Software—Practice & Experience
DAG—a program that draws directed graphs
Software—Practice & Experience
EDGE: an extendable graph editor
Software—Practice & Experience - Unix tools
A node-positioning algorithm for general trees
Software—Practice & Experience
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Thoth-II: hypertext with explicit semantics
HYPERTEXT '87 Proceedings of the ACM conference on Hypertext
Knowledge Discovery in Databases
Knowledge Discovery in Databases
IEEE Software
Knowledge Discovery in Databases: An Attribute-Oriented Approach
VLDB '92 Proceedings of the 18th 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
Software unit profiles & Kiviat figures
ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review
Mining knowledge at multiple concept levels
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
An object-oriented approach to multi-level association rule mining
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
Background for association rules and cost estimate of selected mining algorithms
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Exploiting Background Information in Knowledge Discovery from Text
Journal of Intelligent Information Systems
Generating association rules from semi-structured documents using an extended concept hierarchy
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
A new framework for itemset generation
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Online algorithms for finding profile association rules
Proceedings of the seventh international conference on Information and knowledge management
Optimization of constrained frequent set queries with 2-variable constraints
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Breaking the barrier of transactions: mining inter-transaction association rules
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
Borders: An Efficient Algorithm for Association Generation in Dynamic Databases
Journal of Intelligent Information Systems
Query driven knowledge discovery in multidimensional data
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP
Using domain knowledge in knowledge discovery
Proceedings of the eighth international conference on Information and knowledge management
Incremental and interactive sequence mining
Proceedings of the eighth international conference on Information and knowledge management
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Rule Discovery in Telecommunication AlarmData
Journal of Network and Systems Management
Generating non-redundant association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Depth first generation of long 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
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
Sequence mining in categorical domains: incorporating constraints
Proceedings of the ninth international conference on Information and knowledge management
ACM Transactions on Information Systems (TOIS)
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
ACM SIGKDD Explorations Newsletter
PlanMine: Predicting Plan Failures Using Sequence Mining
Artificial Intelligence Review - Issues on the application of data mining
Adaptive Intrusion Detection: A Data Mining Approach
Artificial Intelligence Review - Issues on the application of data mining
The segment support map: scalable mining of frequent itemsets
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
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 associations with numeric variables
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
Efficient runtime generation of association rules
Proceedings of the tenth international conference on Information and knowledge management
Scalable frequent-pattern mining methods: an overview
Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
What's interesting about Cricket?: on thresholds and anticipation in discovered rules
ACM SIGKDD Explorations Newsletter
Constrained frequent pattern mining: a pattern-growth view
ACM SIGKDD Explorations Newsletter
Shared State for Distributed Interactive Data Mining Applications
Distributed and Parallel Databases - Special issue: Parallel and distributed data mining
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Data Mining and Knowledge Discovery
Is Sampling Useful in Data Mining? A Case in the Maintenance of Discovered Association Rules
Data Mining and Knowledge Discovery
Constraint-Based Rule Mining in Large, Dense Databases
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
Bottom-Up Association Rule Mining in Relational Databases
Journal of Intelligent Information Systems - Special issue on data warehousing and knowledge discovery
A lattice-based approach for I/O efficient association rule mining
Information Systems - Databases: Creation, management and utilization
Effective discovery of exception class association rules
Journal of Computer Science and Technology
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Mining Multiple-Level Association Rules in Large Databases
IEEE Transactions on Knowledge and Data Engineering
Finding Interesting Patterns Using User Expectations
IEEE Transactions on Knowledge and Data Engineering
A New Approach to Online Generation of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Mining Associations with the Collective Strength Approach
IEEE Transactions on Knowledge and Data Engineering
Aggregation of Imprecise and Uncertain Information in Databases
IEEE Transactions on Knowledge and Data Engineering
Finding Localized Associations in Market Basket Data
IEEE Transactions on Knowledge and Data Engineering
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Online Generation of Profile Association Rules
IEEE Transactions on Knowledge and Data Engineering
Analyzing the Subjective Interestingness of Association Rules
IEEE Intelligent Systems
Simple association rules (SAR) and the SAR-based rule discovery
Computers and Industrial Engineering
Fuzzy association rules and the extended mining algorithms
Information Sciences—Informatics and Computer Science: An International Journal
Distributed mining of classification rules
Knowledge and Information Systems
Efficient Mining of Intertransaction Association Rules
IEEE Transactions on Knowledge and Data Engineering
Efficient Discovery of Functional Dependencies and Armstrong Relations
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Discovery of Generalized Association Rules with Multiple Minimum Supports
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Interesting Fuzzy Association Rules in Quantitative Databases
