Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
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
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Abstract-Driven Pattern Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
A framework for measuring changes in data characteristics
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Pruning and summarizing the discovered associations
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
User profiling in personalization applications through rule discovery and validation
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining interesting knowledge using DM-II
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
Multi-level organization and summarization of the discovered rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Exploration mining in diabetic patients databases: findings and conclusions
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering unexpected information from your competitors' web sites
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating the novelty of text-mined rules using lexical knowledge
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying non-actionable association rules
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering the set of fundamental rule changes
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Infominer: mining surprising periodic patterns
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining data streams under block evolution
ACM SIGKDD Explorations Newsletter
What's interesting about Cricket?: on thresholds and anticipation in discovered rules
ACM SIGKDD Explorations Newsletter
Visualizing web site comparisons
Proceedings of the 11th international conference on World Wide Web
Discovery in multi-attribute data with user-defined constraints
ACM SIGKDD Explorations Newsletter
Comparison of interestingness functions for learning web usage patterns
Proceedings of the eleventh international conference on Information and knowledge management
A Microeconomic View of Data Mining
Data Mining and Knowledge Discovery
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
Effective discovery of exception class association rules
Journal of Computer Science and Technology
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Analyzing the Subjective Interestingness of Association Rules
IEEE Intelligent Systems
Knowledge discovery through self-organizing maps: data visualization and query processing
Knowledge and Information Systems
Profit Mining: From Patterns to Actions
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association Rules
PAKM '02 Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management
Unified Algorithm for Undirected Discovery of Execption Rules
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Mining Surprising Patterns Using Temporal Description Length
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Mining Changes for Real-Life Applications
DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
Evolutionary Hot Spots Data Mining - An Architecture for Exploring for Interesting Discoveries
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Visually Aided Exploration of Interesting Association Rules
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Efficient Search of Reliable Exceptions
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Fast Discovery of Interesting Rules
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Exception Rule Mining with a Relative Interestingness Measure
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets
CL '00 Proceedings of the First International Conference on Computational Logic
In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Query Initiated Discovery of Interesting Association Rules
DS '98 Proceedings of the First International Conference on Discovery Science
Modelling and Incorporating Background Knowledge in the Web Mining Process
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Discovery of Interesting Usage Patterns from Web Data
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Mining Indirect Associations in Web Data
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Discovery of Ordinal Association Rules
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
The use of web structure and content to identify subjectively interesting web usage patterns
ACM Transactions on Internet Technology (TOIT)
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Domain knowledge to support the discovery process: previously discovered knowledge
Handbook of data mining and knowledge discovery
Domain knowledge to support the discovery process: user preferences
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Guiding knowledge discovery through interactive data mining
Managing data mining technologies in organizations
Mining and monitoring evolving data
Handbook of massive data sets
A query-driven interesting rule discovery using associations and spanning operations
Data mining, rough sets and granular computing
Finding unexpected patterns in data
Data mining, rough sets and granular computing
FlexiMine – A Flexible Platform for KDD Research and Application Development
Annals of Mathematics and Artificial Intelligence
Detecting Interesting Exceptions from Medical Test Data with Visual Summarization
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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
An iterative hypothesis-testing strategy for pattern discovery
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining unexpected rules by pushing user dynamics
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
DeEPs: A New Instance-Based Lazy Discovery and Classification System
Machine Learning
Journal of the ACM (JACM)
Knowledge discovery and data mining in biological databases
The Knowledge Engineering Review
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
A Framework for Evaluating Knowledge-Based Interestingness of Association Rules
Fuzzy Optimization and Decision Making
Detecting privacy and ethical sensitivity in data mining results
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
Mining Surprising Periodic Patterns
Data Mining and Knowledge Discovery
Conceptual construction on incomplete survey data
Data & Knowledge Engineering
Generating a Condensed Representation for Association Rules
Journal of Intelligent Information Systems
Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
A relatedness-based data-driven approach to determination of interestingness of association rules
Proceedings of the 2005 ACM symposium on Applied computing
ADMiRe: An Algebraic Data Mining Approach to System Performance Analysis
IEEE Transactions on Knowledge and Data Engineering
Sampling-based sequential subgroup mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A fast high utility itemsets mining algorithm
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Opportunity map: a visualization framework for fast identification of actionable knowledge
Proceedings of the 14th ACM international conference on Information and knowledge management
A Visual Data Mining Framework for Convenient Identification of Useful Knowledge
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery
IEEE Transactions on Knowledge and Data Engineering
On Mining Summaries by Objective Measures of Interestingness
Machine Learning
ACM Computing Surveys (CSUR)
Interestingness measures for data mining: A survey
ACM Computing Surveys (CSUR)
On a confidence gain measure for association rule discovery and scoring
The VLDB Journal — The International Journal on Very Large Data Bases
Rule interestingness analysis using OLAP operations
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Extracting redundancy-aware top-k patterns
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering interesting patterns through user's interactive feedback
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Choosing the content of textual summaries of large time-series data sets
Natural Language Engineering
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis
Expert Systems with Applications: An International Journal
Improving discriminative sequential learning by discovering important association of statistics
ACM Transactions on Asian Language Information Processing (TALIP)
Using metarules to organize and group discovered association rules
Data Mining and Knowledge Discovery
Modeling and language support for the management of pattern-bases
Data & Knowledge Engineering
