Contents
Abstract
As a popular data mining task, frequent pattern mining has been proven to be help- ful for non-experts. For example, mining frequent purchased products helps store managers increase sales. As another example, finding popular courses assists uni- versity administrators arrange courses to avoid schedule conflicts. However, many data mining researchers have focused on improving algorithmic efficiency, but have put less focus on providing non-experts with a system designed specifically for these non-experts.
In my M.Sc. thesis, I propose such a system, called PatternShow, which consists of (i) a user-friendly frontend web interface along with a visualization tool called BundleVis to show effectively frequent patterns for non-expert miners and (ii) a cloud-enabled backend that offers scalable frequent pattern mining. Results of my user study show the effectiveness of PatternShow in delivering scalable frequent pattern mining for non-expert data miners.
PatternShow
The PatternShow is published in BigDAS 2015.
BundleVis
BundleVis is a visualization tool to show effectively frequent patterns for non-expert miners.
![initial Initial visualization for the course dataset](https://i0.wp.com/zhaohanphd.com/uploads/2021/12/initial.png?resize=750%2C847&ssl=1)
![BundleVis. a frequent itemset visualization. Course 472 is clicked BundleVis. A frequent itemset visualization. Course 472 is clicked.](https://i0.wp.com/zhaohanphd.com/uploads/2016/10/BundleVis.-a-frequent-itemset-visualization.-Course-472-is-clicked.jpg?resize=750%2C421&ssl=1)
![472 and 435 clicked 472 and 435 clicked](https://i0.wp.com/zhaohanphd.com/uploads/2021/12/472_and_435_clicked.png?resize=750%2C348&ssl=1)
Slides
![Zhao Han MSc thesis defense presentation first slide Zhao Han MSc thesis defense presentation first-slide](https://i0.wp.com/zhaohanphd.com/uploads/2016/10/Zhao-Han-MSc-thesis-defense-presentation-first-slide.jpg?resize=750%2C422&ssl=1)