We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy databas...
Flexible and effective indexing of video data so as to render it useful in automated inference and datadriven knowledge acquisition is a key problem in knowledge engineering. In t...
Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honav...
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...