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42nd Hawai`i International Conference of System Sciences
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Knowledge discovery for Rapid Response (KD4RR) provides new insights and understanding from data by finding, acquiring, and integrating data across the range of digital media. The need for knowledge discovery results from a tsunami of data which overwhelms the processing abilities of both humans and machines and obscures the knowledge represented within the data. This digital tsunami comes in a variety of media types, formats, languages, and disciplines, and across a growing number of interrelated problem domains.
This minitrack seeks to bring together researchers and practitioners from multiple problem domains to exchange ideas and foster discussion of new approaches and breakthroughs in knowledge discovery, particularly those than can be applied in time-sensitive rapid response environments. Knowledge Discovery for Rapid Response (KD4RR) focuses on the best response possible in time to be useful. From analysts in a variety of disciplines (intelligence, business, stock markets, etc), to firefighters in a burning building or troops sweeping a hostile urban environments, to manufacturing materials buyers or customs officers with hundreds of cars backed up, these and many others need a new kind of "satisficing" solution (best answer obtainable in the time given) as compared to an optimal solution (best answer obtainable with unlimited time and resources).
Hawaii International Conference of System Sciences (HICSS)
