Scalable aggregation predictive analytics

Scalable Analytics Model Calibration with Online Aggregation

Model calibration is a major challenge faced by the plethora of statistical analytics packages that are increasingly used in Big Data applications. Identifying the optimal model parameters is a time-consuming process that has to be executed from scratch for every dataset/model combination even by experienced data scientists. We argue that the lack of support to quickly identify sub-optimal conf...

Quality-aware aggregation & predictive analytics at the edge

We investigate the quality of aggregation and predictive analytics in edge computing environments. Edge analytics require pushing processing and inference to the edge of a network of sensing & actuator nodes, which enables huge amount of contextual data to be processed in real time that would be prohibitively complex and costly to transfer on centralized locations. We propose a quality-aware, t...

Predictive Analytics

In today's economic climate where budget reductions are common, executives are under pressure to deliver profitable growth. Business leaders must identify and implement the critical items that will enable the enterprise to remain competitive. Methods and techniques long utilized in the actuarial department are being leveraged to improve many areas of the insurance operation. Will these methods ...

Predictive Analytics in Forecasting

Social Media Predictive Analytics

The recent explosion of social media services like Twitter, Google+ and Facebook has led to an interest in social media predictive analytics – automatically inferring hidden information from the large amounts of freely available content. It has a number of applications, including: online targeted advertising, personalized marketing, large-scale passive polling and real-time live polling, person...