CSCD 409 — Data Mining & Warehousing
Computer Science · University of Ghana
Introduction to data mining and motivating challenges. Types of data, measures of similarity and distance. Data exploration and warehousing. Supervised learning. Bias and variance. Classification techniques and their evaluation. Clustering. Association and sequence rule mining. This course will apply computing principles, probability and statistics relevant to the data mining discipline to analyze data. A thorough understanding of model programming with data mining tools, algorithms for estimation, prediction, and pattern discovery. Analyze a problem, identifying and defining the computing requirements appropriate to its solution: data collection and preparation, functional requirements, selection of models and prediction algorithms, software, and performance evaluation
- Credits
- 3
- Level
- Level 400
Other courses on this programme
- CSCD 400 — Project
- CSCD 415 — Compilers
- CSCD 416 — System Programming
- CSCD 417 — Theory and Survey of Programming Languages
- CSCD 418 — Computer Systems Security
- CSCD 419 — Formal Methods and Models
- CSCD 421 — Accounting Principles in Computing
- CSCD 422 — Human Computer Interaction
- CSCD 423 — Software Modeling and Simulation
- CSCD 424 — Management Principles in Computing
- CSCD 426 — Multimedia Applications
- CSCD 427 — Data Communication & Networking II
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Start freeCourse details from University of Ghana Volume 3 Handbook for the Bachelor's Degree: Course Descriptions for Programmes in the Sciences (2017).