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ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
16 years 1 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...
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
16 years 1 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
SAC
2005
ACM
16 years 17 days ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
16 years 8 days ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
ADBIS
1998
Springer
118views Database» more  ADBIS 1998»
15 years 11 months ago
Itemset Materializing for Fast Mining of Association Rules
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Marek Wojciechowski, Maciej Zakrzewicz