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» Massive Data Pre-Processing with a Cluster Based Approach
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PAKDD
1998
ACM
103views Data Mining» more  PAKDD 1998»
15 years 8 months ago
Discovering Case Knowledge Using Data Mining
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 5 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
15 years 11 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
Marek Lipczak, Evangelos E. Milios
MSS
2007
IEEE
82views Hardware» more  MSS 2007»
15 years 10 months ago
Tornado Codes for MAID Archival Storage
This paper examines the application of Tornado Codes, a class of low density parity check (LDPC) erasure codes, to archival storage systems based on massive arrays of idle disks (...
Matthew Woitaszek, Henry M. Tufo
IJIT
2004
15 years 5 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...