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» Mining top-n local outliers in large databases
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DMIN
2006
131views Data Mining» more  DMIN 2006»
14 years 10 months ago
Use of Data Mining to Determine Cheating in Online Student Assessment
are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
Alberto Ochoa, Amol Wagholikar
KDD
2006
ACM
159views Data Mining» more  KDD 2006»
15 years 9 months ago
Global distance-based segmentation of trajectories
This work introduces distance-based criteria for segmentation of object trajectories. Segmentation leads to simplification of the original objects into smaller, less complex primi...
Aris Anagnostopoulos, Michail Vlachos, Marios Hadj...
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 2 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
BMCBI
2008
182views more  BMCBI 2008»
14 years 9 months ago
MiMiR - an integrated platform for microarray data sharing, mining and analysis
Background: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges i...
Chris Tomlinson, Manjula Thimma, Stelios Alexandra...
WWW
2008
ACM
15 years 10 months ago
Spatial variation in search engine queries
Local aspects of Web search -- associating Web content and queries with geography -- is a topic of growing interest. However, the underlying question of how spatial variation is m...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar, Jasm...