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» Heuristic Measures of Interestingness
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DIS
2006
Springer
13 years 10 months ago
Interesting Patterns Extraction Using Prior Knowledge
Abstract. One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity ...
Laurent Brisson
WWW
2009
ACM
14 years 9 months ago
What makes conversations interesting?: themes, participants and consequences of conversations in online social media
Rich media social networks promote not only creation and consumption of media, but also communication about the posted media item. What causes a conversation to be interesting, th...
Ajita John, Dorée D. Seligmann, Hari Sundar...
NOMS
2002
IEEE
127views Communications» more  NOMS 2002»
14 years 1 months 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
SNAM
2011
246views more  SNAM 2011»
13 years 3 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
ESEM
2008
ACM
13 years 10 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...