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Behavior Mining for Big Data : Promoting Critical Thinking in Data Science Education
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chen, Zhengxin |
| Copyright Year | 2014 |
| Abstract | The concept of behavior mining has been proposed some time ago. Instead of focusing on the data alone, behavior mining endorses the idea of exploring and mining the underlying natural, social and other kinds of behaviors which have produced the data, and discovering hidden interesting patterns behind these behaviors. Behavior mining for big data offers excellent opportunity for promoting critical thinking in data science education. In this paper we discuss the importance of behavior mining at the era of big data, describe implications of behavior mining for big data, and outline three case studies to illustrate its applications, and to show how behavior mining can promote critical thinking in data science education. Keywords—Big Data, data mining, behavior Mining, critical thinking, data science education |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://worldcomp-proceedings.com/proc/p2014/FEC3174.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
