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Modeling User Behaviors in Online Systems and Ubiquitous Devices
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Frequent Pattern Mining Analytics
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Big Time Series Analytics Using a Distributed Infrastructure
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Making Sense of Human-generated Spatial-temporal Data from Urban Environment
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Contextual Outlier Detection from Heterogeneous Data Sources
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Detecting Various Types of Malicious Users at One Sitting in Online Social Networks
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Sequential Data Mining and its Applications to Pharmacovigilance
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Deep Learning on Attributed Sequences
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Event stream analytics
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Pattern Mining and Sense-Making Support for Enhancing the User Experience
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