Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
A database perspective on knowledge discovery
Communications of the ACM
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Visualizing association rules with interactive mosaic plots
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Web for data mining: organizing and interpreting the discovered rules using the Web
ACM SIGKDD Explorations Newsletter
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
3D or not 3D?: evaluating the effect of the third dimension in a document management system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data Mining with optimized two-dimensional association rules
ACM Transactions on Database Systems (TODS)
Towards effective and interpretable data mining by visual interaction
ACM SIGKDD Explorations Newsletter
Information Visualization in Data Mining and Knowledge Discovery
Information Visualization in Data Mining and Knowledge Discovery
ACM SIGKDD Explorations Newsletter
An Extension to SQL for Mining Association Rules
Data Mining and Knowledge Discovery
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Analyzing the Subjective Interestingness of Association Rules
IEEE Intelligent Systems
Improving the Discovery of Association Rules with Intensity of Implication
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Association Rules from XML Data
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
A Comparison between Query Languages for the Extraction of Association Rules
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Immersed Visual Data Mining: Walking the Walk
BNCOD 18 Proceedings of the 18th British National Conference on Databases: Advances in Databases
On Objective Measures of Rule Surprisingness
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
DBMiner: a system for data mining in relational databases and data warehouses
CASCON '97 Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
Efficient Mining of Constrained Correlated Sets
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Case study: Visualising cyberspace: information visualisation in the Harmony Internet browser
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
A visualization model of interactive knowledge discovery systems and its implementations
Information Visualization
Experiences in building a tool for navigating association rule result sets
ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
Efficient breadth-first mining of frequent pattern with monotone constraints
Knowledge and Information Systems
Semiology of graphics
Using Information-Theoretic Measures to Assess Association Rule Interestingness
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Information Visualization: Beyond the Horizon
Information Visualization: Beyond the Horizon
Optimization of association rule mining queries
Intelligent Data Analysis
Visualization of directed associations in e-commerce transaction data
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
Visual Data Mining: An Introduction and Overview
Visual Data Mining
Modified algorithms for synthesizing high-frequency rules from different data sources
Knowledge and Information Systems
FpViz: a visualizer for frequent pattern mining
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Approximating the number of frequent sets in dense data
Knowledge and Information Systems
FpVAT: a visual analytic tool for supporting frequent pattern mining
ACM SIGKDD Explorations Newsletter
CloseViz: visualizing useful patterns
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
Visual analytics of social networks: mining and visualizing co-authorship networks
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
RadialViz: an orientation-free frequent pattern visualizer
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
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On account of the enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery process. In order to find relevant knowledge for decision making, the user (a decision maker specialized in the data studied) needs to rummage through the rules. To assist him/her in this task, we here propose the rule-focusing methodology, an interactive methodology for the visual post-processing of association rules. It allows the user to explore large sets of rules freely by focusing his/her attention on limited subsets. This new approach relies on rule interestingness measures, on a visual representation, and on interactive navigation among the rules. We have implemented the rule-focusing methodology in a prototype system called ARVis. It exploits the user's focus to guide the generation of the rules by means of a specific constraint-based rule-mining algorithm.