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

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Developing Decision Tree Using ID3 for Paddy Classification

Cho, May Latt; Htun, Moe Sanda (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)

Data Mining is the task of discovering interesting pattern from large amounts of data where the data can be stored in database, data warehouse. Data classification is the process of building a model from available data ...
Sale Forecasting for Hot-Drink Productivity Using Naïve Bayesian Classification

Hlaing, Su Su Swe; Htun, Thaung Myint (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)

Classification is one of the most popular data mining tasks with a wide ranges of application and lots of algorithms have been proposed to build scalable classifiers. Several data mining techniques and classification methods ...
Suggesting Mode of Delivery by Using Iterative Dichotomiser3 (ID3) Algorithm

Aye, Yin Mon; Nwe, Khine Moe (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)

Data mining is a process that has a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. Classification is the process of finding a set of models that ...

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