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» Benchmarking Data Mining Algorithms
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157
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HIPC
2009
Springer
15 years 12 days ago
Integrating and optimizing transactional memory in a data mining middleware
As the size of available datasets in various domains is growing rapidly, there is an increasing need for scaling data mining implementations. Coupled with the current trends in co...
Vignesh T. Ravi, Gagan Agrawal
139
Voted
PODS
2003
ACM
156views Database» more  PODS 2003»
16 years 2 months ago
Limiting privacy breaches in privacy preserving data mining
There has been increasing interest in the problem of building accurate data mining models over aggregate data, while protecting privacy at the level of individual records. One app...
Alexandre V. Evfimievski, Johannes Gehrke, Ramakri...
128
Voted
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 18 days ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
101
Voted
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
16 years 3 months ago
Partial example acquisition in cost-sensitive learning
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Victor S. Sheng, Charles X. Ling
135
Voted
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 3 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti