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» Exploiting Temporal Relations in Mining Hepatitis Data
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CIKM
2008
Springer
13 years 9 months ago
Exploiting context to detect sensitive information in call center conversations
Protecting sensitive information while preserving the shareability and usability of data is becoming increasingly important. In call-centers a lot of customer related sensitive in...
Tanveer A. Faruquie, Sumit Negi, Anup Chalamalla, ...
VLDB
2005
ACM
121views Database» more  VLDB 2005»
14 years 8 months ago
Join operations in temporal databases
Joins are arguably the most important relational operators. Poor implementations are tantamount to computing the Cartesian product of the input relations. In a temporal database, t...
Dengfeng Gao, Christian S. Jensen, Richard T. Snod...
SIGKDD
2002
113views more  SIGKDD 2002»
13 years 7 months ago
Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study
In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among ge...
Mark-A. Krogel, Marcus Denecke, Marco Landwehr, To...
PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
14 years 1 months ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
14 years 2 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville