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Web Technologies and Applications : APWeb 2016 Workshops, WDMA, GAP, and SDMA, Suzhou, China, September 23-25, 2016, Proceedings / edited by Atsuyuki Morishima, Rong Zhang, Wenjie Zhang, Lijun Chang, Tom Z. J Fu, Kuien Liu, Xiaoyan Yang, Jia Zhu, Zhiwei Zhang.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024)
Format:
Book
Contributor:
Morishima, Atsuyuki, editor.
Zhang, Rong, editor.
Zhang, Wenjie (Computer scientist), editor.
Chang, Lijun, editor.
Fu, Tom Z. J., editor.
Liu, Kuien, editor.
Yang, Xiaoyan, editor.
Zhu, Jia, editor.
Zhang, Zhiwei, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 9865.
Information Systems and Applications, incl. Internet/Web, and HCI ; 9865
Language:
English
Subjects (All):
Information storage and retrieval.
Application software.
Artificial intelligence.
Algorithms.
Database management.
Computers.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Database Management.
Computation by Abstract Devices.
Local Subjects:
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Database Management.
Computation by Abstract Devices.
Physical Description:
1 online resource (XIII, 324 pages) : 112 illustrations.
Edition:
First edition 2016.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of three workshops held at the 18th Asia-Pacific Web Conference, APWeb 2016, in Suzhou, China, in September 2016: the Second International Workshop on Web Data Mining and Applications, WDMA 2016, the First International Workshop on Graph Analytics and Query Processing, GAP 2016, and the First International Workshop on Spatial-temporal Data Management and Analytics, SDMA 2016. The 27 full papers included in this book were carefully reviewed and selected from 37 submissions. The goal of these workshops is to promote the new research directions and applications, especially on web data, graph data, and spatial-temporal data management and analytics. .
Contents:
Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing
A Multi-Model Based Approach for Big Data Analytics: the Case on Education Grant Distribution
Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog
EMD-DSJoin: Efficient Similarity Join over Probabilistic Data Streams Based on Earth Mover's Distance
Sentiment Analysis on User Reviews through Lexicon and Rule-based Approach
Social Link Prediction Based on the Nodes' Information Transfer
An Improved ML-kNN Approach Based on Coupled Similarity
A Novel Recommendation Method Based on User's Interest and Heterogeneous Information
Knee point-driven bottleneck detection algorithm for cloud service system
Confirmatory Analysis on Influencing Factors When Mention Users in Twitter
A stock recommendation strategy based on M-LDA model
Short-term Forecasting and Application about Indoor Cooling Load Based on EDA-PSO-BP Algorithm
Identifying Relevant Subgraphs in Large networks
User-dependent Multi-relational Community Detection in Social Networks
Compressing Streaming Graph Data Based on Triangulation
Scene Classification in High Resolution Remotely Sensed Images based on PCANet
Finding Top-k Places for Group Social Activities
Temporal Spatial-Keyword Search On Databases Using SQL
Features of Rumor Spreading on WeChat Moments
Distance-Based Continuous Skylines On Geo-Textual Data
Improving Urban Traffic Evacuation Capability in Emergency Response by Using Smart Phones
Context Enhanced Keyword Extraction for Sparse Geo-entity Relation from Web Texts
A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis
Detection of Statistically Significant Bus Delay Aggregation by Spatial-Temporal Scanning
Acquisition and Representation of Knowledge for Academic Field
Using Learning Features to Find Similar Trajectories
An Algorithm for Mining Moving Flock Patterns from Pedestrian Trajectories.
Other Format:
Printed edition:
ISBN:
978-3-319-45835-9
9783319458359
Access Restriction:
Restricted for use by site license.

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