Many data mining algorithms can only deal with discrete data or have a better performance on discrete data; however, for some technological reasons often we can only obtain the continuous value in the real world. Therefore, discretization has played an important role in data mining....

1. Data warehouse architectures : practices and trends / Xuegang Huang -- 2. Improving expressive power in modeling data warehouse and OLAP applications / Elzbieta Malinowski -- 3. From conventional to multiversion data warehouse : practical issues / Khurram Shahzad -- 4. Compression schemes of...

Section 2. Classification and Clustering -- 4. Automatic Syllabus Classification Using Support Vector Machines -- 5. Partially Supervised Text Categorization -- 6. Image Classification and Retrieval with Mining Technologies -- 7. Improving Techniques for Nai͏̈ve Bayes Text Classifiers -- 8....

With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help...

In response to increasingly high customer demands and formidable competition, today's organizations have implemented new technologies that generate and collect massive volumes of data. However, a large majority of the data collected goes to waste or becomes obsolete. Inconsistency, repetition,...

"This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality...

"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable...

Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems. This book provides the latest findings in nature-inspired algorithms and their applications for...

Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce...