Bringing Transparency to Predictive Analytics: A Systematic Comparison of Predictive Modeling Methods in Higher Education

Predictive Analytics: Predictive Modeling at the Micro Level

Data-intensive analytics for predictive modeling

The Data Abstraction Research Group was formed in the early 1990s, to bring focus to the work of the Mathematical Sciences Department in the emerging area of knowledge discovery and data mining (KD & DM). Most activities in this group have been performed in the technical area of predictive modeling, roughly at the intersection of machine learning, statistical modeling, and database technology. ...

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

From Predictive to Prescriptive Analytics

Predictive analyses taking advantage of the recent explosion in the availability and accessibility of data have been made possible through flexible machine learning methodologies that are often well-suited to the variety and velocity of today’s data collection. This can be witnessed in recent works studying the predictive power of social media data and in the transformation of business practice...