With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
Abstract. Policies, sets of rules that govern permission to access resources, have long been used in computer security and online privacy management; however, the usability of auth...
Robert W. Reeder, Clare-Marie Karat, John Karat, C...
This paper introduces the application of data mining methods to the analysis and prediction of the typhoon. The testbed for this research is the typhoon image collection that we e...