PAKDD
2010
ACM
13 years 5 months ago
2010
ACM
Data mining tasks results are usually improved by reducing the dimensionality of data. This improvement however is achieved harder in the case that data lay on a non linear manifol...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
INCDM
2010
Springer
13 years 5 months ago
2010
Springer
In this paper we report on a study on feature selection within the minimum
IKE
2010
13 years 5 months ago
2010
Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the pr...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Targeting advertising on television is difficult due to limitations around ad tracking and ad delivery. This paper describes a new method of television advertising which can work w...