CSCI 5833: Data Mining Tools and Techniques Prerequisite: CSCI 3333 and CSCI 4333. Overview of the data mining process (e.g. CRISP-DM) including issues of data cleansing and data modeling. Characterization of data (structured, unstructured, time series). Examination of machine learners (neural networks, genetic programs). Critique of various data mining tools regarding functionality and application. Assessment of data mining domains using financial, bioinformatics and web-based repositories. CSCI 5333 recommended.