Students who complete the course should be able to • Know the latest development of knowledge discovery and data mining concepts and techniques. • Utilize the theories and algorithms for data mining and knowledge discovery. • Manipulate the possibilities and fundamental limitations that are included in data preprocessing steps of data mining. • Analyze and compare the performance of different mining methods on a wide range of datasets using data mining methods such association, classification and clustering analysis. • Apply the data mining method using WEKA tools for analysis. • Implement the relevant applications in specific domains such as medicine and health care, market basket analysis, etc.
Students who complete the course should be able to
preprocessing steps of data mining.
of datasets using data mining methods such association, classification and clustering
care, market basket analysis, etc.
Myanmar Development Foundation, Inc is a 501 (c)(3) nonprofit organization recognized by the IRS, and all donations to Myanmar Development Foundation are tax-deductible in accordance with IRS regulations. Myanmar Development Foundation is registered in New York. Tax ID: 86-2121456.
Missions of Myanmar Development Foundation are
1. To provide knowledge training and proper educational guidance – such as vocational trainings, IT, and ethical development
2. To provide foods, educational materials, and medical aids for those who are in need
3. To help people and community redevelopment because of humanitarian crisis