The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics.
This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification.
| Pages : | 562 pages |
| Size : | PDF (604 pages, 9.9 MB) |
| Downloads: | 134 |
| Created: | 2020-08-28 |
| License: | For Personal Use Only |
| Author(s): | Mohammed J. Zaki, Wagner Meira, Jr. |