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» Phenomenal Data Mining: From Data to Phenomena
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ASC
2008
13 years 9 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
ICDM
2009
IEEE
143views Data Mining» more  ICDM 2009»
14 years 3 months ago
An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners
Abstract—Data sanitization has been used to restrict reidentification of individuals and disclosure of sensitive information from published data. We propose an attack on the pri...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
EDM
2008
288views Data Mining» more  EDM 2008»
13 years 10 months ago
Data Mining Algorithms to Classify Students
In this paper we compare different data mining methods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective cou...
Cristóbal Romero, Sebastián Ventura,...
JCIT
2008
108views more  JCIT 2008»
13 years 9 months ago
Data Mining for Genetics: A Genetic Algorithm Approach
MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computat...
G. Madhu, Keshava Reddy
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao