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IPPS
1998
IEEE
15 years 10 months ago
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets
In this paper, we present ScalParC (Scalable Parallel Classifier), a new parallel formulation of a decision tree based classification process. Like other state-of-the-art decision...
Mahesh V. Joshi, George Karypis, Vipin Kumar
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 7 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
EUSFLAT
2007
129views Fuzzy Logic» more  EUSFLAT 2007»
15 years 8 months ago
Advanced Inference in Fuzzy Systems by Rule Base Compression
This paper describes a method for formal compression of fuzzy systems. This method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system ...
Alexander Gegov, Neelamugilan Gobalakrishnan
KDD
2012
ACM
243views Data Mining» more  KDD 2012»
13 years 9 months ago
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...
PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
16 years 3 hour ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni