Using market basket analysis to integrate and motivate topics in discrete structures
Proceedings of the 37th SIGCSE technical symposium on Computer science education
The effect of threshold values on association rule based classification accuracy
Data & Knowledge Engineering
Enhancing quality of knowledge synthesized from multi-database mining
Pattern Recognition Letters
A Novel Rule Ordering Approach in Classification Association Rule Mining
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
International Journal of Business Intelligence and Data Mining
Argument Based Moderation of Benefit Assessment
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Arguing from Experience to Classifying Noisy Data
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Parallel TID-based frequent pattern mining algorithm on a PC Cluster and grid computing system
Expert Systems with Applications: An International Journal
Software—Practice & Experience
PADUA: a protocol for argumentation dialogue using association rules
Artificial Intelligence and Law
Tidset-based parallel FP-tree algorithm for the frequent pattern mining problem on PC clusters
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Finding temporal patterns in noisy longitudinal data: a study in diabetic retinopathy
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Trend mining in social networks: a study using a large cattle movement database
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Frequent pattern trend analysis in social networks
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
RM-Tool: A framework for discovering and evaluating association rules
Advances in Engineering Software
Multi-agent based classification using argumentation from experience
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Temporal approach to association rule mining using t-tree and p-tree
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Multi-party argument from experience
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
PISA: A framework for multiagent classification using argumentation
Data & Knowledge Engineering
Classification based on specific rules and inexact coverage
Expert Systems with Applications: An International Journal
Multi-agent based classification using argumentation from experience
Autonomous Agents and Multi-Agent Systems
Load balancing approach parallel algorithm for frequent pattern mining
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
Context Based Positive and Negative Spatio-Temporal Association Rule Mining
Knowledge-Based Systems
Finding Associations in Composite Data Sets: The CFARM Algorithm
International Journal of Data Warehousing and Mining
Evaluating the Valuable Rules from Different Experience Using Multiparty Argument Games
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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Two new structures for Association Rule Mining (ARM), the T-tree, and the P-tree, together with associated algorithms, are described. The authors demonstrate that the structures and algorithms offer significant advantages in terms of storage and execution time.