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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
14 years 9 months ago
Model compression
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
KDD
2005
ACM
142views Data Mining» more  KDD 2005»
14 years 9 months ago
Towards exploratory test instance specific algorithms for high dimensional classification
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
Charu C. Aggarwal
KDD
1997
ACM
128views Data Mining» more  KDD 1997»
14 years 1 months ago
An Interactive Visualization Environment for Data Exploration
Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
Mark Derthick, John Kolojejchick, Steven F. Roth
KDD
2002
ACM
152views Data Mining» more  KDD 2002»
14 years 9 months ago
Multimedia Data Mining Framework For Raw Video Sequences
In this paper, we propose a general framework for real time video data mining to be applied to the raw videos (traffic videos, surveillance videos, etc.). We investigate whether t...
Jung-Hwan Oh, Babitha Bandi
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
14 years 9 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...