This book covers two pertinent topics that are continuously advancing the effective utilization and management of information technology applications. One objective of this book is to provide a forum for researchers and practitioners to share research about technical and managerial issues...

Data Mining Techniques for Web Personalization: Algorithms and Applications -- Patterns Relevant to the Temporal Data-Context of an Alarm of Interest -- ODARM : An Outlier Detection-Based Alert Reduction Model -- Concept-Based Mining Model -- Intrusion Detection Using Machine Learning: Past and...

"This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of...

The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32...

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....

"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...