A parallel genetic algorithm approach for automated discovery of censored production rules
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Domain-Driven, Actionable Knowledge Discovery
IEEE Intelligent Systems
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
AISIID: An artificial immune system for interesting information discovery on the web
Applied Soft Computing
GAM: a guidance enabled association mining environment
International Journal of Business Intelligence and Data Mining
Knowledge actionability: satisfying technical and business interestingness
International Journal of Business Intelligence and Data Mining
Online analytical mining association rules using Chi-square test
International Journal of Business Intelligence and Data Mining
Mining California vital statistical data
International Journal of Computer Applications in Technology
The persuasive phase of visualization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Geographical Information Science
Using importance flooding to identify interesting networks of criminal activity
Journal of the American Society for Information Science and Technology
Measuring interestingness of discovered skewed patterns in data cubes
Decision Support Systems
Tree-based Construction of Low-cost Action Rules
Fundamenta Informaticae
Interestingness filtering engine: Mining Bayesian networks for interesting patterns
Expert Systems with Applications: An International Journal
User Modeling and User-Adapted Interaction
Expert Systems with Applications: An International Journal
Issues in pattern mining and their resolutions
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
An efficient rigorous approach for identifying statistically significant frequent itemsets
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures
Knowledge Acquisition: Approaches, Algorithms and Applications
Towards Business Interestingness in Actionable Knowledge Discovery
Proceedings of the 2008 conference on Applications of Data Mining in E-Business and Finance
Discovering unexpected documents in corpora
Knowledge-Based Systems
Compression-Based Measures for Mining Interesting Rules
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
A comprehensive survey of numeric and symbolic outlier mining techniques
Intelligent Data Analysis
Principles of human-computer collaboration for knowledge discovery in science
Artificial Intelligence
Autonomous classifiers with understandable rule using multi-objective genetic algorithms
Expert Systems with Applications: An International Journal
Mining changes in customer behavior in retail marketing
Expert Systems with Applications: An International Journal
Summary queries for frequent itemsets mining
Journal of Systems and Software
Data mining for web personalization
The adaptive web
The outer impartation information content of rules and rule sets
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Visualization of the critical patterns of missing values in classification data
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Towards directed open-ended search by a novelty guided evolution strategy
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Using ontologies to facilitate post-processing of association rules by domain experts
Information Sciences: an International Journal
Towards the Generic Framework for Utility Considerations in Data Mining Research
Proceedings of the 2010 conference on Data Mining for Business Applications
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
Domain-driven KDD for mining functionally novel rules and linking disjoint medical hypotheses
Knowledge-Based Systems
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
RM-Tool: A framework for discovering and evaluating association rules
Advances in Engineering Software
A hybrid interestingness heuristic approach for attribute-oriented mining
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Conceptual distance for association rules post-processing
MEDI'11 Proceedings of the First international conference on Model and data engineering
Action rules discovery, a new simplified strategy
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Interesting patterns extraction using prior knowledge
DS'06 Proceedings of the 9th international conference on Discovery Science
Mining frequent closed itemsets without candidate generation
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
Finding interesting rules exploiting rough memberships
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Using importance flooding to identify interesting networks of criminal activity
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Activity mining: challenges and prospects
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Ontology-based filtering mechanisms for web usage patterns retrieval
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
A distance-based approach for action recommendation
ECML'05 Proceedings of the 16th European conference on Machine Learning
Knowledge-Based sampling for subgroup discovery
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Temporal evolution and local patterns
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Undirected exception rule discovery as local pattern detection
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Intelligent techniques for web personalization
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
Discovery and diagnosis of behavioral transitions in patient event streams
ACM Transactions on Management Information Systems (TMIS)
A unified approach for discovery of interesting association rules in medical databases
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
Cooperative discovery of interesting action rules
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Ontology-Based rummaging mechanisms for the interpretation of web usage patterns
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Searching interesting association rules based on evolutionary computation
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets
Journal of the ACM (JACM)
Artificial Intelligence in Medicine
HIS'12 Proceedings of the First international conference on Health Information Science
Actionable knowledge discovery and delivery
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
An expected utility-based approach for mining action rules
Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics
Properties of rule interestingness measures and alternative approaches to normalization of measures
Information Sciences: an International Journal
Measuring the dynamic relatedness between chinese entities orienting to news corpus
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Tree-based Construction of Low-cost Action Rules
Fundamenta Informaticae
Knowledge discovery interestingness measures based on unexpectedness
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Mining actionable behavioral rules
Decision Support Systems
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Association Rules Evaluation by a Hybrid Multiple Criteria Decision Method
International Journal of Knowledge and Systems Science
Attract me!: how could end-users identify interesting resources?
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
An evolutionary approach to discover intra-and inter-class exceptions in databases
International Journal of Intelligent Systems Technologies and Applications
Discovering diverse-frequent patterns in transactional databases
Proceedings of the 17th International Conference on Management of Data
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One of the central problems in the field of knowledge discovery is the development of good measures of interestingness of discovered patterns. Such measures of interestingness are divided into objective measures驴those that depend only on the structure of a pattern and the underlying data used in the discovery process, and the subjective measures驴those that also depend on the class of users who examine the pattern. The focus of this paper is on studying subjective measures of interestingness. These measures are classified into actionable and unexpected, and the relationship between them is examined. The unexpected measure of interestingness is defined in terms of the belief system that the user has. Interestingness of a pattern is expressed in terms of how it affects the belief system. The paper also discusses how this unexpected measure of interestingness can be used in the discovery process.