Boolean Feature Discovery in Empirical Learning
Machine Learning
Rule induction with CN2: some recent improvements
EWSL-91 Proceedings of the European working session on learning on Machine learning
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting change in categorical data: mining contrast sets
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Interestingness via what is not interesting
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
Knowledge Discovery and Measures of Interest
Knowledge Discovery and Measures of Interest
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
Extracting Share Frequent Itemsets with Infrequent Subsets
Data Mining and Knowledge Discovery
Machine Learning
Profit Mining: From Patterns to Actions
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Discovery-Driven Exploration of OLAP Data Cubes
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Share Based Measures for Itemsets
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Explaining Differences in Multidimensional Aggregates
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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
CCAIIA: Clustering Categorial Attributed into Interseting Accociation Rules
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
On Objective Measures of Rule Surprisingness
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Mining Market Basket Data Using Share Measures and Characterized Itemsets
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Distance-based outliers: algorithms and applications
The VLDB Journal — The International Journal on Very Large Data Bases
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Objective-Oriented Utility-Based Association Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Mining Optimal Actions for Profitable CRM
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Mining Association Rules with Weighted Items
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
Peculiarity Oriented Multidatabase Mining
IEEE Transactions on Knowledge and Data Engineering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
On the discovery of significant statistical quantitative rules
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluation of rule interestingness measures with a clinical dataset on hepatitis
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
A survey of interestingness measures for knowledge discovery
The Knowledge Engineering Review
On Mining Summaries by Objective Measures of Interestingness
Machine Learning
Mining itemset utilities from transaction databases
Data & Knowledge Engineering - Special issue: ER 2003
Mining weighted association rules
Intelligent Data Analysis
Minimum description length induction, Bayesianism, and Kolmogorov complexity
IEEE Transactions on Information Theory
Evaluation of rule interestingness measures in medical knowledge discovery in databases
Artificial Intelligence in Medicine
Mining unexpected multidimensional rules
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Fuzzy Sets and Systems
Statistical mining of interesting association rules
Statistics and Computing
ACM SIGKDD Explorations Newsletter
Performance Measures in Classification of Human Communications
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
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
Semantic Process Retrieval with iSPARQL
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
MINI: Mining Informative Non-redundant Itemsets
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Minimum-Size Bases of Association Rules
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Dynamic faceted search for discovery-driven analysis
Proceedings of the 17th ACM conference on Information and knowledge management
Measuring interestingness of discovered skewed patterns in data cubes
Decision Support Systems
Engineering of Software-Intensive Systems: State of the Art and Research Challenges
Software-Intensive Systems and New Computing Paradigms
Utilizing Non-redundant Association Rules from Multi-level Datasets
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Post-processing of associative classification rules using closed sets
Expert Systems with Applications: An International Journal
Generating design knowledge though data mining
Journal of Computing Sciences in Colleges
Discovering Association Rules on Experiences from Large-Scale Blog Entries
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
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
Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures
Knowledge Acquisition: Approaches, Algorithms and Applications
A new method for ranking changes in customer's behavioral patterns in department stores
Proceedings of the 11th International Conference on Electronic Commerce
Condensed Representation of Sequential Patterns According to Frequency-Based Measures
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Discovery of unapparent association rules based on extracted probability
Decision Support Systems
Predicting protein-protein interactions using numerical associational features
CIBCB'09 Proceedings of the 6th Annual IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology
Correlation-based interestingness measure for video semantic concept detection
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
Interestingness of Association Rules Using Symmetrical Tau and Logistic Regression
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Privacy Preserving Categorical Data Analysis with Unknown Distortion Parameters
Transactions on Data Privacy
A study on interestingness measures for associative classifiers
Proceedings of the 2010 ACM Symposium on Applied Computing
Artificial Intelligence in Medicine
A framework for mining interesting pattern sets
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
Hierarchical document clustering using local patterns
Data Mining and Knowledge Discovery
A fast pruning redundant rule method using Galois connection
Applied Soft Computing
Constructing classification features using minimal predictive patterns
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Mining negative generalized knowledge from relational databases
Knowledge-Based Systems
Alternative normalization schemas for Bayesian confirmation measures
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Discrete wavelet transform-based time series analysis and mining
ACM Computing Surveys (CSUR)
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
A robustness measure of association rules
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Integrating induction and deduction for finding evidence of discrimination
Artificial Intelligence and Law
Knowledge extraction using a conceptual information system (ExCIS)
ODBIS'05/06 Proceedings of the First and Second VLDB conference on Ontologies-based databases and information systems
Visual guidance in the exploration of large databases
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Generalization of association rules through disjunction
Annals of Mathematics and Artificial Intelligence
Building a highly-compact and accurate associative classifier
Applied Intelligence
Interestingness measures for association rules based on statistical validity
Knowledge-Based Systems
A framework for mining interesting pattern sets
ACM SIGKDD Explorations Newsletter
Domain-driven KDD for mining functionally novel rules and linking disjoint medical hypotheses
Knowledge-Based Systems
A comparative study of signature based indexes for efficient retrieval of temporal patterns
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Efficient prime-based method for interactive mining of frequent patterns
Expert Systems with Applications: An International Journal
A novel evolutionary method to search interesting association rules by keywords
Expert Systems with Applications: An International Journal
A3P: adaptive policy prediction for shared images over popular content sharing sites
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
A retrieval strategy using the integrated knowledge of similarity and associations
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
RM-Tool: A framework for discovering and evaluating association rules
Advances in Engineering Software
MIME: a framework for interactive visual pattern mining
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Computational intelligence techniques for predicting earthquakes
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Analysis of measures of quantitative association rules
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Towards the effective temporal association mining of spam blacklists
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Coherence progress: a measure of interestingness based on fixed compressors
