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KDD
1997
ACM
143views Data Mining» more  KDD 1997»
13 years 9 months ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
13 years 9 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
KDD
2003
ACM
195views Data Mining» more  KDD 2003»
14 years 5 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 5 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
GIS
2008
ACM
14 years 6 months ago
GEDMWA: geospatial exploratory data mining web agent
An abundance of geospatial information is flourishing on the Internet but mining and disseminating these data is a daunting task. With anything published on the web available to t...
Edward Pultar, Martin Raubal, Michael F. Goodchild