Brief Description of Course Content Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to ...

Data Quality Issues: The effectiveness of data mining heavily depends on the quality of the data being analyzed. Incomplete, inaccurate, or ambiguous data can lead to misleading results.

Image mining is one of important techniques in data mining, which involved in multiple disciplines. Image classification refers the tagging the images into a number of predefined sets.

Association rules mining helps us reveal complex relationships between microorganisms and serves as a feature selection tool to improve disease classification.

Course Topics Tuesday, October 28: Often researchers are faced with data in very high dimensions (e.g. too many predictors for a regression model), or must come up with a rule to classify data in ...