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» Discovering Interesting Holes in Data
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100
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VLDB
2004
ACM
115views Database» more  VLDB 2004»
15 years 3 months ago
Semantic Mining and Analysis of Gene Expression Data
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Ant...
75
Voted
HIS
2003
14 years 11 months ago
Data Mining of Web Access Logs From an Academic Web Site
We have used a general purpose data mining tool to determine whether we can find any ‘golden nuggets’ in the web access logs of a large academic web site. Our goal was to use...
Victor Ciesielski, A. Lalani
BMCBI
2005
118views more  BMCBI 2005»
14 years 10 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
85
Voted
IV
2010
IEEE
150views Visualization» more  IV 2010»
14 years 8 months ago
A 3D Visualization Technique for Large Scale Time-Varying Data
We represent time-varying data as polyline charts very often. At the same time, we often need to observe hundreds or even thousands of time-varying values in one chart. However, i...
Maiko Imoto, Takayuki Itoh
100
Voted
CORR
2010
Springer
186views Education» more  CORR 2010»
14 years 10 months ago
Significant Interval and Frequent Pattern Discovery in Web Log Data
There is a considerable body of work on sequence mining of Web Log Data We are using One Pass frequent Episode discovery (or FED) algorithm, takes a different approach than the tr...
Kanak Saxena, Rahul Shukla