319 search results - page 17 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
CMG
2001
14 years 11 months ago
2001
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
EUROPAR
2001
Springer
15 years 2 months ago
2001
Springer
Discovery of sequential patterns is becoming increasingly useful and essential in many scienti c and commercial domains. Enormous sizes of available datasets and possibly large nu...
114
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KDD
2012
ACM
13 years 11 days ago
2012
ACM
Advanced technology in GPS and sensors enables us to track physical events, such as human movements and facility usage. Periodicity analysis from the recorded data is an important...
106
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
TKDE
2008
14 years 9 months ago
2008
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...