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198
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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 10 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
KDD
2004
ACM
125views Data Mining» more  KDD 2004»
16 years 7 months ago
Differential Association Rule Mining for the Study of Protein-Protein Interaction Networks
Protein-protein interactions are of great interest to biologists. A variety of high-throughput techniques have been devised, each of which leads to a separate definition of an int...
Christopher Besemann, Anne Denton, Ajay Yekkirala,...
152
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ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
16 years 1 months ago
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
—The recent interest in outsourcing IT services onto the cloud raises two main concerns: security and cost. One task that could be outsourced is data mining. In VLDB 2007, Wong e...
Ian Molloy, Ninghui Li, Tiancheng Li
209
Voted
WPES
2003
ACM
16 years 3 days ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
15 years 8 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...