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» Privacy and Data Mining: New Developments and Challenges
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PVLDB
2008
82views more  PVLDB 2008»
14 years 9 months ago
Mining non-redundant high order correlations in binary data
Many approaches have been proposed to find correlations in binary data. Usually, these methods focus on pair-wise correlations. In biology applications, it is important to find co...
Xiang Zhang, Feng Pan, Wei Wang 0010, Andrew B. No...
AUSDM
2007
Springer
131views Data Mining» more  AUSDM 2007»
15 years 3 months ago
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
Alva Erwin, Raj P. Gopalan, N. R. Achuthan
MSR
2010
ACM
15 years 2 months ago
The Ultimate Debian Database: Consolidating bazaar metadata for Quality Assurance and data mining
—FLOSS distributions like RedHat and Ubuntu require a lot more complex infrastructures than most other FLOSS projects. In the case of community-driven distributions like Debian, ...
Lucas Nussbaum, Stefano Zacchiroli
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
15 years 4 months ago
Mining Order-Preserving Submatrices from Data with Repeated Measurements
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...
Chun Kit Chui, Ben Kao, Kevin Y. Yip, Sau Dan Lee
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
15 years 7 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar