Scalable frequent-pattern mining methods: an overview
Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
ARminer: a data mining tool based on association rules
Journal of Computer Science and Technology
Alternative Interest Measures for Mining Associations in Databases
IEEE Transactions on Knowledge and Data Engineering
Mining Association Rules with Negative Items Using Interest Measure
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
ARMiner: A Data Mining Tool Based on Association Rules
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
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
Knowledge Hiding in Databases for concept-based data mining algorithms
WISICT '04 Proceedings of the winter international synposium on Information and communication technologies
An associative classifier based on positive and negative rules
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Efficient mining of both positive and negative association rules
ACM Transactions on Information Systems (TOIS)
Mining Customer Value: From Association Rules to Direct Marketing
Data Mining and Knowledge Discovery
Associative text categorization exploiting negated words
Proceedings of the 2006 ACM symposium on Applied computing
BLOSOM: a framework for mining arbitrary boolean expressions
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
An efficient approach to mining indirect associations
Journal of Intelligent Information Systems
Efficient association rule mining among both frequent and infrequent items
Computers & Mathematics with Applications
Jumping emerging patterns with negation in transaction databases - Classification and discovery
Information Sciences: 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)
Data mining from 1994 to 2004: an application-orientated review
International Journal of Business Intelligence and Data Mining
Privacy-MaxEnt: integrating background knowledge in privacy quantification
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Standardising the lift of an association rule
Computational Statistics & Data Analysis
Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Association Mining in Large Databases: A Re-examination of Its Measures
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Mining Interesting Infrequent and Frequent Itemsets Based on MLMS Model
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Efficient Mining of Event-Oriented Negative Sequential Rules
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Mining negative contrast sets from data with discrete attributes
Expert Systems with Applications: An International Journal
Elicitation of fuzzy association rules from positive and negative examples
Fuzzy Sets and Systems
Efficient mining of indirect associations using HI-mine
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Efficiently finding negative association rules without support threshold
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Mining a complete set of both positive and negative association rules from large databases
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Generating positive and negative exact rules using formal concept analysis: problems and solutions
ICFCA'08 Proceedings of the 6th international conference on Formal concept analysis
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Re-examination of interestingness measures in pattern mining: a unified framework
Data Mining and Knowledge Discovery
Discovering itemset interactions
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Mining negative generalized knowledge from relational databases
Knowledge-Based Systems
Transactions on rough sets XII
Re-mining positive and negative association mining results
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Generalization of association rules through disjunction
Annals of Mathematics and Artificial Intelligence
Re-mining item associations: Methodology and a case study in apparel retailing
Decision Support Systems
Mining flipping correlations from large datasets with taxonomies
Proceedings of the VLDB Endowment
Extended negative association rules and the corresponding mining algorithm
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Efficient mining of dissociation rules
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Study of positive and negative association rules based on multi-confidence and chi-squared test
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Semantic analysis of association rules via item response theory
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining exceptions in databases
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Mining for mutually exclusive gene expressions
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Positive and negative association rule mining on XML data streams in database as a service concept
Expert Systems with Applications: An International Journal
Mining indirect association rules
ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
Mining disjunctive minimal generators with TitanicOR
Expert Systems with Applications: An International Journal
An association rules algorithm based on kendall-τ
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
A heuristic for mining association rules in polynomial time
Mathematical and Computer Modelling: An International Journal
A formal model for mining fuzzy rules using the RL representation theory
Information Sciences: an International Journal
Computing Implications with Negation from a Formal Context
Fundamenta Informaticae - Concept Lattices and Their Applications
Extraction of association rules based on literalsets
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Tractable reasoning problems with fully-characterized association rules
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
Mining medical specialist billing patterns for health service management
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
Negative-GSP: an efficient method for mining negative sequential patterns
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
On detecting association-based clique outliers in heterogeneous information networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Misleading Generalized Itemset discovery
Expert Systems with Applications: An International Journal
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