Web Technologies and Applications APWeb 2016 Workshops, WDMA, GAP, and SDMA, Suzhou, China, September 23-25, 2016, Proceedings /

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 Q...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Morishima, Atsuyuki (Επιμελητής έκδοσης), Zhang, Rong (Επιμελητής έκδοσης), Zhang, Wenjie (Επιμελητής έκδοσης), Chang, Lijun (Επιμελητής έκδοσης), Fu, Tom Z. J. (Επιμελητής έκδοσης), Liu, Kuien (Επιμελητής έκδοσης), Yang, Xiaoyan (Επιμελητής έκδοσης), Zhu, Jia (Επιμελητής έκδοσης), Zhang, Zhiwei (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Lecture Notes in Computer Science, 9865
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Web Technologies and Applications  |h [electronic resource] :  |b APWeb 2016 Workshops, WDMA, GAP, and SDMA, Suzhou, China, September 23-25, 2016, Proceedings /  |c edited by Atsuyuki Morishima, Rong Zhang, Wenjie Zhang, Lijun Chang, Tom Z. J Fu, Kuien Liu, Xiaoyan Yang, Jia Zhu, Zhiwei Zhang. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XIII, 324 p. 112 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 9865 
505 0 |a 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. 
520 |a 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. . 
650 0 |a Computer science. 
650 0 |a Computers. 
650 0 |a Algorithms. 
650 0 |a Database management. 
650 0 |a Information storage and retrieval. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Information Storage and Retrieval. 
650 2 4 |a Information Systems Applications (incl. Internet). 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Database Management. 
650 2 4 |a Computation by Abstract Devices. 
700 1 |a Morishima, Atsuyuki.  |e editor. 
700 1 |a Zhang, Rong.  |e editor. 
700 1 |a Zhang, Wenjie.  |e editor. 
700 1 |a Chang, Lijun.  |e editor. 
700 1 |a Fu, Tom Z. J.  |e editor. 
700 1 |a Liu, Kuien.  |e editor. 
700 1 |a Yang, Xiaoyan.  |e editor. 
700 1 |a Zhu, Jia.  |e editor. 
700 1 |a Zhang, Zhiwei.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319458342 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 9865 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-45835-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (Springer-11645)