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Titlebook: Web Technologies and Applications; 18th Asia-Pacific We Feifei Li,Kyuseok Shim,Guanfeng Liu Conference proceedings 2016 Springer Internatio

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Community Inference with Bayesian Non-negative Matrix Factorizationcoherent group to be one which has more links between members of the group than it has to nodes outside the group in other clusters. Detection Communities in a large network can efficiently simplify network structure, help to understand the network topology and learn how the network works..As a dime
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Top-, Temporal Keyword Query over Social Media Dataon time of items as the measurement of their recency. In this paper we propose top-. temporal keyword query that ranks data by their aggregate sum of shared times during the given time window. A query algorithm that can be executed over a general temporal inverted index is provided. The complexity a
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When a Friend Online is More Than a Friend in Life: Intimate Relationship Prediction in Microblogs one another. The rich content and user interactions on these platforms reveal insightful information about each user that are valuable for various real-life applications. In particular, user offline relationships, especially those intimate ones such as family members and couples, offer distinctive
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A Real Time Wireless Interactive Multimedia Systemof-of-concept prototype using off-the-shelf laptop and evaluate the system in a laboratory environment with standard WiFi access points. The results show that our system detects human gesture with an accuracy over 95 % and it achieves an average gesture classification accuracy of 89 % for five different users.
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Mining Co-locations from Continuously Distributed Uncertain Spatial Dataprevalence measures and the verification of the probabilistic neighborhood relationship between instances. We develop an effective probabilistic co-location mining framework integrated with optimization strategies to address the challenges. Our experiments on multiple datasets demonstrate the effectiveness of the proposed algorithm.
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A Real Time Wireless Interactive Multimedia Systemof-of-concept prototype using off-the-shelf laptop and evaluate the system in a laboratory environment with standard WiFi access points. The results show that our system detects human gesture with an accuracy over 95 % and it achieves an average gesture classification accuracy of 89 % for five different users.
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