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 data-driven phrase mining 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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Compétences que vous acquerrez
Université de l'Illinois à Urbana-Champaign
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- 5 stars57,14 %
- 4 stars23,05 %
- 3 stars12,66 %
- 2 stars3,89 %
- 1 star3,24 %
Meilleurs avis pour LA DÉCOUVERTE DE RÉPÉTITIONS DANS L'EXPLORATION DE DONNÉES
Great data mining. Really having fun with the assignment.
The course is very helpful and brings fascinating insights for projects.
Good course. The explanation for the optional programming assignment is very poor.
Excellent course that summarizes a very broad and complex topic. Definitely recommend.
À propos du Spécialisation Exploration de données
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.
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