Developing Novel and Effective Approach for Association Rule Mining Using Progressive Sampling
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- Type
- article
- Published
- 2009-12-28
- Cited by
- 10
- References
- 37
- OpenAlex
- https://openalex.org/W2537030075
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18702987
Keywords
Association rule learning, Data mining, Apriori algorithm, Computer science, Overhead (engineering)
References
- A fast APRIORI implementation
- A Comparison of Standard and Interval Association Rules
- Efficient Frequent Itemsets Mining by Sampling
- Sampling Large Databases for Association Rules
- Evaluation of sampling for data mining of association rules
- Techniques for online exploration of large object-relational datasets
- Efficient progressive sampling
- Multi-Scaling Sampling: An Adaptive Sampling Method for Discovering Approximate Association Rules
- Sampling in association rule mining
- Analysis of sampling techniques for association rule mining
- Algorithms for association rule mining — a general survey and comparison
- A new two-phase sampling based algorithm for discovering association rules
- Mining frequent patterns without candidate generation
- A new sampling technique for association rule mining
- Exploratory mining and pruning optimizations of constrained associations rules
- Principles of Data Mining
- Association Rules Mining: A Recent Overview
- Analyzing the Subjective Interestingness of Association Rules
- What Makes Patterns Interesting in Knowledge Discovery Systems
- Data Mining: Concepts and Techniques
Cited by
- Design of fuzzy controller based on data mining
- Analysis of the progressive sampling-based approach using real life datasets
- A Study on Milestones of Association Rule Mining Algorithms in Large Databases
- On developing an effectual progressive sampling-based approach for association rule discovery
- Comparison and Evaluation of scaled data mining algorithms
- An Approach to Improve Generation of Association Rules in Order to Be Used in Recommenders
- An Improved Progressive Sampling based Approach for Association Rule Mining
- Analysis and Evaluation of a Framework for Sampling Database in Recommenders
- A Novel Approach to Enhance the Efficiency of Apriori Algorithm
- A STUDY ON EFFECTIVE MINING OF ASSOCIATION RULES FROM HUGE DATABASES
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