11312 modules
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COMP6237 2028-29
Data Mining
The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and data management.
This course will introduce key concepts in data mining, information extraction and information indexing; including specific algorithms and techniques for feature extraction, clustering, outlier detection, topic modelling and prediction of complex unstructured data sets. By taking this course you will be given a broad view of the general issues surrounding unstructured and semi-structured data and the application of algorithms to such data. At a practical level you will have the chance to explore an assortment of data mining techniques which you will apply to problems involving real-world data. -
COMP6237 2029-30
Data Mining
The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and data management.
This course will introduce key concepts in data mining, information extraction and information indexing; including specific algorithms and techniques for feature extraction, clustering, outlier detection, topic modelling and prediction of complex unstructured data sets. By taking this course you will be given a broad view of the general issues surrounding unstructured and semi-structured data and the application of algorithms to such data. At a practical level you will have the chance to explore an assortment of data mining techniques which you will apply to problems involving real-world data. -
COMP6237 2027-28
Data Mining
The challenge of data mining is to transform raw data into useful information and actionable knowledge. Data mining is the computational process of discovering patterns in data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and data management.
This course will introduce key concepts in data mining, information extraction and information indexing; including specific algorithms and techniques for feature extraction, clustering, outlier detection, topic modelling and prediction of complex unstructured data sets. By taking this course you will be given a broad view of the general issues surrounding unstructured and semi-structured data and the application of algorithms to such data. At a practical level you will have the chance to explore an assortment of data mining techniques which you will apply to problems involving real-world data. -
STAT6144 2026-27
Data Mining
New sources of data in a wide range of formats contain valuable information, but extracting this information is often challenging using traditional tools. This module introduces modern techniques for analysing such data and demonstrates how they may be put into action. Methods for handling structured and unstructured data are discussed, including techniques for the analysis of textual data. -
MATH6183 2026-27
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MATH6183 2027-28
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MATH6183 2028-29
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MATH6183 2030-31
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MATH6183 2025-26
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MATH6183 2029-30
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques.