KDD
2006
ACM
14 years 4 months ago
2006
ACM
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
In this paper, we discuss a prototype application deployed at the U.S. National Science Foundation for assisting program directors in identifying reviewers for proposals. The appl...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
KDD
2006
ACM
14 years 4 months ago
2006
ACM
KDD
2006
ACM
14 years 4 months ago
2006
ACM
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
Ordering and ranking items of different types are important tasks in various applications, such as query processing and scientific data mining. A total order for the items can be ...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
KDD
2006
ACM
14 years 4 months ago
2006
ACM
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based deve...