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BMCBI
2008
14 years 9 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
89
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
74
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...