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TKDE
2008
139views more  TKDE 2008»
15 years 6 months ago
Mining Weighted Association Rules without Preassigned Weights
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...
Ke Sun, Fengshan Bai
ICDM
2002
IEEE
145views Data Mining» more  ICDM 2002»
15 years 12 months ago
Mining Top-K Frequent Closed Patterns without Minimum Support
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...
Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov
ICDM
2008
IEEE
175views Data Mining» more  ICDM 2008»
16 years 1 months ago
Overlapping Matrix Pattern Visualization: A Hypergraph Approach
In this work, we study a visual data mining problem: Given a set of discovered overlapping submatrices of interest, how can we order the rows and columns of the data matrix to bes...
Ruoming Jin, Yang Xiang, David Fuhry, Feodor F. Dr...
AIED
2007
Springer
16 years 1 months ago
Investigating Generative Factors of Score Matrices
An implicit assumption in psychometrics and educational statistics is that the generative model for student scores on test questions is governed by the topics of those questions an...
Titus Winters, Christian R. Shelton, Tom Payne
OOPSLA
2004
Springer
16 years 7 days ago
A framework for detecting, assessing and visualizing performance antipatterns in component based systems
Component-based enterprise systems often suffer from performance issues as a result of poor system design. In this paper, we propose a framework to automatically detect, assess an...
Trevor Parsons