Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.
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- 5 stars64.76%
- 4 stars24.72%
- 3 stars6.25%
- 2 stars2.47%
- 1 star1.77%
Good conceptual introduction, plus some hands on assignments that will increase the chances that you continue to create visualizations of the data you work with.
Really interesting. Even I have learned some visualization before, I still learned a lot from this class! Like network visualization.
Excellent introduction to data visualization. The lectures are interesting and high quality. I used D3.js to try different approaches, which was a bit time consuming but interesting.
Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.
关于 数据挖掘 专项课程
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.