In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
A well-known challenge in data warehousing is the efficient incremental maintenance of warehouse data in the presence of source data updates. In this paper, we identify several cr...
Wilburt Labio, Jun Yang 0001, Yingwei Cui, Hector ...
Since the early 1970s, decision support systems (DSS) have evolved significantly. In this paper, the design and implementation of MSMiner, a developing platform for DSS, is introd...
Zhongzhi Shi, Youping Huang, Qing He, Li Da Xu, Sh...
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
While current search engines seem to easily handle the size of the data available on the Internet, they cannot provide fresh results. The most up-to-date data always resides on the...
Leonidas Galanis, Yuan Wang, Shawn R. Jeffery, Dav...