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
Scalable algorithms for mining large databases
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
On approximating rectangle tiling and packing
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
ACM Transactions on Information Systems (TOIS)
Adaptive Intrusion Detection: A Data Mining Approach
Artificial Intelligence Review - Issues on the application of data mining
Mining frequent patterns with counting inference
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Using Association Rules as Texture Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Constrained frequent pattern mining: a pattern-growth view
ACM SIGKDD Explorations Newsletter
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
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 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
Mining Optimized Association Rules with Categorical and Numeric Attributes
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Online Generation of Profile Association Rules
IEEE Transactions on Knowledge and Data Engineering
Efficient Mining of Intertransaction Association Rules
IEEE Transactions on Knowledge and Data Engineering
Mining Optimized Gain Rules for Numeric Attributes
IEEE Transactions on Knowledge and Data Engineering
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
Implication-Based Fuzzy Association Rules
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Mining Association Rules from XML Data
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Fuzzy Association Rules: Semantic Issues and Quality Measures
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Reducing Number of Decision Rules by Joining
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Density-Based Mining of Quantitative Association Rules
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Clustering Rules Using Empirical Similarity of Support Sets
DS '01 Proceedings of the 4th International Conference on Discovery Science
Datascape Survey Using the Cascade Model
DS '02 Proceedings of the 5th International Conference on Discovery Science
Mining Clusters with Association Rules
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Efficient Data Mining Based on Formal Concept Analysis
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
A template model for multidimensional inter-transactional association rules
The VLDB Journal — The International Journal on Very Large Data Bases
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
Data mining tasks and methods: Clustering: conceptual clustering
Handbook of data mining and knowledge discovery
A query-driven interesting rule discovery using associations and spanning operations
Data mining, rough sets and granular computing
Algorithms for mining system audit data
Data mining, rough sets and granular computing
Off to new shores: conceptual knowledge discovery and processing
International Journal of Human-Computer Studies
Objective and Subjective Algorithms for Grouping Association Rules
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
HyO-XTM: a set of hyper-graph operations on XML Topic Map toward knowledge management
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
Pushing Convertible Constraints in Frequent Itemset Mining
Data Mining and Knowledge Discovery
Frequent Pattern Mining on Message Passing Multiprocessor Systems
Distributed and Parallel Databases
Mining Frequent Itemsets without Support Threshold: With and without Item Constraints
IEEE Transactions on Knowledge and Data Engineering
A model for association rules based on clustering
Proceedings of the 2005 ACM symposium on Applied computing
Mining compressed frequent-pattern sets
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Information Sciences—Informatics and Computer Science: An International Journal
Mining condensed frequent-pattern bases
Knowledge and Information Systems
Adapting the CBA algorithm by means of intensity of implication
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Dealing with uncertainty in data mining and information extraction
Adherence clustering: an efficient method for mining market-basket clusters
Information Systems
Intelligent technology for well logging analysis
Intelligent information processing II
Bootstrapping rule induction to achieve rule stability and reduction
Journal of Intelligent Information Systems
Constraining and summarizing association rules in medical data
Knowledge and Information Systems
On Mining Instance-Centric Classification Rules
IEEE Transactions on Knowledge and Data Engineering
Comparing association rules and decision trees for disease prediction
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
Designing semantics-preserving cluster representatives for scientific input conditions
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
On compressing frequent patterns
Data & Knowledge Engineering
Using metarules to organize and group discovered association rules
Data Mining and Knowledge Discovery
Efficient association rule mining among both frequent and infrequent items
Computers & Mathematics with Applications
A graph-based clustering algorithm in large transaction databases
Intelligent Data Analysis
Toward supporting real-time mining for data residing on enterprise systems
Expert Systems with Applications: An International Journal
Association rule and quantitative association rule mining among infrequent items
Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007)
Discovering frequent itemsets by support approximation and itemset clustering
Data & Knowledge Engineering
SemGrAM: integrating semantic graphs into association rule mining
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Detecting anomalous longitudinal associations through higher order mining
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
First approach toward on-line evolution of association rules with learning classifier systems
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
ACM SIGKDD Explorations Newsletter
A Methodology for Exploring Association Models
Visual Data Mining
Identification of association rules between clusters
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining
Journal of Intelligent Information Systems
Combined Pattern Mining: From Learned Rules to Actionable Knowledge
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Maximum independent set of rectangles
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Deriving strong association mining rules using a dependency criterion, the lift measure
International Journal of Data Analysis Techniques and Strategies
Models for association rules based on clustering and correlation
Intelligent Data Analysis
QuantMiner: a genetic algorithm for mining quantitative association rules
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An efficient algorithm for finding dense regions for mining quantitative association rules
Computers & Mathematics with Applications
Genetic algorithm based framework for mining fuzzy association rules
Fuzzy Sets and Systems
Adapting the CBA algorithm by means of intensity of implication
Information Sciences: an International Journal
Information Sciences: an International Journal
Adherence clustering: an efficient method for mining market-basket clusters
Information Systems
Using a cosine-type measure to derive strong association mining rules
International Journal of Knowledge Engineering and Data Mining
A modified fuzzy c-means algorithm for association rules clustering
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Evaluating association rules and decision trees to predict multiple target attributes
Intelligent Data Analysis
Finding association rules in semantic web data
Knowledge-Based Systems
Coloring and maximum independent set of rectangles
APPROX'11/RANDOM'11 Proceedings of the 14th international workshop and 15th international conference on Approximation, randomization, and combinatorial optimization: algorithms and techniques
Study of a fuzzy clustering algorithm based on interval value
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
Mining interesting XML-enabled association rules with templates
KDID'04 Proceedings of the Third international conference on Knowledge Discovery in Inductive Databases
Evaluating Cluster Preservation in Frequent Itemset Integration for Distributed Databases
Journal of Medical Systems
Finding trees from unordered 0–1 data
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Simple and effective behavior tracking by post processing of association rules into segments
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
New similarity rules for mining data
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Discovering frequent itemsets using transaction identifiers
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
A matrix algorithm for mining association rules
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
New method for intrusion features mining in IDS
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
An extended two-phase architecture for mining time series data
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Using data mining technique to enhance tax evasion detection performance
Expert Systems with Applications: An International Journal
Research on text categorization based on a weakly-supervised transfer learning method
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Integration of multiple fuzzy FP-trees
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Mop: An Efficient Algorithm for Mining Frequent Pattern with Subtree Traversing
Fundamenta Informaticae
Incrementally mining high utility patterns based on pre-large concept
Applied Intelligence
Optimal leverage association rules with numerical interval conditions
Intelligent Data Analysis
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The authors consider the problem of clustering two-dimensional association rules in large databases. They present a geometric-based algorithm, BitOp, for performing the clustering, embedded within an association rule clustering system, ARCS. Association rule clustering is useful when the user desires to segment the data. They measure the quality of the segmentation generated by ARCS using the minimum description length (MDL) principle of encoding the clusters on several databases including noise and errors. Scale-up experiments show that ARCS, using the BitOp algorithm, scales linearly with the amount of data.