Sciweavers

99 search results - page 14 / 20
» Discovering Multi-head Attributional Rules in Large Database...
Sort
View
92
Voted
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
15 years 1 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar
ICDAR
2009
IEEE
14 years 7 months ago
Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support
Echo videos are an important modality for cardiac decision support. In addition to describing the shape and motion of the heart, they capture important diagnostic measurements as ...
Tanveer Fathima Syeda-Mahmood, David Beymer, Arnon...
ISMIS
1999
Springer
15 years 1 months ago
A Statistical Approach to Rule Selection in Semantic Query Optimisation
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...
Barry G. T. Lowden, Jerome Robinson
CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 9 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
81
Voted
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
15 years 10 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu