Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
| # | Year / Semester | Institute | Department | Course / Remark | Lecturer |
|---|---|---|---|---|---|
| 1. | 2023 - Year Term 1 | Full Time | CDS | CDS3004 - Data Mining | Prof. Wong Man Leung |
| 2. | 2022 - Second Semester | - | Computing & Decision Science | CDS3004 - Data Mining | Prof. Wong Man Leung |
| 3. | 2021 | - | Computing & Decision Science | CDS3004 - Data Mining | Prof. Wong Man Leung |
Guidelines and details on what it means to publish
More information on the many textbooks published for students
High-quality content for students and researchers working in the humanities
Providing partnership and benefits to our communities.
Academic & Professional Book Centre
)
