Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Fast discovery of association rules
Advances in knowledge discovery and data mining
Data mining, hypergraph transversals, and machine learning (extended abstract)
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Finite State Markovian Decision Processes
Finite State Markovian Decision Processes
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
What Makes Patterns Interesting in Knowledge Discovery Systems
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
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Post-analysis of learned rules
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Using association rules for product assortment decisions: a case study
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Concept Decompositions for Large Sparse Text Data Using Clustering
Machine Learning
Profit Mining: From Patterns to Actions
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Constraint-based clustering in large databases
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Feature Weighting in k-Means Clustering
Machine Learning
Theoretical frameworks for data mining
ACM SIGKDD Explorations Newsletter
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Building an Association Rules Framework to Improve Product Assortment Decisions
Data Mining and Knowledge Discovery
Journal of the ACM (JACM)
ItCompress: An Iterative Semantic Compression Algorithm
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
A microeconomic data mining problem: customer-oriented catalog segmentation
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Using information retrieval techniques for supporting data mining
Data & Knowledge Engineering
Data Mining for Inventory Item Selection with Cross-Selling Considerations
Data Mining and Knowledge Discovery
Mining Patterns That Respond to Actions
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
DADA: a data cube for dominant relationship analysis
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Mining itemset utilities from transaction databases
Data & Knowledge Engineering - Special issue: ER 2003
Customer-oriented catalog segmentation: effective solution approaches
Decision Support Systems
High-utility pattern mining: A method for discovery of high-utility item sets
Pattern Recognition
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A cost model to estimate the effort of data mining projects (DMCoMo)
Information Systems
On dominating your neighborhood profitably
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Knowledge actionability: satisfying technical and business interestingness
International Journal of Business Intelligence and Data Mining
The persuasive phase of visualization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A Profit-Based Business Model for Evaluating Rule Interestingness
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
On domination game analysis for microeconomic data mining
ACM Transactions on Knowledge Discovery from Data (TKDD)
Credit scoring algorithm based on link analysis ranking with support vector machine
Expert Systems with Applications: An International Journal
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Catalog segmentation with double constraints in business
Pattern Recognition Letters
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Expert Systems with Applications: An International Journal
Optimization in Discovery of Compound Granules
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Towards Business Interestingness in Actionable Knowledge Discovery
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
Promotion analysis in multi-dimensional space
Proceedings of the VLDB Endowment
Mining action rules from scratch
Expert Systems with Applications: An International Journal
Designing customer-oriented catalogs in e-CRM using an effective self-adaptive genetic algorithm
Expert Systems with Applications: An International Journal
An approach for multi-objective categorization based on the game theory and Markov process
Applied Soft Computing
Risk assessment in granular environments
Transactions on rough sets XIII
An information theoretic framework for data mining
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A local facility location algorithm for sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
On the complexity of several haplotyping problems
WABI'05 Proceedings of the 5th International conference on Algorithms in Bioinformatics
On approximation algorithms for data mining applications
Efficient Approximation and Online Algorithms
Actionable knowledge discovery and delivery
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Optimization in Discovery of Compound Granules
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Efficient influence-based processing of market research queries
Proceedings of the 21st ACM international conference on Information and knowledge management
A survey on enhanced subspace clustering
Data Mining and Knowledge Discovery
From data to simulation models: component-based model generation with a data-driven approach
Proceedings of the Winter Simulation Conference
Consideration of purchase dependence in inventory management
Computers and Industrial Engineering
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We present a rigorous framework, based on optimization, for evaluating data mining operations such as associations andclustering, in terms of their utility in decision-making. Thisframework leads quickly to some interesting computationalproblems related to sensitivity analysis, segmentation and thetheory of games.