The growing complexity and volume of modern databases make it increasingly important for researchers and practitioners involved with association rule mining to make sense of the information they contain. ""Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection"" provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining. Covering a comprehensive range of topics, this book discusses underlying frameworks, mining techniques, interest metrics, and real-world application domains within the field.
| ISBN-13: | 9781605667546 |
| ISBN-10: | 1605667544 |
| Publisher: | Information Science Reference |
| Publication date: | 2010 |
| Edition description: | 1 |
| Pages: | 299 |
| Product dimensions: | Height: 11 Inches, Length: 8.5 Inches, Weight: 2.33249073196 Pounds, Width: 0.75 Inches |
| Author: | Yun Sing Koh, Nathan Rountree |
| Language: | en |
| Binding: | Hardcover |
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