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Web Information Systems Engineering – WISE 2015

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Cover of 'Web Information Systems Engineering – WISE 2015'

Table of Contents

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    Book Overview
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    Chapter 1 Grouping Product Aspects from Short Texts Using Multiple Classifiers
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    Chapter 2 Time-Dependent Popular Routes Based Trajectory Outlier Detection
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    Chapter 3 Temporally Enhanced Ontologies in OWL: A Shared Conceptual Model and Reference Implementation
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    Chapter 4 HV: A Feature Based Method for Trajectory Dataset Profiling
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    Chapter 5 A Dynamically Extensible Open Cross-Document Link Service
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    Chapter 6 Twitter Sarcasm Detection Exploiting a Context-Based Model
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    Chapter 7 Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search
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    Chapter 8 GraSS: An Efficient Method for RDF Subgraph Matching
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    Chapter 9 Web Information Systems Engineering – WISE 2015
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    Chapter 10 Time-Sensitive Topic Derivation in Twitter
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    Chapter 11 OSCAR: OpenStreetMap Planet at Your Fingertips via OSm Cell ARrangements
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    Chapter 12 Creating Diverse Product Review Summaries: A Graph Approach
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    Chapter 13 Implicit Trust and Distrust Prediction for Recommender Systems
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    Chapter 14 Web Information Systems Engineering – WISE 2015
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    Chapter 15 An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions
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    Chapter 16 EPC Graph Information Service
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    Chapter 17 A Mashup Architecture with Modeling and Simulation as a Service
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    Chapter 18 Temporal PageRank on Social Networks
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    Chapter 19 Improving Marketing Interactions by Mining Sequences
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    Chapter 20 A Majority of Wrongs Doesn’t Make It Right - On Crowdsourcing Quality for Skewed Domain Tasks
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    Chapter 21 Modelling Processes of Big Data Analytics
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    Chapter 22 WISEngineering: Achieving Scalability and Extensibility in Massive Online Learning
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    Chapter 23 A Non-parametric Approach to the Multi-channel Attribution Problem
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    Chapter 24 A Dynamic-Static Approach of Model Fusion for Document Similarity Computation
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    Chapter 25 Genetic-Based Approach for ATS and SLA-aware Web Services Composition
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    Chapter 26 Crawling Ranked Deep Web Data Sources
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    Chapter 27 Influence Maximization in Signed Social Networks
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    Chapter 28 Analyzing File-to-File Relation Network in Malware Detection
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    Chapter 29 Similarity-Based Context-Aware Recommendation
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    Chapter 30 ECS: A Framework for Diversified and Relevant Search in the Internet of Things
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    Chapter 31 Sense and Focus: Towards Effective Location Inference and Event Detection on Twitter
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    Chapter 32 A Hybrid Feature Selection Method for Predicting User Influence on Twitter
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    Chapter 33 Classifying Perspectives on Twitter: Immediate Observation, Affection, and Speculation
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    Chapter 34 Evaluating k Nearest Neighbor Query on Road Networks with no Information Leakage
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    Chapter 35 Similarity Search over Personal Process Description Graph
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    Chapter 36 A Multilingual Approach to Discover Cross-Language Links in Wikipedia
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    Chapter 37 Adaptive Focused Crawling of Linked Data
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    Chapter 38 Trust-Based Coalition Formation for Dynamic Service Composition in Social Networks
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    Chapter 39 Towards a Burglary Risk Profiler Using Demographic and Spatial Factors
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    Chapter 40 Extract Knowledge About Geo-Location Using Context and Content Information of Geo-Tagged Social Media
Overall attention for this book and its chapters
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Title
Web Information Systems Engineering – WISE 2015
Published by
Springer International Publishing, October 2015
DOI 10.1007/978-3-319-26190-4
ISBNs
978-3-31-926189-8, 978-3-31-926190-4
Editors

Wang, Jianyong, Cellary, Wojciech, Wang, Dingding, Wang, Hua, Chen, Shu-Ching, Li, Tao, Zhang, Yanchun

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 2 <1%
Malaysia 2 <1%
Brazil 2 <1%
Netherlands 1 <1%
Pakistan 1 <1%
Ireland 1 <1%
Italy 1 <1%
Ecuador 1 <1%
Other 9 4%
Unknown 198 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 29%
Student > Master 52 24%
Student > Bachelor 22 10%
Student > Doctoral Student 17 8%
Researcher 16 7%
Other 38 17%
Unknown 11 5%
Readers by discipline Count As %
Computer Science 147 67%
Business, Management and Accounting 14 6%
Engineering 13 6%
Social Sciences 11 5%
Agricultural and Biological Sciences 2 <1%
Other 16 7%
Unknown 18 8%