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FLAIRS
2010
15 years 2 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves
ICDE
2009
IEEE
192views Database» more  ICDE 2009»
16 years 2 months ago
Deriving Private Information from Association Rule Mining Results
Data publishing can provide enormous benefits to the society. However, due to privacy concerns, data cannot be published in their original forms. Two types of data publishing can a...
Zutao Zhu, Guan Wang, Wenliang Du
VLDB
2000
ACM
110views Database» more  VLDB 2000»
15 years 4 months ago
User-Adaptive Exploration of Multidimensional Data
In this paper we present a tool for enhanced exploration of OLAP data that is adaptive to a user's prior knowledge of the data. The tool continuously keeps track of the parts...
Sunita Sarawagi
69
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SYNTHESE
2011
86views more  SYNTHESE 2011»
14 years 7 months ago
Objective Bayesianism, Bayesian conditionalisation and voluntarism
Objective Bayesianism has been criticised on the grounds that objective Bayesian updating, which on a finite outcome space appeals to the maximum entropy principle, differs from...
Jon Williamson
ICML
2004
IEEE
15 years 6 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi