Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the...
Abstract. While extensive e orts have been devoted to the development of e cient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integrat...
Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Ps...
This paper describes a highly mobile collaborative patient-centric, self-monitoring, symptom recognition and self intervention system along with a complementary clinical nursing t...
We show that the e-commerce domain can provide all the right ingredients for successful data mining. We describe an integrated architecture for supporting this integration. The ar...
Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zhen...
Recent work in data integration has shown the importance of statistical information about the coverage and overlap of data sources for efficient query processing. Gathering and s...