PPT-Special Topics in Educational Data Mining HUDK5199 Spring term, 2013

Special Topics in Educational Data Mining HUDK5199 Spring term 2013 February 25 2013 Todays Class Feature Engineering and Distillation What Special Rules for Today Everyone Votes Everyone Participates. Ryan . S.J.d. . Baker. PSLC Summer School 2010. Welcome to the EDM track!. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . HUDK5199. Spring term, 2013. March 27, 2013. Today’s Class. Correlation Mining. Causal Data Mining. The Situation. You have 100 variables, and you want to know how . each one correlates . to a. variable of interest. Ryan . S.J.d. . Baker. PSLC Summer School 2012. Welcome to the EDM track!. On behalf of the track lead, John Stamper, and all of our colleagues. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . HUDK5199. Spring term, 2013. March 27, 2013. Today’s Class. Correlation Mining. Causal Data Mining. The Situation. You have 100 variables, and you want to know how . each one correlates . to a. variable of interest. February 13, 2013. Special Session on Excel. We couldn’t find a time that worked for a majority of you guys and worked for me. So instead, we will start using the time between 4:40pm-5pm to go through Excel, . 12-. 1. Data mining is a rapidly growing field of business analytics focused on better understanding of characteristics and patterns among variables in large data sets.. It is used to identify and understand hidden patterns that large data sets may contain.. HUDK5199. Spring term, . 2013. February . 18, 2013. Today’s Class. Classification. And then some discussion of features in Excel between end of class and 5pm. We will start today, and continue in future classes as needed. HUDK5199. Spring term, 2013. March 13, 2013. Today’s Class. Imputation in Prediction. Missing Data. Frequently, when collecting large amounts of data from diverse sources, there are missing values for some data sources. HUDK5199. Spring term, 2013. February 6, . 2013. Today’s Class. Diagnostic Metrics. Accuracy. Accuracy. One of the easiest measures of model goodness is . accuracy. Also called . agreement. , when measuring inter-rater reliability. Copyright © 2013 Pearson Education, Inc. publishing as Prentice Hall. 12-. 1. The Scope of Data Mining. Data Exploration and Reduction. Classification. Classification Techniques. Association Rule Mining. HUDK5199. Spring term, 2013. January . 28, . 2013. Please Ask Questions. After class, three separate people asked me “what is an algorithm?”. It’s a recipe. Please ask questions if I use terms that are unfamiliar to you. Core Methods in Educational Data Mining EDUC691 Spring 2019 Welcome! Administrative Stuff Is everyone signed up for class? If not, and you want to receive credit, please talk to me after class Class Schedule Core Methods in Educational Data Mining EDUC 691 Spring 2019 Assignment BA4 Questions? Comments? Concerns? Association Rule Mining Today’s Class The Land of Inconsistent Terminology Association Rule Mining SPECIAL EDUCATION DIRECTORS’ . Peg Brown-Clark. Assistant Commissioner. Exceptional Student Services Unit. Vision. All students . in Colorado will become educated and productive citizens capable of succeeding in a globally competitive workforce..