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KDD
2009
ACM
208views Data Mining» more  KDD 2009»
16 years 7 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
16 years 1 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 7 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
CIKM
1994
Springer
15 years 10 months ago
Using Path Information for Query Processing in Object-Oriented Database Systems
This paper argues that most queries in object-oriented databases require traversing from one object to another in the aggregation hierarchy. Thus, the connections between objects ...
Dik Lun Lee, Wang-Chien Lee
DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
14 years 10 months ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...