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» Benchmarking Data Mining Algorithms
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148
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ACMMSP
2005
ACM
101views Hardware» more  ACMMSP 2005»
15 years 10 months ago
Transparent pointer compression for linked data structures
64-bit address spaces are increasingly important for modern applications, but they come at a price: pointers use twice as much memory, reducing the effective cache capacity and m...
Chris Lattner, Vikram S. Adve
SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
16 years 2 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
DATAMINE
2006
89views more  DATAMINE 2006»
15 years 5 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh
KDD
2007
ACM
198views Data Mining» more  KDD 2007»
16 years 5 months ago
Applying Link-Based Classification to Label Blogs
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
Smriti Bhagat, Graham Cormode, Irina Rozenbaum
136
Voted
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 10 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...