Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
In this demonstration, we show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager Con...
Michael Gebhardt, Matthias Jarke, Manfred A. Jeusf...
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, ...
This paper presents our hybrid architectural model for Distributed Data Mining (DDM) which is tailored to meet the needs of e-businesses where application service providers sell D...
Shonali Krishnaswamy, Arkady B. Zaslavsky, Seng Wa...
On-Line Analytical Processing (OLAP) systems based on a multidimensional view of data have found widespread use in business applications and are being used increasingly in non-sta...