: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Abstract—Data sanitization has been used to restrict reidentification of individuals and disclosure of sensitive information from published data. We propose an attack on the pri...
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computat...
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...