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» A Perspective on Databases and Data Mining
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KDD
2007
ACM
176views Data Mining» more  KDD 2007»
16 years 7 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
VLDB
2007
ACM
111views Database» more  VLDB 2007»
16 years 21 days ago
Security in Outsourcing of Association Rule Mining
Outsourcing association rule mining to an outside service provider brings several important benefits to the data owner. These include (i) relief from the high mining cost, (ii) m...
Wai Kit Wong, David W. Cheung, Edward Hung, Ben Ka...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 10 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
ICDM
2003
IEEE
96views Data Mining» more  ICDM 2003»
15 years 12 months ago
Mining Plans for Customer-Class Transformation
We consider the problem of mining high-utility plans from historical plan databases that can be used to transform customers from one class to other, more desirable classes. Tradit...
Qiang Yang, Hong Cheng
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
16 years 6 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam