Sciweavers

Share
ESEM
2008
ACM
9 years 5 days ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
DAWAK
2006
Springer
9 years 2 months ago
Efficient Mining of Dissociation Rules
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Mikolaj Morzy
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
9 years 2 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
KDD
1998
ACM
183views Data Mining» more  KDD 1998»
9 years 2 months ago
Mining Generalized Association Rules and Sequential Patterns Using SQL Queries
Database integration of mining is becoming increasingly important with tile installation of larger and larger data warehouses built around relational database technology. Most of ...
Shiby Thomas, Sunita Sarawagi
DAWAK
2003
Springer
9 years 3 months ago
Using an Interest Ontology for Improved Support in Rule Mining
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
ICDM
2003
IEEE
91views Data Mining» more  ICDM 2003»
9 years 3 months ago
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang
RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
9 years 4 months ago
Constructing Associative Classifier Using Rough Sets and Evidence Theory
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Z...
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
9 years 4 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
ADMA
2007
Springer
159views Data Mining» more  ADMA 2007»
9 years 4 months ago
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
9 years 4 months ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
books