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Advanced Data Mining with Weka

Ian Witten, Peter Reutemann, Jemma König, Eibe Frank, and Mark Hall

Ian Witten, Peter Reutemann, Jemma König, Eibe Frank, and Mark Hall

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone who deals in data. You should have completed Data Mining with Weka and More Data Mining with Weka – or be an experienced Weka user. Although the course includes some scripting with Python, you need no prior knowledge of the language. You will have to install and configure some software components; we provide full instructions. You can use the hashtag #FLadvanceddatamining to talk about this course on social media.

Topics Covered

Read more

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone who deals in data. You should have completed Data Mining with Weka and More Data Mining with Weka – or be an experienced Weka user. Although the course includes some scripting with Python, you need no prior knowledge of the language. You will have to install and configure some software components; we provide full instructions. You can use the hashtag #FLadvanceddatamining to talk about this course on social media.

Topics Covered

Time series analysis
Data stream mining
Incremental classifiers
Evolving data streams
Support vector machines
Accessing data mining in R
Distributed data mining
Map-reduce framework
Scripting data mining in Python and Groovy
Applications: Soil analysis, Sentiment analysis, Bioinformatics, MRI neuroimaging, Image classification

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Time

20 hours

Via

FutureLearn

Institution

The University of Waikato

Instructors

Ian Witten

Peter Reutemann

Jemma König

Eibe Frank

Mark Hall

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