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» Data Mining of Multi-categorized Data
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KDD
1997
ACM
143views Data Mining» more  KDD 1997»
15 years 10 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
KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 6 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
160
Voted
KDD
2003
ACM
135views Data Mining» more  KDD 2003»
16 years 6 months ago
Efficiently handling feature redundancy in high-dimensional data
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
Lei Yu, Huan Liu
ICEIS
2009
IEEE
16 years 21 days ago
Minable Data Warehouse
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by ...
David Morgan, Jai W. Kang, James M. Kang
SIGMOD
2006
ACM
148views Database» more  SIGMOD 2006»
16 years 6 months ago
Research issues in data stream association rule mining
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Nan Jiang, Le Gruenwald