Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
The increasingly prominent new subset of Web pages, called `blogs' differs from traditional Web pages both in characteristics and potential to applications. We explore three ...
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
The paper discusses our research in development of general and systematic methods for intrusion prevention. The key idea is to use data mining techniques to discover repeated patt...