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KDD
2000
ACM
142views Data Mining» more  KDD 2000»
13 years 8 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
BMCBI
2008
204views more  BMCBI 2008»
13 years 4 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
IDA
1999
Springer
13 years 9 months ago
Knowledge-Based Visualization to Support Spatial Data Mining
Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data, analysis by means of data minin...
Gennady L. Andrienko, Natalia V. Andrienko
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
13 years 6 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
AUSAI
2005
Springer
13 years 10 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb