In this study, it was aimed to compare different normalization methods employed in model
developing process via artificial neural networks with different sample sizes. As part of …

Cleansing data from impurities is an integral part of data processing and maintenance. This
has lead to the development of a broad range of methods intending to enhance the accuracy …

The exploration of data to extract information or knowledge to support decision making is a
critical success factor for an organization in today's society. However, several problems can …

Data preparation is an important and critical step in neural network modeling for complex
data analysis and it has a huge impact on the success of a wide variety of complex data …

In an Item-based system, Images (eg, JPEG, TIFF, bitmap. and so on) are treated as core
platform objects (“Image Items' or, more simply,“Images') and exist in an" Image Schema” …

Data quality tools aim at detecting and correcting data problems that affect the accuracy and
efficiency of data analysis applications. We propose a classification of the most relevant …

The book focuses on forecasting foreign exchange rates via artificial neural networks. It
creates and applies the highly useful computational techniques of Artificial Neural Networks …

Scalable data mining in large databases is one of today's challenges to database
technologies. Thus, substantial effort is dedicated to a tight coupling of database and data …

Art, or Science? Which of these is the right way to think of the field of visualization? This is
not an easy question to answer, even for those who have many years experience in making …

5,751.387 A 5, 1998 Aps 6,233,582 B1 5, 2001 Traversat 5754782. A 5, 1998 M ad
6,237,143 B1 5/2001 Fontana 5758, 153 A 5, 1998 is a 6,240,414 B1 5/2001 Beizer et …