Web and Big Data: First International Joint Conference, Part II

Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part II (Lecture Notes in Computer Science)

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.

Table of Contents

Chapter 1. Combining Node Identifier Features and Community Priors for Within-Network Classification
Chapter 2. An Active Learning Approach to Recognizing Domain-Specific Queries From Query Log
Chapter 3. Event2vec: Learning Representations of Events on Temporal Sequences
Chapter 4. Joint Emoji Classification and Embedding Learning
Chapter 5. Target-Specific Convolutional Bi-directional LSTM Neural Network for Political Ideology Analysis
Chapter 6. Boost Clickbait Detection Based on User Behavior Analysis
Chapter 7. A Novel Hybrid Friends Recommendation Framework for Twitter
Chapter 8. A Time and Sentiment Unification Model for Personalized Recommendation
Chapter 9. Personalized POI Groups Recommendation in Location-Based Social Networks
Chapter 10. Learning Intermediary Category Labels for Personal Recommendation
Chapter 11. Skyline-Based Recommendation Considering User Preferences
Chapter 12. Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?
Chapter 13. Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support
Chapter 14. Reordering Transaction Execution to Boost High Frequency Trading Applications
Chapter 15. Bus-OLAP: A Bus Journey Data Management Model for Non-on-time Events Query
Chapter 16. Distributed Data Mining for Root Causes of KPI Faults in Wireless Networks
Chapter 17. Precise Data Access on Distributed Log-Structured Merge-Tree
Chapter 18. Cuttle: Enabling Cross-Column Compression in Distributed Column Stores
Chapter 19. Optimizing Window Aggregate Functions via Random Sampling
Chapter 20. Fast Log Replication in Highly Available Data Store
Chapter 21. New Word Detection in Ancient Chinese Literature
Chapter 22. Identifying Evolutionary Topic Temporal Patterns Based on Bursty Phrase Clustering
Chapter 23. Personalized Citation Recommendation via Convolutional Neural Networks
Chapter 24. A Streaming Data Prediction Method Based on Evolving Bayesian Network
Chapter 25. A Learning Approach to Hierarchical Search Result Diversification
Chapter 26. TeslaML: Steering Machine Learning Automatically in Tencent
Chapter 27. DPHSim: A Flexible Simulator for DRAM/PCM-Based Hybrid Memory
Chapter 28. CrowdIQ: A Declarative Crowdsourcing Platform for Improving the Quality of Web Tables
Chapter 29. OICPM: An Interactive System to Find Interesting Co-location Patterns Using Ontologies
Chapter 30. BioPW: An Interactive Tool for Biological Pathway Visualization on Linked Data
Chapter 31. ChargeMap: An Electric Vehicle Charging Station Planning System
Chapter 32. Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis
Chapter 33. A Tool of Benchmarking Realtime Analysis for Massive Behavior Data
Chapter 34. Interactive Entity Centric Analysis of Log Data
Chapter 35. A Tool for 3D Visualizing Moving Objects