Event Title
Data Mining and Statistics: A Comparison of Data Analysis Techniques
Location
CSU
Student's Major
Computer Information Science
Student's College
Science, Engineering and Technology
Mentor's Name
Ann Quade
Mentor's Department
Computer Information Science
Mentor's College
Science, Engineering and Technology
Second Mentor's Department
College of Science, Engineering and Technology
Second Mentor's College
Science, Engineering and Technology
Description
Data mining offers researchers a methodology to sort through large quantities of data to identify pattems, trends, relationships, and information. I shall present an in depth analysis of a data set using the data mining process and contrast the results to a traditional statistical analysis of the same data set. Data for the data set was obtained from over 200 students who were enrolled last fall semester in the first three courses required for the computer science major. I will be examining the similarities and the differences between men and women in computer-related attitudes and self-efficacy (confidence) towards pursuing a degree in computer science.
Data Mining and Statistics: A Comparison of Data Analysis Techniques
CSU
Data mining offers researchers a methodology to sort through large quantities of data to identify pattems, trends, relationships, and information. I shall present an in depth analysis of a data set using the data mining process and contrast the results to a traditional statistical analysis of the same data set. Data for the data set was obtained from over 200 students who were enrolled last fall semester in the first three courses required for the computer science major. I will be examining the similarities and the differences between men and women in computer-related attitudes and self-efficacy (confidence) towards pursuing a degree in computer science.
