SENG 372

Course ID:

Course Code & Number

SENG 372

Course Title

Data Mining

Level

BS

Credit Hours/ ECTS Credits

(3+0+0) 3 TEDU Credits, 5 ECTS Credits

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Catalog Description

Knowledge discovery process: data preprocessing, data attributes, statistical description of data. Visualization. Statistical Learning: supervised learning and unsupervised learning. Pattern Evaluation: mining diverse frequent patterns and pattern mining applications. Data Mining Techniques: association rule mining, sequential patterns, clustering, text mining. Classification: decision tree, Bayes, rule- based classification. Cluster Analysis: partitioning-based, hierarchical, K-means, grid-based clustering.

Course Objectives

Software Usage

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Design Content

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