Classification using higher order interactions: a hybrid approach
For representation in this blog, we have considered German credit data for classification of good and bad credit risk using the interaction of the input variables through a hybrid approach. In this approach, first we developed a decision tree for identifying the significant interactions of the input variables and then, a feed forward neural network […]
Power of Open data
Air-Pollution in Delhi reached a severe level during the festive season. Post Diwali the air quality in Delhi worsened and the city was covered in smog with zero visibility, reaching an alarming level with air pollution at its peak. While the city is smothered with air pollution there is an urgent need to […]
A silent move towards adaptive and model-dependent data models
Over the last decade there has been a substantial increase of the volume and complexity of the data we are collecting and storing. Now we see an increasing demand for real time data processing – a continuous process of input / output of data. Accordingly, the approach to data analysis and data processing has changed […]
Segmentation, Targeting and Positioning (STP)
Client: A consultancy firm in South East Asia Time: January 2014 ———————— Objective The objective was to develop a segmentation algorithm on the basis of a set of psychographic attributes like basic values, beliefs, attitudes, perceptions, motivations and needs (functional, emotional, social and situational) in order to embark on targeted marketing and to enable positioning […]
