Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…

Due to the rapid advances in computing and sensing technologies, enormous amounts of data are being generated everyday in various applications. The integration of data mining and data visualization has been widely used to analyze these massive and complex data sets to discover hidden patterns. For both data mining and visualization to be…

Using examples of data from the areas of information retrieval and of multivariate data analysis, six hierarchic clustering algorithms (single link, median, centroid, group average, complete link, Wards's) are examined and evaluated by using three proposed coefficients of hierarchic structure. Nine references are cited. (EJS)

It was concluded that pictures are encoded differently depending on task expectation. Parallel access of visual and semantic memory codes occurs; but when recognition is expected, a visual cue provides faster access, and when expecting recall, verbal access is more efficient. (Author)

Presents an overview of current data gathering and analytical techniques for author cocitation analysis (ACA). Highlights include selection of the author set; retrieval of cocited author counts; multivariate analyses, including multidimensional scaling; data display techniques; an example for macroeconomics; interpretation and validation of…

This study attempts to analyze descriptors taken from subject categories in ERIC thesaurus and used as search terms on CROSS database Bibliographic Retrieval Services. An expectation ratio was computed and cluster analysis was conducted to discover subject relationships among databases. A list of databases retrieved and 12 references are appended.…