Browsing Local Conference on Parallel and Soft Computing by Subject "Accuracy"

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Implementation of Classification System for Dry Zone Plantation Based on ID3 Algorithm

Hlaing, Thazin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)

Classification is data analysis process that can be used to extract models describing important data classes or predict future data. Classification of large data sets is an important data mining problem. Decision tree, ...
Prediction Heart Disease Using Naive Bayesian Classification

Aye, Khin Myo; Yuzana (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)

Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surprising, because the conditional independence ...
Rule-based Expert System for Blood Bank

Khaing, Myint Soe; Htike, Thin Thin (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)

In this paper, rule-based expert system for Blood Donation Bank is proposed in this paper. Rule-based expert systems are a way to store and manipulate knowledge to interpret information in a useful way. They are often used ...

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