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PAKM
1998
15 years 1 months ago
Knowledge Management: A Text Mining Approach
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan A...
BMCBI
2011
14 years 3 months ago
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
Background: The identification of drug characteristics is a clinically important task, but it requires much expert knowledge and consumes substantial resources. We have developed ...
Frank P. Y. Lin, Stephen Anthony, Thomas M. Polase...
BPM
2008
Springer
192views Business» more  BPM 2008»
15 years 1 months ago
Trace Clustering in Process Mining
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
Minseok Song, Christian W. Günther, Wil M. P....
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
16 years 8 days ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
15 years 6 months ago
Text Mining in Radiology Reports
Medical text mining has gained increasing interest in recent years. Radiology reports contain rich information describing radiologist’s observations on the patient’s medical c...
Tianxia Gong, Chew Lim Tan, Tze-Yun Leong, Cheng K...