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Pattern Discovery in Data Mining

Course Summary

Learn the basic concepts of data mining and dive deep into pattern discovery methods and their applications.


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    Course Syllabus

    This course will be covering the following topics:

    • Introduction to data mining
    • Concepts and challenges in pattern discovery and analysis
    • Scalable pattern discovery algorithms
    • Pattern evaluation
    • Mining flexible patterns in multi-dimensional space
    • Mining sequential patterns
    • Mining graph patterns
    • Pattern-based classification
    • Application examples of pattern discovery

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    Recommended Background

    For this course you need basic computing proficiency including some programming experience in a typical programming language, such as C++, Java, or Python, knowledge of basic concepts of databases, artificial intelligence, and statistics.

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    Course Format

    The course will have video lectures, accompanied by quizzes and peer graded assignments.


Course Fee:
Free

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source , Development & Implementations and Data & Information Management Community

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