      Yuan Fang, Lizhen Wang, Teng Hu, Xiaoxuan Wang
      Pages 456-460
    4. CUTE: Querying Knowledge Graphs by Tabular Examples
      Zichen Wang, Tian Li, Yingxia Shao, Bin Cui
      Pages 461-465
    5. ALTAS: An Intelligent Text Analysis System Based on Knowledge Graphs
      Xiaoli Wang, Chuchu Gao, Jiangjiang Cao, Kunhui Lin, Wenyuan Du, Zixiang Yang
      Pages 466-470
    6. SPARQLVis: An Interactive Visualization Tool for Knowledge Graphs
      Chaozhou Yang, Xin Wang, Qiang Xu, Weixi Li
      Pages 471-474
    7. PBR: A Personalized Book Resource Recommendation System
      Yajie Zhu, Feng Xiong, Qing Xie, Lin Li, Yongjian Liu
      Pages 475-479

Other volumes

  1. Web and Big Data
    Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part I
  2. Web and Big Data
    Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part II
  3. Web and Big Data
    APWeb-WAIM 2018 International Workshops: MWDA, BAH, KGMA, DMMOOC, DS, Macau, China, July 23–25, 2018, Revised Selected Papers

About these proceedings

Introduction

This two-volume set, LNCS 10987 and 10988, constitutes  the thoroughly refereed proceedings of the Second International Joint Conference, APWeb-WAIM 2018, held in Macau, China in July 2018.
The 40 full papers presented together with 30 short papers, 6 demonstration papers and 3 keynotes were carefully reviewed and selected from 168 submissions. The papers are organized around the following topics: Text Analysis, Social Networks, Recommender Systems, Information Retrieval, Machine Learning, Knowledge Graphs, Database and Web Applications, Data Streams, Data Mining and Application, Query Processing, Big Data and Blockchain.

Keywords

Artificial intelligence Classification Collaborative filtering Data mining Data structures and algorithms for data management Database query processing Graph-based database models Information retrieval Knowledge-based system Machine learning Natural language processing Neural networks Query processing Recommender systems Semantics Signal filtering and prediction Signal processing Social networks Web mining Web searching and information discovery

Editors and affiliations

  • Yi Cai
    • 1
  • Yoshiharu Ishikawa
    • 2
  • Jianliang Xu
    • 3
  1. 1.South China University of TechnologyGuangzhouChina
  2. 2.Nagoya UniversityNagoyaJapan
  3. 3.Hong Kong Baptist UniversityKowloon Tong, Hong KongChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96890-2
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-96889-6
  • Online ISBN 978-3-319-96890-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Engineering