Concepedia

Semi-supervised learning using frequent itemset and ensemble learning for SMS classification

Ishtiaq Ahmed, Rahman Ali, Donghai Guan, Young-Koo Lee, Sungyoung Lee, TaeChoong Chung

Expert Systems with Applications · 2014 · 61 citations · 33 references

Concepts

ComputingComputer ScienceInformation TechnologyData MiningMachine LearningClassificationEnsemble MethodsFrequent Pattern MiningSemi-supervised LearningSequence MiningText MiningAutomatic Text ClassificationFrequency-based Text ClassificationFrequent Itemset MiningSemi-supervised Ensemble LearningShort Message Service (Sms)

References

33

Random Forests

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm

A. P. Dempster, N. M. Laird, Donald B. Rubin · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49.7K citations

Public Health, Biostatistics, Bayesian Data Analysis +16

Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.3K citations

Computing, Computer Science, Machine Learning +12

Nearest neighbor pattern classification

Thomas M. Cover, Peter E. Hart · IEEE Transactions on Information Theory · 1967 · 16.1K citations

Computing, Computer Science, Data Mining +11

Libsvm : A library for support vector machines

Vittorio Ferrari · Medical Entomology and Zoology · 2008 · 10.1K citations

Computing, Computer Science, Data Mining +11