Applying Data Mining Techniques to Address Disaster Information Management Challenges on Mobile Devices
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Description
The efficiency of sharing and managing information plays an important role in business recovery efforts after disaster event. Several critical tasks which can facilitate information sharing and collaboration between both private and public sector participants . The first issue is that reconstructing or creating information flow becomes intractable in domains. Data mining and information retrieval techniques help impacted communities better understand the current disaster situation. Techniques to efficiently discover, collect, organize, search, and disseminate real-time disaster information have become national priorities. The improvement of Crisis Management and Disaster Recovery techniques are national priorities in the wake of man-made and nature inflicted. Users are eager to find valuable information to help them understand the current disaster situation and recovery status. Data mining and information retrieval techniques help impacted communities better understand the current disaster situation and howthe community is recovering. Specifically, information extraction integrates the input data from different sources; report summarization techniques generate brief reviews from a large collection of reports at different granularities; probabilistic models support dynamically generating query forms and information dashboard based on user feedback; and community generation and user recommendation techniques are adapted to help users identify potential contacts for report sharing and community organization.
Tags: 2014, Data Mining Projects, Java