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Finding Association Rules That Trade Support Optimally against Confidence
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Mining Surprising Patterns Using Temporal Description Length
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Semantic Compression and Pattern Extraction with Fascicles
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
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
Web for Data Mining Applications
COMPSAC '00 24th International Computer Software and Applications Conference
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Incremental Refinement of Mining Queries
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Visualisation of Temporal Interval Association Rules
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
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
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
Distribution Discovery: Local Analysis of Temporal Rules
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Association Rules Using Rough Set and Association Rule Methods
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
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
Discovery of Core Episodes from Sequences
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Parallel and Distributed Data Mining: An Introduction
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Active Mining in a Distributed Setting
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
A template model for multidimensional inter-transactional association rules
The VLDB Journal — The International Journal on Very Large Data Bases
Unified descriptive language for association rules in data mining
Second international workshop on Intelligent systems design and application
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Domain knowledge to support the discovery process: user preferences
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Case studies: Commercial domain, single mining tasks systems: document explorer
Handbook of data mining and knowledge discovery
Guiding knowledge discovery through interactive data mining
Managing data mining technologies in organizations
Algorithms for mining system audit data
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
A methodology for hiding knowledge in databases
CRPIT '14 Proceedings of the IEEE international conference on Privacy, security and data mining - Volume 14
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Off to new shores: conceptual knowledge discovery and processing
International Journal of Human-Computer Studies
Metaqueries: semantics, complexity, and efficient algorithms
Artificial Intelligence
Forecasting Association Rules Using Existing Data Sets
IEEE Transactions on Knowledge and Data Engineering
Building an Association Rules Framework to Improve Product Assortment Decisions
Data Mining and Knowledge Discovery
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
Visualizing constraint-based temporal association rules
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A Framework for Evaluating Knowledge-Based Interestingness of Association Rules
Fuzzy Optimization and Decision Making
Pushing Convertible Constraints in Frequent Itemset Mining
Data Mining and Knowledge Discovery
Mining Surprising Periodic Patterns
Data Mining and Knowledge Discovery
Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
Mining Frequent Itemsets without Support Threshold: With and without Item Constraints
IEEE Transactions on Knowledge and Data Engineering
Pruning and Visualizing Generalized Association Rules in Parallel Coordinates
IEEE Transactions on Knowledge and Data Engineering
Generating a Condensed Representation for Association Rules
Journal of Intelligent Information Systems
Information Sciences—Informatics and Computer Science: An International Journal
Mining generalized association rules on biomedical literature
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Rule interestingness analysis using OLAP operations
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Opportunity map: identifying causes of failure - a deployed data mining system
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Constraining and summarizing association rules in medical data
Knowledge and Information Systems
Configuring policies in public health applications
Expert Systems with Applications: An International Journal
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis
Expert Systems with Applications: An International Journal
Finding association rules that trade support optimally against confidence
Intelligent Data Analysis
Using metarules to organize and group discovered association rules
Data Mining and Knowledge Discovery
Out-of-core coherent closed quasi-clique mining from large dense graph databases
ACM Transactions on Database Systems (TODS)
Visual Analytics: A 2D-3D visualization support for human-centered rule mining
Computers and Graphics
Visualization of attractive and repulsive zones between variables
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
A new approach to mine frequent patterns using item-transformation methods
Information Systems
Interactive visual exploration of association rules with rule-focusing methodology
Knowledge and Information Systems
Measuring the interestingness of discovered knowledge: A principled approach
Intelligent Data Analysis
Reducing redundancy in characteristic rule discovery by using integer programming techniques
Intelligent Data Analysis
Rule discovery for event histories
Intelligent Data Analysis
Evaluation of rule interestingness measures in medical knowledge discovery in databases
Artificial Intelligence in Medicine
Redundant association rules reduction techniques
International Journal of Business Intelligence and Data Mining
Statistical mining of interesting association rules
Statistics and Computing
Including the user in the knowledge discovery loop: interactive itemset-driven rule extraction
Proceedings of the 2008 ACM symposium on Applied computing
DIWEB'06 Proceedings of the 5th WSEAS International Conference on Distance Learning and Web Engineering
Removing biases in unsupervised learning of sequential patterns
Intelligent Data Analysis
ACM SIGKDD Explorations Newsletter
A Methodology for Exploring Association Models
Visual Data Mining
Visual Exploration of Frequent Itemsets and Association Rules
Visual Data Mining
