Digital signal processing is an area of science and engineering that has been developed rapidly over the past years. This rapid development is the result of the significant advances in digital computer technology and integrated circuits fabrication. Many of the signal processing tasks...

"This book offers focused research on the systems and technologies that provide intelligence and expertise to traders and investors and facilitate the agile ordering processes, networking, and regulation of global financial electronic markets"--Provided by publisher.

"This book investigates the latest developments in nature-influenced technologies, offering an in-depth analysis of such advances as cryptographic solutions based on cell division, the creation and manipulation of biological computers, and particle swarm optimization techniques"--Provided by...

"This book explores the concept of a global industry through case studies, emerging research, and interdisciplinary perspectives applicable to a variety of fields in banking and finance"--Provided by publisher.

"This book presents an interdisciplinary, comparative, and competitive analysis of the thought processes and planning necessary for individual and corporate economic management"--Provided by publisher.

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...