168
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
165
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
180
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
186
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
This work introduces distance-based criteria for segmentation of object trajectories. Segmentation leads to simplification of the original objects into smaller, less complex primi...
191
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
156
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
An effective approach to detect anomalous points in a data set is distance-based outlier detection. This paper describes a simple sampling algorithm to efficiently detect distance...
198
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
192
click to vote
KDD
2006
ACM
16 years 7 months ago
2006
ACM
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
