Data Mining, a Heuristic Approach
✍ Scribed by Hussein A. Abbass, Ruhul Amin Sarker, Charles S. Newton
- Publisher
- IGI Global
- Year
- 2002
- Tongue
- English
- Leaves
- 310
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Real life problems are known to be messy, dynamic and multi-objective, and involve high levels of uncertainty and constraints. Because traditional problem-solving methods are no longer capable of handling this level of complexity, heuristic search methods have attracted increasing attention in recent years for solving such problems. Inspired by nature, biology, statistical mechanics, physics and neuroscience, heuristics techniques are used to solve many problems where traditional methods have failed. Data Mining: A Heuristic Approach will be a repository for the applications of these techniques in the area of data mining.
✦ Subjects
Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;
📜 SIMILAR VOLUMES
Another must by for any level Sas user! Real world examples are the best way to learn. Another great buy!
This book gives a smooth, motivated and example-richintroduction to clustering, which is innovative in many aspects.Answers to important questions that are very rarely addressed if addressed at all, are provided.Examples:(a) what to do if the user has no idea of the numberof clusters and/or their lo
Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clusteri