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

Web and Big Data: First International Joint Conference, Part I Front Cover
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2017-09-13
662 pages

Book Description

Web and Big Data: First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7–9, 2017, Proceedings, Part I (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; , privacy and semantic ; text and log data ; 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. Meta Paths and Meta Structures: Analysing Large Heterogeneous Information Networks
Chapter 2. TrajSpark: A Scalable and Efficient In-Memory Management System for Big Trajectory Data
Chapter 3. A Local-Global LDA Model for Discovering Geographical Topics from
Chapter 4. Team-Oriented Task Planning in Spatial Crowdsourcing
Chapter 5. Negative Survey with Manual Selection: A Case Study in Chinese Universities
Chapter 6. Element-Oriented Method of Assessing of Sightseeing Spots by Using Social Images
Chapter 7. Sifting Truths from Multiple Low-Quality Data Sources
Chapter 8. A Community-Aware Approach to Minimizing Dissemination in Graphs
Chapter 9. Time-Constrained Graph Pattern Matching in a Large Temporal Graph
Chapter 10. Efficient Compression on Real World Directed Graphs
Chapter 11. Keyphrase Extraction Using Knowledge Graphs
Chapter 12. Semantic-Aware Partitioning on RDF Graphs
Chapter 13. An Incremental Algorithm for Estimating Average Clustering Coefficient Based on Random Walk
Chapter 14. Deep Multi-label Hashing for Large-Scale Visual Search Based on Semantic Graph
Chapter 15. An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networks
Chapter 16. Privacy-Preserving Collaborative Web Services QoS Prediction via Differential Privacy
Chapter 17. High-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds
Chapter 18. Extracting Various Types of Informative Web Content via Fuzzy Sequential Pattern Mining
Chapter 19. Exploiting High Utility Occupancy Patterns
Chapter 20. Translation Language Model Enhancement for Community Question Retrieval Using User Adoption Answer
Chapter 21. Holographic Lexical Chain and Its Application in Chinese Text Summarization
Chapter 22. Authorship Identification of Source Codes
Chapter 23. DFDS: A Domain-Independent Framework for Document-Level Sentiment Analysis Based on RST
Chapter 24. Fast Follower Recovery for State Machine Replication
Chapter 25. Laser: Load-Adaptive Group Commit in Lock-Free Transaction Logging
Chapter 26. Detecting User Occupations on Microblogging Platforms: An Experimental Study
Chapter 27. Counting Edges and Triangles in Online Social Networks via Random Walk
Chapter 28. Fair Reviewer Assignment Considering Academic Social Network
Chapter 29. Viral Marketing for Digital Goods in Social Networks
Chapter 30. Change Detection from Media Sharing Community
Chapter 31. Measuring the Similarity of Nodes in Signed Social Networks with Positive and Negative Links
Chapter 32. Elastic Resource Provisioning for Batched Stream Processing System in Container Cloud
Chapter 33. An Adaptive Framework for RDF Stream Processing
Chapter 34. Investigating Microstructure Patterns of Enterprise Network in Perspective of Ego Network
Chapter 35. Neural Architecture for Negative Opinion Expressions Extraction
Chapter 36. Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking
Chapter 37. Fuzzy Rough Incremental Attribute Reduction Applying Dependency Measures
Chapter 38. SET: Secure and Efficient Top-k Query in Two-Tiered Wireless Sensor Networks
Chapter 39. Top-k Pattern Matching Using an Information-Theoretic Criterion over Probabilistic Data Streams
Chapter 40. Sliding Window Top-K Monitoring over Distributed Data Streams
Chapter 41. Diversified Top-k Keyword Query Interpretation on Knowledge Graphs
Chapter 42. Group Preference Queries for Location-Based Social Networks
Chapter 43. A Formal Product Search Model with Ensembled Proximity
Chapter 44. Incorporating User Preferences Across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation
Chapter 45. Joint Factorizational Topic for Cross-City Recommendation
Chapter 46. Aligning Gaussian-Topic with Embedding Network for Summarization Ranking
Chapter 47. Improving Document Clustering for Short Texts by Long Documents via a Dirichlet Multinomial Allocation Model
Chapter 48. Intensity of Relationship Between Words: Using Word Triangles in Topic Discovery for Short Texts
Chapter 49. Context-Aware Topic Modeling for Content Tracking in Social Media

Book Details

  • Title: Web and Big Data: First International Joint Conference, Part I
  • Length: 662 pages
  • Edition: 1st ed. 2017
  • Language: English
  • Publisher:
  • Publication Date: 2017-09-13
  • ISBN-10: 3319635786
  • ISBN-13: 9783319635781
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