Goodness-of-fit techniques
Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
Towards on-line analytical mining in large databases
ACM SIGMOD Record
Approximate computation of multidimensional aggregates of sparse data using wavelets
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Interestingness via what is not interesting
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge Discovery and Measures of Interest
Knowledge Discovery and Measures of Interest
Knowledge refinement based on the discovery of unexpected patterns in data mining
Decision Support Systems - Special issue: Formal modeling and electronic commerce
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Discovery-Driven Exploration of OLAP Data Cubes
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Explaining Differences in Multidimensional Aggregates
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Data mining tasks and methods: Subgroup discovery: deviation analysis
Handbook of data mining and knowledge discovery
Objective-Oriented Utility-Based Association Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Mining unexpected rules by pushing user dynamics
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
On the discovery of significant statistical quantitative rules
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Building knowledge discovery-driven models for decision support in project management
Decision Support Systems
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A survey of interestingness measures for knowledge discovery
The Knowledge Engineering Review
On Mining Summaries by Objective Measures of Interestingness
Machine Learning
Interestingness measures for data mining: A survey
ACM Computing Surveys (CSUR)
Factor-analysis based anomaly detection and clustering
Decision Support Systems
Post-analysis of learned rules
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A Web-Based GIS for Analyzing Commercial Motor Vehicle Crashes
Information Resources Management Journal
View Discovery in OLAP Databases through Statistical Combinatorial Optimization
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Season queries on a temporal multidimensional model for OLAP
Mathematical and Computer Modelling: An International Journal
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This paper describes a methodology of OLAP cube navigation to identify interesting surprises by using a skewness based approach. Three different measures of interestingness of navigation rules are proposed. The navigation rules are examined for their interestingness in terms of their expectedness of skewness from neighborhood rules. A novel Axis Shift Theory (AST) to determine interesting navigation paths is presented along with an attribute influence approach for generalization of rules, which measures the interestingness of dimensional attributes and their relative influence on navigation paths. Detailed examples and extensive experiments demonstrate the effectiveness of interestingness of navigation rules.