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Integration of Heterogeneous Databases: Discovery of Meta-Information and Maintenance of Schema-Restructuring Views
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Managing Schema Change in an Heterogeneous Environment
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Semantic Caching for XML Queries
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Scalable Integration View Computation and Maintenance with Parallel, Adaptive and Grouping Techniques
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Efficient Incremental View Maintenance for Data Warehousing
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Automaton Meet Algebra: A Hybrid Paradigm for Efficiently Processing XQuery over XML Stream
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Graphical Data Mining for Computational Estimation in Materials Science Applications
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Dynamic Optimization and Migration of Continuous Queries Over Data Streams
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Updating XML Views
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Incremental Maintenance Of Materialized XQuery Views
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State-Slice: A New Stream Query Optimization Paradigm for Multi-query and Distributed Processing
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Metadata-Aware Query Processing over Data Streams
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Mining and Managing Neighbor-Based Patterns in Data Streams
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Continuously Providing Approximate Results under Limited Resources: Load Shedding and Spilling in XML Streams
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Extending Event Sequence Processing:New Models and Optimization Techniques
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Extending Complex Event Processing for Advanced Applications
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Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources
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A Model-driven Visual Analytic Framework for Local Pattern Analysis
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Targeted Prioritized Processing in Overloaded Data Stream Systems
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Outlier Detection In Big Data
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Recurring Query Processing on Big Data
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Pattern Mining and Sense-Making Support for Enhancing the User Experience
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Event stream analytics
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Deep Learning on Attributed Sequences
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Sequential Data Mining and its Applications to Pharmacovigilance
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Time Series Data Analytics
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Contextual Outlier Detection from Heterogeneous Data Sources
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Ranking for Decision Making: Fairness and Usability
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Attention-based Deep Learning Models for Text Classification and their Interpretability
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Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
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Automatic Emotion Detection in Text Messages using Supervised Learning
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Visual Analytics for Smartphone Health Phenotyping
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Big Time Series Analytics Using a Distributed Infrastructure
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Frequent Pattern Mining Analytics
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