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Web Information Systems Engineering – WISE 2017

Overview of attention for book
Cover of 'Web Information Systems Engineering – WISE 2017'

Table of Contents

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    Book Overview
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    Chapter 1 A Refined Method for Detecting Interpretable and Real-Time Bursty Topic in Microblog Stream
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    Chapter 2 Connecting Targets to Tweets: Semantic Attention-Based Model for Target-Specific Stance Detection
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    Chapter 3 A Network Based Stratification Approach for Summarizing Relevant Comment Tweets of News Articles
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    Chapter 4 Interpreting Reputation Through Frequent Named Entities in Twitter
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    Chapter 5 Discovering and Tracking Active Online Social Groups
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    Chapter 6 Dynamic Relationship Building: Exploitation Versus Exploration on a Social Network
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    Chapter 7 Social Personalized Ranking Embedding for Next POI Recommendation
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    Chapter 8 Assessment of Prediction Techniques: The Impact of Human Uncertainty
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    Chapter 9 Incremental Structural Clustering for Dynamic Networks
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    Chapter 10 Extractive Summarization via Overlap-Based Optimized Picking
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    Chapter 11 Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Method
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    Chapter 12 When Will a Repost Cascade Settle Down?
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    Chapter 13 Mining Co-location Patterns with Dominant Features
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    Chapter 14 Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms
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    Chapter 15 Overlapping Communities Meet Roles and Respective Behavioral Patterns in Networks with Node Attributes
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    Chapter 16 Efficient Approximate Entity Matching Using Jaro-Winkler Distance
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    Chapter 17 Long-Term Multi-objective Task Scheduling with Diff-Serv in Hybrid Clouds
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    Chapter 18 Online Cost-Aware Service Requests Scheduling in Hybrid Clouds for Cloud Bursting
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    Chapter 19 Adaptive Deployment of Service-Based Processes into Cloud Federations
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    Chapter 20 Towards a Public Cloud Services Registry
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    Chapter 21 Location-Based Top- k Term Querying over Sliding Window
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    Chapter 22 A Kernel-Based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things
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    Chapter 23 Reliable Retrieval of Top-k Tags
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    Chapter 24 Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems
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    Chapter 25 DTRP: A Flexible Deep Framework for Travel Route Planning
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    Chapter 26 Taxi Route Recommendation Based on Urban Traffic Coulomb’s Law
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    Chapter 27 Efficient Order-Sensitive Activity Trajectory Search
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    Chapter 28 Time Series Classification by Modeling the Principal Shapes
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    Chapter 29 Effective Caching of Shortest Travel-Time Paths for Web Mapping Mashup Systems
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    Chapter 30 Discovering Hierarchical Subgraphs of K-Core-Truss
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    Chapter 31 Efficient Subgraph Matching on Non-volatile Memory
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    Chapter 32 Influenced Nodes Discovery in Temporal Contact Network
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    Chapter 33 Tracking Clustering Coefficient on Dynamic Graph via Incremental Random Walk
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    Chapter 34 Event Cube – A Conceptual Framework for Event Modeling and Analysis
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    Chapter 35 Cross-Domain and Cross-Modality Transfer Learning for Multi-domain and Multi-modality Event Detection
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    Chapter 36 Determining Repairing Sequence of Inconsistencies in Content-Related Data
Overall attention for this book and its chapters
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Mentioned by

news
1 news outlet

Citations

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1 Dimensions

Readers on

mendeley
48 Mendeley
Summary News Dimensions citations
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Title
Web Information Systems Engineering – WISE 2017
Published by
Springer International Publishing, October 2017
DOI 10.1007/978-3-319-68783-4
ISBNs
978-3-31-968782-7, 978-3-31-968783-4
Editors

Bouguettaya, Athman, Gao, Yunjun, Klimenko, Andrey, Chen, Lu, Zhang, Xiangliang, Dzerzhinskiy, Fedor, Jia, Weijia, Klimenko, Stanislav V., Li, Qing

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 6%
Student > Doctoral Student 2 4%
Student > Bachelor 1 2%
Student > Ph. D. Student 1 2%
Researcher 1 2%
Other 0 0%
Unknown 40 83%
Readers by discipline Count As %
Computer Science 2 4%
Business, Management and Accounting 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Economics, Econometrics and Finance 1 2%
Social Sciences 1 2%
Other 0 0%
Unknown 42 88%

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