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KDD
1997
ACM
120views Data Mining» more  KDD 1997»
13 years 11 months ago
Discovering Trends in Text Databases
We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting...
Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant
BMCBI
2007
176views more  BMCBI 2007»
13 years 7 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 7 months ago
Mining quantitative correlated patterns using an information-theoretic approach
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...
Yiping Ke, James Cheng, Wilfred Ng
HIPC
1999
Springer
13 years 11 months ago
High Performance Data Mining
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
Vipin Kumar, Jaideep Srivastava
WWW
2004
ACM
14 years 8 months ago
Visual web mining
Analysis of web site usage data involves two significant challenges: firstly the volume of data, arising from the growth of the web, and secondly, the structural complexity of web...
Amir H. Youssefi, David J. Duke, Mohammed Javeed Z...