Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Small is beautiful: discovering the minimal set of unexpected patterns
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
Using quantitative information for efficient association rule generation
ACM SIGMOD Record
Mining frequent patterns by pattern-growth: methodology and implications
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Tri-plots: scalable tools for multidimensional data mining
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining confident rules without support requirement
Proceedings of the tenth international conference on Information and knowledge management
Towards long pattern generation in dense databases
ACM SIGKDD Explorations Newsletter
Exploiting succinct constraints using FP-trees
ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
Detecting Group Differences: Mining Contrast Sets
Data Mining and Knowledge Discovery
Scoring the Data Using Association Rules
Applied Intelligence
Simple association rules (SAR) and the SAR-based rule discovery
Computers and Industrial Engineering
Discovering calendar-based temporal association rules
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Classification Rule Learning with APRIORI-C
EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
Discovering Association Rules in Large, Dense Databases
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Computing Association Rules Using Partial Totals
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Finding Association Rules with Some Very Frequent Attributes
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Data Mining Support in Database Management Systems
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Mining Optimal Class Association Rule Set
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Efficient Constraint-Based Exploratory Mining on Large Data Cubes
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Automatic Generation of Propagation Rules for Finite Domains
CP '02 Proceedings of the 6th International Conference on Principles and Practice of Constraint Programming
Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets
CL '00 Proceedings of the First International Conference on Computational Logic
Intelligent Structuring and Reducing of Association Rules with Formal Concept Analysis
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Parallel Branch-and-Bound Graph Search for Correlated Association Rules
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Handling very large numbers of association rules in the analysis of microarray data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Direct Interesting Rule Generation
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Tree Structures for Mining Association Rules
Data Mining and Knowledge Discovery
Mining Informative Rule Set for Prediction
Journal of Intelligent Information Systems
Automatic generation of rule-based constraint solvers over finite domains
ACM Transactions on Computational Logic (TOCL)
Pushing Convertible Constraints in Frequent Itemset Mining
Data Mining and Knowledge Discovery
On the complexity of inducing categorical and quantitative association rules
Theoretical Computer Science
Efficient mining of long frequent patterns from very large dense datasets
Design and application of hybrid intelligent systems
FARMER: finding interesting rule groups in microarray datasets
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Efficient closed pattern mining in the presence of tough block constraints
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
From sequential pattern mining to structured pattern mining: a pattern-growth approach
Journal of Computer Science and Technology
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining
IEEE Transactions on Knowledge and Data Engineering
Data Privacy through Optimal k-Anonymization
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery
IEEE Transactions on Knowledge and Data Engineering
Modeling english past tense intuitions with minimal generalization
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Comparing association rules and decision trees for disease prediction
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
A new approach to classification based on association rule mining
Decision Support Systems
Mining itemset utilities from transaction databases
Data & Knowledge Engineering - Special issue: ER 2003
Constraint-based sequential pattern mining: the pattern-growth methods
Journal of Intelligent Information Systems
The discovery of association rules from tabular databases comprising nominal and ordinal attributes
Intelligent Data Analysis
Soft constraint based pattern mining
Data & Knowledge Engineering
Efficient Computation of Iceberg Cubes by Bounding Aggregate Functions
IEEE Transactions on Knowledge and Data Engineering
Mining association rules using clustering
Intelligent Data Analysis
Mining weighted association rules
Intelligent Data Analysis
Semantic mining and analysis of gene expression data
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Redundant association rules reduction techniques
International Journal of Business Intelligence and Data Mining
Fast detection of database system abuse behaviors based on data mining approach
Proceedings of the 2nd international conference on Scalable information systems
Representation and dimensionality reduction of semantically enriched clickstreams
Ph.D. '08 Proceedings of the 2008 EDBT Ph.D. workshop
INCREMENTAL EXTRACTION OF ASSOCIATION RULES IN APPLICATIVE DOMAINS
Applied Artificial Intelligence
Mining fuzzy temporal patterns from process instances with weighted temporal graphs
International Journal of Data Analysis Techniques and Strategies
A constraint-based querying system for exploratory pattern discovery
Information Systems
TCOM, an innovative data structure for mining association rules among infrequent items
Computers & Mathematics with Applications
On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Correlated itemset mining in ROC space: a constraint programming approach
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Intelligent file scoring system for malware detection from the gray list
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Mining product intention rules from transaction logs of an ecommerce portal
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Mining frequent arrangements of temporal intervals
Knowledge and Information Systems
Search bound strategies for rule mining by iterative deepening
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Mining patterns of dyspepsia symptoms across time points using constraint association rules
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Reducing rule covers with deterministic error bounds
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Discovering frequent itemsets in the presence of highly frequent items
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
Iterative reordering of rules for building ensembles without relearning
DS'07 Proceedings of the 10th international conference on Discovery science
Service process improvement based on exceptional pattern analysis
NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
CIMDS: adapting postprocessing techniques of associative classification for malware detection
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Ensembles of jittered association rule classifiers
Data Mining and Knowledge Discovery
Journal of Intelligent Information Systems
Efficient temporal pattern mining for humanoid robot
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Two measures of objective novelty in association rule mining
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
A concise representation of association rules using minimal predictive rules
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Model guided algorithm for mining unordered embedded subtrees
Web Intelligence and Agent Systems
Optimization of association rules extraction through exploitation of context dependent constraints
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Distribution rules with numeric attributes of interest
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
The hows, whys, and whens of constraints in itemset and rule discovery
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Relevancy in constraint-based subgroup discovery
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
A novel incremental approach to association rules mining in inductive databases
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
Association rule mining with chi-squared test using alternate genetic network programming
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Flexible online association rule mining based on multidimensional pattern relations
Information Sciences: an International Journal
Multidimensional frequent pattern mining using association rule based constraints
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
A heuristic for mining association rules in polynomial time
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
Mining Induced/Embedded Subtrees using the Level of Embedding Constraint
Fundamenta Informaticae
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
A bayesian scoring technique for mining predictive and non-spurious rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Mining complex feature correlations from software product line configurations
Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
Formal and computational properties of the confidence boost of association rules
ACM Transactions on Knowledge Discovery from Data (TKDD)
Journal of Computer Security
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Constraint-based rule miners find all rules in a given data-set meeting user-specified constraints such as minimum support and confidence. We describe a new algorithm that directly exploits all user-specified constraints including minimum support, minimum confidence, and a new constraint that ensures every mined rule offers a predictive advantage over any of its simplifications. Our algorithm maintains efficiency even at low supports on data that is dense (e.g. relational data). Previous approaches such as Apriori and its variants exploit only the minimum support constraint, and as a result are ineffective on dense data due to a combinatorial explosion of "frequent itemsets".