Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Abstract. We investigate the problem of finding frequent patterns in a continuous stream of transactions. It is recognized that the approximate solutions are usually sufficient and...
We consider the problem of constructing decision trees for entity identification from a given table. The input is a table containing information about a set of entities over a fi...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Samb...
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...