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Web Information Systems Engineering – WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I

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Cover of 'Web Information Systems Engineering – WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I'

Table of Contents

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    Book Overview
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    Chapter 1 Coupled Item-Based Matrix Factorization
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    Chapter 2 A Lot of Slots – Outliers Confinement in Review-Based Systems
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    Chapter 3 A Unified Model for Community Detection of Multiplex Networks
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    Chapter 4 Mining Domain-Specific Dictionaries of Opinion Words
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    Chapter 5 A Community Detection Algorithm Based on the Similarity Sequence
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    Chapter 6 A Self-learning Clustering Algorithm Based on Clustering Coefficient
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    Chapter 7 Detecting Hierarchical Structure of Community Members by Link Pattern Expansion Method
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    Chapter 8 An Effective TF/IDF-Based Text-to-Text Semantic Similarity Measure for Text Classification
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    Chapter 9 Automatically Annotating Structured Web Data Using a SVM-Based Multiclass Classifier
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    Chapter 10 Web Information Systems Engineering – WISE 2014
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    Chapter 11 Modelling Visit Similarity Using Click-Stream Data: A Supervised Approach
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    Chapter 12 Web Information Systems Engineering – WISE 2014
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    Chapter 13 Phrase Queries with Inverted + Direct Indexes
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    Chapter 14 Ranking Based Activity Trajectory Search
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    Chapter 15 Web Information Systems Engineering – WISE 2014
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    Chapter 16 A Decremental Search Approach for Large Scale Dynamic Ridesharing
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    Chapter 17 Model-Based Search and Ranking of Web APIs across Multiple Repositories
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    Chapter 18 Common Neighbor Query-Friendly Triangulation-Based Large-Scale Graph Compression
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    Chapter 19 Continuous Monitoring of Top-k Dominating Queries over Uncertain Data Streams
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    Chapter 20 Keyword Search over Web Documents Based on Earth Mover’s Distance
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    Chapter 21 iPoll: Automatic Polling Using Online Search
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    Chapter 22 Comparing the Predictive Capability of Social and Interest Affinity for Recommendations
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    Chapter 23 End-User Browser-Side Modification of Web Pages
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    Chapter 24 Mobile Phone Recommendation Based on Phone Interest
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    Chapter 25 Two Approaches to the Dataset Interlinking Recommendation Problem
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    Chapter 26 Exploiting Perceptual Similarity: Privacy-Preserving Cooperative Query Personalization
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    Chapter 27 Identifying Explicit Features for Sentiment Analysis in Consumer Reviews
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    Chapter 28 Facet Tree for Personalized Web Documents Organization
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    Chapter 29 Mobile Web User Behavior Modeling
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    Chapter 30 Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis
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    Chapter 31 Web Information Systems Engineering – WISE 2014
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    Chapter 32 A Genetic Programming Approach for Learning Semantic Information Extraction Rules from News
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    Chapter 33 Ontology-Based Management of Conflicting Products in Pixel Advertising
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    Chapter 34 Exploiting Semantic Result Clustering to Support Keyword Search on Linked Data
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    Chapter 35 Discovering Semantic Mobility Pattern from Check-in Data
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    Chapter 36 An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic Planners
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    Chapter 37 Agents, Models and Semantic Integration in Support of Personal eHealth Knowledge Spaces
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    Chapter 38 Probabilistic Associations as a Proxy for Semantic Relatedness
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    Chapter 39 A Hybrid Model for Learning Semantic Relatedness Using Wikipedia-Based Features
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    Chapter 40 An Ontology-Based Approach for Product Entity Resolution on the Web
Overall attention for this book and its chapters
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Title
Web Information Systems Engineering – WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-11749-2
ISBNs
978-3-31-911748-5, 978-3-31-911749-2
Editors

Benatallah, Boualem, Zhang, Yanchun, Vakali, Athena, Manolopoulos, Yannis, Bestavros, Azer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Unknown 4 67%
Readers by discipline Count As %
Computer Science 2 33%
Unknown 4 67%