504049 – Business Intelligence Systems

Introduction

Business is the act of doing something productive to serve someone’s needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or using electronic media, and then these records become data. There is more data from customers’ responses and on the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so that it can evolve to become more effective and efficient in serving customer needs. And the cycle continues on.

Annoucement

  • Register group information at this form by 6-Jan-2019.
  • Propose you Final Project topic at this form by 13-Jan-2019.

Syllabus

  • Chapter 0: Course Introduction [PDF]
  • Chapter 1: Introduction to Business Intelligence [PDF]
  • Chapter 2: Business Intelligence – Concepts and Applications [PDF]

Books

  • Wilfried Grossmann, Stefanie Rinderle-Ma, [2015], Fundamentals of Business Intelligence, 1st Edition, Springer-Verlag GmbH Berlin Heidelberg
  • Ramesh Sharda, Dursun Delen, Efraim Turban, [2013], Business Intelligence: A Managerial Perspective on Analytics, 3rd Edition, Pearson, New Jersey.
  • Carlo Vercellis, [2009], Business Intelligence: Data Mining and Optimization for Decision Making, Wiley, New York.
  • Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, [2013], An Introduction to Statistical Learning with Applications in R, Springer, New York.
  • Charu C. Aggarwal, [2015], Data Mining: The Textbook, Springer, New York.
  • Jiawei Han, Micheline Kamber, Jian Pei, [2012], Data Mining: Concepts and Techniques, 3rd Edition, Morgan Kaufmann, San Francisco.
  • M. Narasimha Murty, V. Susheela Devi, [2011], Pattern Recognition: An Algorithmic Approach, Springer, New York.