Data Segmentation and its Applications; a White Paper
In this paper, we investigate the development of a robust segmentation algroithm that does not suffer from any of the drawbacks associated with historical techniques, and go on to show how a good segmentation result can be used with additional information about retail purchases to identify purchasing patterns, or with multiple instances of training data to classify data into sets. Read More ...
Data Mining on the Desktop - an Essential Tool for Ebanking and Ecommerce Professionals
Data Mining on the Desktop (DMD) is a modern and lightweight approach that can be used to analyze market behavior. We present a DMD case study in the financial services market that illustrates our new approach. Its principal advantages over the traditional data-mining techniques are low cost of ownership, simplicity of use, flexibility to suit a range of common data analysis scenarios, and powerful analytical techniques that could drive quick and reliable decisions. Read More ...