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» Interestingness measures for data mining: A survey
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NOMS
2002
IEEE
127views Communications» more  NOMS 2002»
14 years 15 days ago
Intelligent search of correlated alarms from database containing noise data
Alarm correlation plays an important role in improving the service and reliability in modern telecommunication networks. Most previous research of alarm correlation didn’t consi...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma
ICEB
2004
175views Business» more  ICEB 2004»
13 years 9 months ago
Privacy-Preserving Data Mining in Electronic Surveys
Electronic surveys are an important resource in data mining. However, how to protect respondents' data privacy during the survey is a challenge to the security and privacy co...
Justin Z. Zhan, Stan Matwin
SNAM
2011
246views more  SNAM 2011»
13 years 2 months ago
Market basket analysis with networks
The field of market basket analysis, the search for meaningful associations in customer purchase data, is one of the oldest areas of data mining. The typical solution involves th...
Troy Raeder, Nitesh V. Chawla
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
PKDD
2010
Springer
153views Data Mining» more  PKDD 2010»
13 years 5 months ago
A Robustness Measure of Association Rules
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
Yannick Le Bras, Patrick Meyer, Philippe Lenca, St...