Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Data mining using two-dimensional optimized association rules: scheme, algorithms, and visualization
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
A framework for information visualisation
ACM SIGMOD Record
Association rules over interval data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Data mining: a hands-on approach for business professionals
Data mining: a hands-on approach for business professionals
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
DVIZ: A System for Visualizing Data Mining
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Visually Aided Exploration of Interesting Association Rules
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Implementation Issues and Paradigms of Visual KDD Systems
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
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We introduce an interactive visualization system, AViz, for discovering numerical association rules from large data sets. The process of interactive visual discovery consists of six steps: preparing the raw data, visualizing the original data, cleaning the data, discretizing numerical attributes, and discovering and visualizing association rules. The basic framework of the AViz system is presented and three approaches to discretize numerical attributes, including equal-sized, bin-packing based equal-depth, and interaction-based approaches, are proposed and implemented. The algorithm for discovering and visualizing numerical association rules is discussed and analyzed. The AViz system has been experimented on a census data set. The experimental results demonstrate that the AViz system is useful and helpful for discovering and visualizing numerical association rules.