Visual Mining of Association Rules
Visual Data Mining
Building an expert travel agent as a software agent
Expert Systems with Applications: An International Journal
Enhancing the Interaction between Agents and Users
SBIA '08 Proceedings of the 19th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Research about Security Audit Platform in E-Government System
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Interestingness filtering engine: Mining Bayesian networks for interesting patterns
Expert Systems with Applications: An International Journal
Knowledge discovery query language (KDQL)
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Profiling and identification of P2P traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
Image mining using association rules derived from feature matrix
Proceedings of the International Conference on Advances in Computing, Communication and Control
CP-summary: a concise representation for browsing frequent itemsets
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Association rules mining including weak-support modes using novel measures
WSEAS Transactions on Computers
Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures
Knowledge Acquisition: Approaches, Algorithms and Applications
Constructing Associative Classifiers from Decision Tables
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Intelligent assistance for teachers in collaborative e-learning environments
Computers & Education
RMAIN: Association rules maintenance without reruns through data
Information Sciences: an International Journal
Generalized time related sequential association rule mining and traffic prediction
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Examples, counterexamples, and measuring fuzzy associations
Fuzzy Sets and Systems
Information Sciences: an International Journal
Interactive visual summarization of multidimensional data
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Personalizing user-agent interaction
Knowledge-Based Systems
Building respectful interface agents
International Journal of Human-Computer Studies
Testing terrorism theory with data mining
International Journal of Data Analysis Techniques and Strategies
Visualizing frequent itemsets, association rules, and sequential patterns in parallel coordinates
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
A new and useful syntactic restriction on rule semantics for tabular datasets
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
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
Imprecise causality in mined rules
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Retail marketing segmentation and customer profiling for forecasting sales
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Using ontologies to facilitate post-processing of association rules by domain experts
Information Sciences: an International Journal
An evaluation of heuristics for rule ranking
Artificial Intelligence in Medicine
A novel hybrid approach for interestingness analysis of classification rules
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
Rule generation for categorical time series with Markov assumptions
Statistics and Computing
An efficient classifier design integrating rough set and set oriented database operations
Applied Soft Computing
An efficient classifier design integrating Rough Set and Dempster-Shafer Theory
International Journal of Artificial Intelligence and Soft Computing
An efficient discovery of class-restricted MARs
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
A novel evolutionary method to search interesting association rules by keywords
Expert Systems with Applications: An International Journal
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Network node label acquisition and tracking
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Mining interesting XML-enabled association rules with templates
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Finding trees from unordered 0–1 data
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Interesting patterns extraction using prior knowledge
DS'06 Proceedings of the 9th international conference on Discovery Science
Redundant association rules reduction techniques
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
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 rough set based model to rank the importance of association rules
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Investigation of rule interestingness in medical data mining
AM'03 Proceedings of the Second international conference on Active Mining
Modeling interestingness of streaming classification rules as a classification problem
TAINN'05 Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks
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
Introducing a rule importance measure
Transactions on Rough Sets V
Interactive comprehensible data mining
Ambient Intelligence for Scientific Discovery
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
Multidimensional frequent pattern mining using association rule based constraints
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
SQL-like language for database mining
ADBIS'97 Proceedings of the First East-European conference on Advances in Databases and Information systems
Selecting feature subset via constraint association rules
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
GMA: an approach for association rules mining on medical images
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Knowledge discovery interestingness measures based on unexpectedness
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Expert Systems with Applications: An International Journal
A novel feature subset selection algorithm based on association rule mining
Intelligent Data Analysis
| Hi-index | 0.01 |
Association rules, introduced by Agrawal, Imielinski, and Swami, are rules of the form “for 90% of the rows of the relation, if the row has value 1 in the columns in set W, then it has 1 also in column B”. Efficient methods exist for discovering association rules from large collections of data. The number of discovered rules can, however, be so large that browsing the rule set and finding interesting rules from it can be quite difficult for the user. We show how a simple formalism of rule templates makes it possible to easily describe the structure of interesting rules. We also give examples of visualization of rules, and show how a visualization tool interfaces with rule templates.