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
MIME: a framework for interactive visual pattern mining
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Building a topic hierarchy using the bag-of-related-words representation
Proceedings of the 11th ACM symposium on Document engineering
Maximum entropy models and subjective interestingness: an application to tiles in binary databases
Data Mining and Knowledge Discovery
Mining interesting infrequent and frequent itemsets based on minimum correlation strength
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I
Mining classification rules without support: an anti-monotone property of Jaccard measure
DS'11 Proceedings of the 14th international conference on Discovery science
Cosine interesting pattern discovery
Information Sciences: an International Journal
Measuring media-based social interactions provided by smartphone applications in social networks
SBNMA '11 Proceedings of the 2011 ACM workshop on Social and behavioural networked media access
A case retrieval approach using similarity and association knowledge
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
From data to global generalized knowledge
Decision Support Systems
Controlling false positives in association rule mining
Proceedings of the VLDB Endowment
Normalised support: a virtual angle of measurement of 'interestingness'
International Journal of Data Analysis Techniques and Strategies
Evaluation of rare event detection
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Searching for rules to detect defective modules: A subgroup discovery approach
Information Sciences: an International Journal
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Retrieval in CBR using a combination of similarity and association knowledge
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
A media-based social interactions analysis procedure
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Hunting for fraudsters in random forests
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Mining of multiobjective non-redundant association rules in data streams
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Proceedings of the 6th Euro American Conference on Telematics and Information Systems
Tackling incompleteness in information extraction --- a complementarity approach
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
A novel neighbor selection approach for KNN: a physiological status prediction case study
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
Properties of rule interestingness measures and alternative approaches to normalization of measures
Information Sciences: an International Journal
Guided discovery of interesting relationships between time series clusters and metadata properties
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Analysis of symmetry properties for bayesian confirmation measures
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Interestingness measures for fixed consequent rules
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Mining event logs to support workflow resource allocation
Knowledge-Based Systems
Association rule variation with respect to time
Proceedings of the CUBE International Information Technology Conference
Summarizing data succinctly with the most informative itemsets
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Knowledge discovery interestingness measures based on unexpectedness
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
A complete chronicle discovery approach: application to activity analysis
Expert Systems: The Journal of Knowledge Engineering
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Efficient content-based indexing of sequential data with bitmaps
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Extracting sequential nuggets of knowledge
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
Context Based Positive and Negative Spatio-Temporal Association Rule Mining
Knowledge-Based Systems
Mining attribute association in query predicates for access path generation
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Content-based collaborative filtering for question difficulty calibration
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial 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
Describing locations using tags and images: explorative pattern mining in social media
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
Geo topic model: joint modeling of user's activity area and interests for location recommendation
Proceedings of the sixth ACM international conference on Web search and data mining
Resource recommendation for intelligent environments based on a multi-aspect metric
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Association Rules Evaluation by a Hybrid Multiple Criteria Decision Method
International Journal of Knowledge and Systems Science
Exploratory mining over organisational communications data
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
Evolutionary and immune algorithms applied to association rule mining
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Closeness Preference - A new interestingness measure for sequential rules mining
Knowledge-Based Systems
Confirmation measures of association rule interestingness
Knowledge-Based Systems
Proceedings of the 15th annual conference on Genetic and evolutionary computation
TaPP'13 Proceedings of the 5th USENIX conference on Theory and Practice of Provenance
Proceedings of the 5th USENIX Workshop on the Theory and Practice of Provenance
Discovering diverse association rules from multidimensional schema
Expert Systems with Applications: An International Journal
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
Randomly sampling maximal itemsets
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
A temporal pattern mining approach for classifying electronic health record data
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Speeding up correlation search for binary data
Pattern Recognition Letters
Index selection: a query pattern mining based approach
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Discovering gene association networks by multi-objective evolutionary quantitative association rules
Journal of Computer and System Sciences
Editorial: Parameter-free classification in multi-class imbalanced data sets
Data & Knowledge Engineering
Predicting knowledge in an ontology stream
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Formal and computational properties of the confidence boost of association rules
ACM Transactions on Knowledge Discovery from Data (TKDD)
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules
Information Sciences: an International Journal
Assessment of data quality in accounting data with association rules
Expert Systems with Applications: An International Journal
Data summarization for network traffic monitoring
Journal of Network and Computer Applications
A study of supervised term weighting scheme for sentiment analysis
Expert Systems with Applications: An International Journal
Interesting pattern mining in multi-relational data
Data Mining and Knowledge Discovery
Identifying interesting Twitter contents using topical analysis
Expert Systems with Applications: An International Journal
Scaling up cosine interesting pattern discovery: A depth-first method
Information Sciences: an International Journal
Discovering diverse-frequent patterns in transactional databases
Proceedings of the 17th International Conference on Management of Data
Redefinition of Decision Rules Based on the Importance of Elementary Conditions Evaluation
Fundamenta Informaticae
Finding Meaningful Bayesian Confirmation Measures
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Key roles of closed sets and minimal generators in concise representations of frequent patterns
Intelligent Data Analysis
Interestingness measures for association rules within groups
Intelligent Data Analysis
Behavior-based clustering and analysis of interestingness measures for association rule mining
Data Mining and Knowledge Discovery
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Interestingness measures play an important role in data mining, regardless of the kind of patterns being mined. These measures are intended for selecting and ranking patterns according to their potential interest to the user. Good measures also allow the time and space costs of the mining process to be reduced. This survey reviews the interestingness measures for rules and summaries, classifies them from several perspectives, compares their properties, identifies their roles in the data mining process, gives strategies for selecting appropriate measures for applications, and identifies opportunities for future research in this area.