Using special data mining
technique, Lee (2007) was able to develop a model that "is reusable for diagnostic, predictive and compositional modeling in a fast and easily scalable manner" within an e-learning web-based environment.
The following are the key directions in the field of privacy-preserving data mining
This study aims to extract and discover new valuable knowledge and patterns and to find the relation between student background information with student performance from educational data of School of Computing of University Utara Malaysia using association rule mining as data mining
technique to analyze and mine the postgraduate students' educational data to extract meaningful knowledge regarding the student performance.
Three data mining
models used: first was classification by decision tree, second was association rules by FP-Growth approach, and finally clustering by k-Means approach.
They proposed the concept of video data mining
based on data mining
Technical Services available through Graphet Data Mining
Securing distributed data mining
allows cooperative computation of data mining
algorithms without requiring the participating organizations to reveal their individuals data items to each other .
“We are pleased to offer this introductory webinar to practitioners and leaders who are excited about the prospects of predictive analytics and data mining
, but are mystified about where to begin or even how to prepare,” explained Eric King, president of The Modeling Agency.
Summary: In Part 1 of this series, data mining
was introduced as a new methodology for how legal departments can deal with big email.
Chemists and biomedical researchers, some in academia but most with drug companies, show how the numerical and statistical techniques that comprise data mining
can be used in drug discovery.
A meta-synthesis study was conducted of 60 research studies on educational data mining
(EDM) and their impacts on and outcomes for improving learning outcomes.