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Web-Age Information Management

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Cover of 'Web-Age Information Management'

Table of Contents

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    Book Overview
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    Chapter 1 Predicting Popularity of Microblogs in Emerging Disease Event
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    Chapter 2 A Cross-Simulation Method for Large-Scale Traffic Evacuation with Big Data
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    Chapter 3 Detecting Fake Reviews of Hype About Restaurants by Sentiment Analysis
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    Chapter 4 Where to Find Help When You Are in an Emergency?
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    Chapter 5 Keyword-Based Semantic Analysis of Microblog for Public Opinion Study in Online Collective Behaviors
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    Chapter 6 Research on Reasoning Model of Firefighting and Rescue Cases
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    Chapter 7 Empirical Study of Online Public Opinion Index Prediction on Real Accidents Data
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    Chapter 8 Public Opinion Analysis and Crisis Response in Mass Incidents: A Case Study of a Flight Delay Event in China
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    Chapter 9 An Effective Method to Detect People in Danger
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    Chapter 10 Structured and Quantitative Research on Scenario of Firefighting and Rescue Cases
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    Chapter 11 A Cross-Reasoning Method for Scenario Awareness and Decision-Making Support in Earthquake Emergency Response
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    Chapter 12 PM2.5 Air Quality Index Prediction Using an Ensemble Learning Model
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    Chapter 13 Cloud Service-Oriented Modeling and Simulation of Regional Crowd Evacuation in Emergency
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    Chapter 14 Strategy Study on Mass Evacuation with LBS Information
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    Chapter 15 Online Social Network as a Powerful Tool to Identify Experts for Emergency Management
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    Chapter 16 Wear-Aware Algorithms for PCM-Based Database Buffer Pools
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    Chapter 17 Accelerate K-means Algorithm by Using GPU in the Hadoop Framework
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    Chapter 18 An Efficient Hybrid Index Structure for Temporal Marine Data
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    Chapter 19 On Massive Spatial Data Retrieval Based on Spark
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    Chapter 20 HDStore: An SSD/HDD Hybrid Distributed Storage Scheme for Large-Scale Data
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    Chapter 21 Rating Aware Route Planning in Road Networks
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    Chapter 22 Optimal RSUs Deployment in Vehicular Networks
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    Chapter 23 Cache-Aware Query Processing with User Privacy Protection in Location-Based Services
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    Chapter 24 A Review of Factors Affecting Recommender Decisions in Social Networks for Educational Purposes
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    Chapter 25 Exploring Arduino for Building Educational Context-Aware Recommender Systems that Deliver Affective Recommendations in Social Ubiquitous Networking Environments
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    Chapter 26 The Ethics of a Recommendation System
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    Chapter 27 The Negative Effects of ‘Too Accurate’ Recommendation Results: A Pilot Study of the Effects of Search Engine Overuse on Chinese Students
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    Chapter 28 Supporting Growers with Recommendations in RedVides: Some Human Aspects Involved
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    Chapter 29 Geographical Information in a Multi-domain Recommender System
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    Chapter 30 Hashtag Recommendation Based on User Tweet and Hashtag Classification on Twitter
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    Chapter 31 Business Ecosystem and Ecosystem of Big Data
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    Chapter 32 Using Big Data Strategy for the Development of the Communication Industry
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    Chapter 33 A Data Model for Object-Based Seamless Digital Map Using Digital Map 2.0
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    Chapter 34 Parallel Gene Clustering Using MapReduce
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    Chapter 35 An Efficient Patent Storing Mechanism Based on SQLite on Hadoop Platform
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    Chapter 36 Considering Rating as Probability Distribution of Attitude in Recommender System
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    Chapter 37 On Computing Similarity in Academic Literature Data: Methods and Evaluation
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    Chapter 38 Ranking People by Integrating Professional Capability, Sociability and Time Decaying Effect
Overall attention for this book and its chapters
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Title
Web-Age Information Management
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-11538-2
ISBNs
978-3-31-911537-5, 978-3-31-911538-2
Editors

Yueguo Chen, Wolf-Tilo Balke, Jianliang Xu, Wei Xu, Peiquan Jin, Xin Lin, Tiffany Tang, Eenjun Hwang

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X Demographics

The data shown below were collected from the profile of 1 X user 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Ireland 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Student > Master 6 14%
Researcher 5 12%
Student > Bachelor 3 7%
Other 3 7%
Other 9 21%
Unknown 8 19%
Readers by discipline Count As %
Computer Science 15 36%
Engineering 7 17%
Social Sciences 6 14%
Business, Management and Accounting 2 5%
Physics and Astronomy 1 2%
Other 3 7%
Unknown 8 19%