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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 8 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 8 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 8 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 8 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
SIGMOD
2009
ACM
132views Database» more  SIGMOD 2009»
14 years 7 months ago
Taming the storage dragon: the adventures of hoTMaN
HoTMaN (HoT-standby MaNager) is a joint research and development project between MySpace and USC Database Laboratory to design and develop a tool to ensure a 24x7 up-time and ease...
Shahram Ghandeharizadeh, Andrew Goodney, Chetan Sh...