160
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
178
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
206
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
163
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
169
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Online stores providing subscription services need to extend user subscription periods as long as possible to increase their profits. Conventional recommendation methods recommend...
168
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
178
click to vote
KDD
2006
ACM
16 years 7 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...
203
click to vote
KDD
2006
ACM
16 years 7 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 ...
155
click to vote
KDD
2006
ACM
16 years 7 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...
184
click to vote
KDD
2006
ACM
16 years 7 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...