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Information Technology: New Generations, Third International Conference on (2006)
Las Vegas, Nevada
Apr. 10, 2006 to Apr. 12, 2006
ISBN: 0-7695-2497-4
pp: 707-712
Pengyue J. Lin , University of California, Riverside
Behrokh Samadi , Lucent Technologies
Alan Cipolone , Bell Laboratories
Daniel R. Jeske , University of California, Riverside
Sean Cox , University of California, Riverside
Carlos Rend? , University of California, Riverside
Douglas Holt , University of California, Riverside
Rui Xiao , University of California, Riverside
Data mining research has yielded many significant and useful results such as discovering consumer-spending habits, detecting credit card fraud, and identifying anomalous social behavior. Information Discovery and Analysis Systems (IDAS) extract information from multiple sources of data and use data mining methodologies to identify potential significant events and relationships. This research designed and developed a tool called IDAS Data and Scenario Generator (IDSG) to facilitate the creation, testing and training of IDAS. IDSG focuses on building a synthetic data generation engine powerful and flexible enough to generate synthetic data based on complex semantic graphs.
Client-Server, Data Generation, Data Mining, Java, Semantic Gra[j

B. Samadi et al., "Development of a Synthetic Data Set Generator for Building and Testing Information Discovery Systems," Information Technology: New Generations, Third International Conference on(ITNG), Las Vegas, Nevada, 2006, pp. 707-712.
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