Information and knowledge in databases is usually hidden & our ability to extract it is limited. The development of techniques to assist in knowledge discovery & validation is becoming increasingly important due to the explosion in internet use & development of powerful sensors resulting in routine generation of terabytes of data needing to be analyzed in order to extract useful knowledge & information. Knowledge, as well as data, plays an important role in every aspect of scientific research. The internet for example provides access to near infinite information in an environment of zero wisdom. Discovering & validating this useful knowledge impacts on the ways businesses operate and the way people work. In presenting the latest and most advanced tools and techniques available for data and web mining strategies, Advanced Techniques in Knowledge Discovery and Data Mining will be welcomed by researchers, engineers and developers involved in knowledge and information management.
Author(s): Nikhil Pal, Lakhmi C. Jain
Series: Advanced information and knowledge processing
Edition: 1
Publisher: Springer-Verlag
Year: 2004
Language: English
Pages: 263
City: New York
Tags: Информатика и вычислительная техника;Искусственный интеллект;Интеллектуальный анализ данных;
Advanced Techniques in Knowledge Discovery and Data Mining......Page 1
Advanced Information and Knowledge Processing......Page 3
Contents......Page 5
Preface......Page 6
1. Trends in Data Mining and Knowledge Discovery......Page 12
2. Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data......Page 38
3. Clustering and Visualization of Retail Market Baskets......Page 86
4. Segmentation of Continuous Data Streams Based on a Change Detection Methodology......Page 114
5. Instance Selection Using Evolutionary Algorithms: An Experimental Study......Page 138
6. Using Cooperative Coevolution for Data Mining of Bayesian Networks......Page 164
7. Knowledge Discovery and Data Mining in Medicine......Page 187
8. Satellite Image Classification Using Cascaded Architecture of Neural Fuzzy Network......Page 221
9. Discovery of Positive and Negative Rules from Medical Databases Based on Rough Sets......Page 242
Index......Page 262