This research demonstrates the usefulness of self-organizing maps (SOM) as an intuitive visual rendering of a globalization phenomenon. We propose a systematic neural-network-based segmentation scheme for identifying and subsequently profiling transnational segments based on consumers’ desired benefits. In the study, SOMs are used in grouping survey respondents from 16 countries in the Asia-Pac...

The purpose of this paper is twofold. First it outlines the basic methodology for improving the design and manufacture of information products through the development, implementation, and monitoring of an information product quality strategy. Secondly, it shows how existing marketing techniques can be used to construct an information product quality strategy through the application of customer ...

In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be leveraged to offer significant speedups for data processing jobs such as data analysis and mining over large data sets. One novel contribution of our solution is its data-driven approach. The computation infrastructure ...

The past few years have witnessed millions of credit/debit cards flowing through the underground economy and ultimately causing significant financial loss. Examining key underground economy sellers has both practical and academic significance for cybercrime forensics and criminology research. Drawing on social media analytics, we have developed the AZSecure text mining system for identifying an...

Associative networks have been long used as a way to provide intelligent machines with a working memory and applied in various domains such as Natural Language Processing or customer associations analysis. While giving out numerous practical advantages, existing Games With a Purpose (GWAPs) for eliciting associative networks cannot be employed in certain domains (for example in customer associa...

Many induction problems, such as on-line customer profiling, include missing data that can be acquired at a cost, such as incomplete customer information that can be filled in by an intermediary. For building accurate predictive models, acquiring complete information for all instances is often prohibitively expensive or unnecessary. Randomly selecting instances for feature acquisition allows a ...

Currently, huge electronic data repositories are being maintained by banks and other financial institutions. Valuable bits of information are embedded in these data repositories. The huge size of these data sources make it impossible for a human analyst to come up with interesting information (or patterns) that will help in the decision making process. A number of commercial enterprises have be...