This course Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and ffciency. Topics ...

This course is available with permission as an outside option to students on other programmes where regulations permit. Machine learning and data mining are emerging fields between statistics and ...

This may mean that you’re not able to get a place on this course. Machine learning and data mining are emerging fields between statistics and computer science which focus on the statistical objectives ...

Identify the key components of the data mining pipeline and describe how they're related Apply techniques to address challenges in each component of the data mining pipeline. Identify particular ...

A practical approach to data mining with large volumes of complex data ... business examples and research literature. The fourth number of the course code shows the level of the course. For example, ...

A practical approach to data mining with large volumes of complex data; prepare, cleanse and visualise data; supervised and unsupervised modelling; ensemble and bundling techniques; use of leading ...

Statistical analyses, along with forecasting and data mining techniques will be taught. Classroom teaching will be combined with software use. You can take the course listed below as individual ...

The courses offered in this catalog are a curated collection of learning materials that provide an overview of Industry 4.0. It is designed to provide resources that businesses can use to understand ...

This introductory data mining course will give an overview of the models and algorithms used in data mining, including association rules, classification, clustering, etc. The course will teach the ...

This introductory data mining course will give an overview of the models and algorithms used in data mining, including association rules, classification, and clustering. The course will teach the ...

8. Decision trees. Decision trees use real data-mining algorithms to help with classification. A decision-tree process will generate the rules followed in a process. Decision trees are useful for ...