167
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
An organization makes a new release as new information become available, releases a tailored view for each data request, releases sensitive information and identifying information...
189
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
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...
129
Voted
KDD
2006
ACM
16 years 7 months ago
2006
ACM
195
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
176
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
185
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
199
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
199
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
209
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
This panel will discuss possible exciting and motivating Grand Challenge problems for Data Mining, focusing on bioinformatics, multimedia mining, link mining, text mining, and web...