Data Warehouse & Data Mining

Course Description:

You will find that this class is a window to the world of data warehouse and data mining technologies specifically focused to the the enterprise data warehouse, data warehouse architecture, different OLAP operations, KDD, preprocessing, data mining functionalities, Association Rule Mining, Classification, Clustering, different data mining applications, etc. You will be exposed to many data preprocessing techniques using WEKA toolkit through hands on activities !!

What You Will Do

You will have following primary objectives during this course:

• To familiarize the concepts and architectural types of data Warehouses.

• Provides efficient design and management of data storages using data warehousing and OLAP.

• To understand the fundamental processes concepts and techniques of data mining.

• To consistently apply knowledge concerning current data mining research and how this may contribute to the effective design and implementation of data mining applications.

• To provide advance research skills through the investigation of data-mining literature

You will be using a WEKA toolkit which you will perform different preprocessing, ARM, Classification and Clustering functions on the given datasets.

Main Expectations:

• Attend all classes. Your input and contribution is very important. If you are not in class, we cannot learn from you, and you cannot learn from other students.

• Follow ethical behavior during all class activities and understand the importance of ethical behavior for engineering practice. This includes but is not limited to why plagiarism is wrong, why cheating is wrong, and more importantly why striving for high quality practice based on your own work is critical to the success of an engineer.

• Come to each class prepared, having completed any reading assignments or homework assignments, and ready to discuss the readings and your assignment results.

• Be on-time for each class. If you are late, you not only disrupt others in the class when you enter, but you will miss out on important information.

• Participate fully in all classes and don't work on other class assignments or on computers during our class time.

• Turn in all assignments on time. Late assignments will not be accepted.

• Ask when you have a question. If you do not understand something that is being discussed, it is likely that others in the class do not understand as well. Asking questions is a very important part of the learning process.

• The work that you complete will be your best effort and of the highest quality. Learning to do work of high quality is important now and when you begin your career as a computer engineer.

• Work with others in the class on assignments. Working in teams is important in today’s engineering environment.

• Turn in will be your own work, not copied or unfairly extracted from other students or other sources.

• Be honest in your dealings with me and others in the class. High ethical standards are one of the cornerstones in engineering education and practice.

• Be engaged during class in whatever work that we are doing, and do not use computers or other electronic devices unless specifically instructed to do so. Please turn off cell phones before coming to class; texting or other electronic communications during class is strictly prohibited.

• Learn and have fun!