This report summarizes the First International Workshop on Novel Data Stream Pattern Mining held at the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mi...
Margaret H. Dunham, Michael Hahsler, Myra Spiliopo...
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Abstract—We present an extended version of a software system SIGHTS1 (Statistical Identification of Groups Hidden in Time and Space), which can be used for the discovery, analys...
Jeffrey Baumes, Mark K. Goldberg, Mykola Hayvanovy...
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...