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AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
15 years 4 months ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
HICSS
2005
IEEE
135views Biometrics» more  HICSS 2005»
15 years 6 months ago
The Rules of Virtual Groups
Concerns about virtual groups include how members develop trust and liking for partners. Previous studies have explored behavioral variables leading to subjectively-experienced tr...
Joseph B. Walther, Ulla Bunz, Natalia N. Bazarova
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
17 years 5 days ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
117
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CIDM
2007
IEEE
15 years 4 months ago
Mining the Students' Learning Interest in Browsing Web-Streaming Lectures
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
Long Wang 0002, Christoph Meinel
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 5 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...