An increasing amount of research on Intelligent Systems/Artificial Intelligence (AI) in
marketing has shown that AI is capable of mimicking humans and performing activities in an …

Much of the research on Business Intelligence (BI) has examined the ability of BI systems to
help organizations address challenges and opportunities. However, the literature is …

Data science has employed great research efforts in developing advanced analytics,
improving data models and cultivating new algorithms. However, not many authors have …

The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …

Despite the importance of data mining techniques to customer relationship management
(CRM), there is a lack of a comprehensive literature review and a classification scheme for it …

This study presents an integrated system where wavelet transforms and recurrent neural
network (RNN) based on artificial bee colony (abc) algorithm (called ABC-RNN) are …

Due to the characteristics of financial time series, such as being non-linear, non-stationary
and noisy, with uncertain and hidden relationships, it is difficult to capture its non-stationary …

Credit products are a crucial part of business of banks and other financial institutions. A
novel approach based on time series of customer's data representation for predicting …

In this paper, an evolving least squares support vector machine (LSSVM) learning paradigm
with a mixed kernel is proposed to explore stock market trends. In the proposed learning …

Unrepresentative data samples are likely to reduce the utility of data classifiers in practical
application. This study presents a hybrid mining approach in the design of an effective credit …