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Micro-blogging is increasingly extending its role from a daily chatting tool into a critical platform for individuals and organizations to seek and share real-time news updates during emergencies. However, extracting useful information from micro-blogging sites poses signicant challenges due to the volume of the trac and the presence of extensive irrelevant(More)
Modeling and detecting bursts in data streams is an important area of research with a wide range of applications. In this paper, we present a novel method to analyze and identify correlated burst patterns by considering multiple data streams that co-evolve over time. The main technical contribution of our research is the use of a dynamic probabilistic(More)
Many machine learning, statistical, and computational linguistic methods have been developed to identify sentiment of sentences in documents, yielding promising results. However, most of state-of-the-art methods focus on individual sentences and ignore the impact of context on the meaning of a sentence. In this paper, we propose a method based on(More)
Studying information diusion through social networks has become an active research topic with important implications in viral marketing applications. One of the fundamental algorithmic problems related to viral marketing is the Inuence Maximization (IM) problem: given an social network, which set of nodes should be considered by the viral marketer as the(More)
As members of the Dissertation Committee, we certify that we have read the dissertation prepared by Ping Yan entitled Spatial-temporal Data Analytics and Consumer Shopping Behavior Modeling and recommend that it be accepted as fulfilling the dissertation requirement for the Final approval and acceptance of this dissertation is contingent upon the(More)
Missing data are a major practical challenge to infectious disease informatics research and practice. In particular, despite the best data collection efforts, information concerning contact-based infections can be significantly under-reported in epidemiological surveys and interviews. In this paper, we experiment with a number of computational techniques to(More)