Since 9/11, intelligence agencies in the United States have expanded experimentation and use of data mining and analysis techniques to combat terrorism. These efforts have generat...
This paper introduces a Cellular Automata (CA) approach to spatiotemporal data mining (STDM). The recently increasing interest in using Genetic Algorithms and other evolutionary te...
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...
This paper presents a technique for recovering the high level design of legacy software systems according to user defined architectural plans. Architectural plans are represented...
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...