Add to ORKGGoals: Introduce students to data mining techniques and best practices. Content: This course includes classification, prediction, data reduction, and data visualization. Advanced regression, network and cluster analysis. Taught: Alternate Years Prerequisites: QMBE 1320 (grade of C- or better) Credits:
Making sense of the exponentially expanding sources of structured electronic data collected by organ...
Background: We expect a background in Data structure, Database system, a preliminary knowledge of st...
Although a Data Mining Methods course sequence is a late comer to the Information Systems curriculum...
Goals: Introduce students to data mining techniques and best practices. Content: This course include...
Goals: Introduce students to data mining techniques and best practices. Content: This course include...
Goals: To enable students to utilize advanced mathematical models and data management techniques. Co...
Goals: To enable students to utilize advanced mathematical models and data management techniques. Co...
Data Mining studies algorithms and computational paradigms that allow computers to find patterns and...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To enable students to utilize advanced mathematical models and data management techniques. Co...
This course studies the fundamental concepts, issues, and techniques of data mining. Topics include ...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Making sense of the exponentially expanding sources of structured electronic data collected by organ...
Background: We expect a background in Data structure, Database system, a preliminary knowledge of st...
Although a Data Mining Methods course sequence is a late comer to the Information Systems curriculum...
Goals: Introduce students to data mining techniques and best practices. Content: This course include...
Goals: Introduce students to data mining techniques and best practices. Content: This course include...
Goals: To enable students to utilize advanced mathematical models and data management techniques. Co...
Goals: To enable students to utilize advanced mathematical models and data management techniques. Co...
Data Mining studies algorithms and computational paradigms that allow computers to find patterns and...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Goals: To enable students to utilize advanced mathematical models and data management techniques. Co...
This course studies the fundamental concepts, issues, and techniques of data mining. Topics include ...
Goals: To introduce frequently used data analysis techniques, to develop the quantitative skills nec...
Making sense of the exponentially expanding sources of structured electronic data collected by organ...
Background: We expect a background in Data structure, Database system, a preliminary knowledge of st...
Although a Data Mining Methods course sequence is a late comer to the Information Systems curriculum...