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» Detecting Connection-Chains: A Data Mining Approach
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ASC
2008
13 years 7 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
ICRA
2010
IEEE
128views Robotics» more  ICRA 2010»
13 years 6 months ago
On optimal AUV track-spacing for underwater mine detection
— This work addresses the task of designing the optimal survey route that an autonomous underwater vehicle (AUV) should take in mine countermeasures (MCM) operations. It is assum...
David P. Williams
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
11 years 10 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
KDD
2004
ACM
195views Data Mining» more  KDD 2004»
14 years 8 months ago
Improved robustness of signature-based near-replica detection via lexicon randomization
Detection of near duplicate documents is an important problem in many data mining and information filtering applications. When faced with massive quantities of data, traditional d...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
14 years 8 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...