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» Privacy in Data Mining Using Formal Methods
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110
Voted
ICDM
2010
IEEE
178views Data Mining» more  ICDM 2010»
15 years 13 days ago
Exploiting Unlabeled Data to Enhance Ensemble Diversity
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate a...
Min-Ling Zhang, Zhi-Hua Zhou
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
15 years 6 days ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki
CCS
1998
ACM
15 years 6 months ago
A Specification of Java Loading and Bytecode Verification
This paper gives a mathematical specification the Java Virtual Machine (JVM) bytecode verifier. The specification is an axiomatic description of the verifier that makes precise su...
Allen Goldberg
BTW
2009
Springer
240views Database» more  BTW 2009»
15 years 3 months ago
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
Ira Assent
124
Voted
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
15 years 7 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...