Fast Algorithms for Mining Association Rules in Large Databases
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Summary
Two new algorithms for solving thii problem that are fundamentally different from the known algorithms are presented and empirical evaluation shows that these algorithms outperform theknown algorithms by factors ranging from three for small problems to more than an order of magnitude for large problems.
- Type
- article
- Published
- 1994-09-12
- Cited by
- 13,503
- References
- 41
- OpenAlex
- https://openalex.org/W1506285740
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3131928
Keywords
Association rule learning, Computer science, Data mining, Database, Algorithm
References
- Efficient Algorithms for Discovering Association Rules
- Set-Oriented Mining for Association Rules
- Research Directions in Knowledge Discovery
- C4.5: Programs for Machine Learning (書評)
- An Interval Classifier for Database Mining Applications
- Programs for Machine Learning
- Discovery, Analysis, and Presentation of Strong Rules
- Efficient Induction of Logic Programs
- Scientific Discovery: Computational Explorations of the Creative Processes
- Knowledge Discovery in Databases: An Attribute-Oriented Approach
- Knowledge mining by imprecise querying: a classification-based approach
- Set-oriented mining for association rules in relational databases
- Practitioner problems in need of database research
- Database Mining: A Performance Perspective
- C4.5: Programs for Machine Learning
- Data Mining: the search for knowledge in databases.
- Mining association rules between sets of items in large databases
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.
- Dependency Inference
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- Ontology-driven Association Rules Extraction: a Case of Study
- A Knowledge Model Sharing Based Approach to Privacy-Preserving Data Mining
- Eksploracja danych - przegląd dostępnych metod i dziedzin zastosowań
- Supervised learning from embedded subgraphs
- Application of data mining techniques in bioinformatics
- Tool for discovering sequential patterns in financial markets
- Evaluating generalized association rules through objective measures
- Iterative Mining for Rules with Constrained Antecedents
- An Approach to Advanced Data Synchronization in Complex Process Control Systems
- A Framework for Synthesizing Arbitrary Boolean Expressions Induced by Frequent Itemsets
- Mining Administrative and Clinical Diabetes Data with Temporal Association Rules
- Publicidade baseada em informação de contexto
- Innovations in Web Applications by Using the Artificial Intelligence Paradigm
- Mining the Web for Sense Discrimination Patterns
- Density-based clustering in large databases using projections and visualizations
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