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» Mining Very Large Databases
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SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
14 years 7 months ago
Grammar Mining.
We introduce the problem of grammar mining, where patterns are context-free grammars, as a generalization of a large number of common pattern mining tasks, such as tree, sequence ...
Luc De Raedt, Siegfried Nijssen
MSR
2010
ACM
14 years 3 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
CIVR
2009
Springer
583views Image Analysis» more  CIVR 2009»
14 years 10 months ago
Mining from Large Image Sets
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
VLDB
1994
ACM
140views Database» more  VLDB 1994»
14 years 2 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han