Sciweavers

1303 search results - page 86 / 261
» Cyclic Association Rules
Sort
View
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
15 years 11 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
LAWEB
2003
IEEE
15 years 10 months ago
Extracting Knowledge from Association Relationships to Build Navigational Models
This paper analyzes how the semantics of association relationships in OO conceptual modeling can help to build Navigational Models for Web Applications. The work has been develope...
Manoli Albert, Vicente Pelechano, Joan Fons, Gonza...
RTA
2009
Springer
15 years 11 months ago
A Heterogeneous Pushout Approach to Term-Graph Transformation
We address the problem of cyclic termgraph rewriting. We propose a new framework where rewrite rules are tuples of the form (L, R, τ, σ) such that L and R are termgraphs represen...
Dominique Duval, Rachid Echahed, Fréd&eacut...
KBS
2006
79views more  KBS 2006»
15 years 4 months ago
Using multiple and negative target rules to make classifiers more understandable
One major goal for data mining is to understand data. Rule based methods are better than other methods in making mining results comprehensible. However, the current rule based cla...
Jiuyong Li, Jason Jones
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 2 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat