Exploiting Unstructured Data Sources for Novel Predictive Applications
Conferences & Talks

• Bo Begole
• Lawrence Lee

Predictive Analytics World

19 October 2010 - 20 October 2010
Predictive Analytics World, Hilton Alexandria Mark Center, Washington, District of Columbia, USA

description

A barrier to applying Predictive Analytics more broadly is that more than 95% of information is unstructured (documents, email, web pages, audio, images, etc.) making it difficult for analytic systems to identify relationships between data elements. However, some structure can be extracted using technologies such as natural language parsing, entity extraction, image matching, context-awareness, and behavior modeling.

This session will cover some of the Contextual Intelligence work at PARC in creating new business opportunities based on predictive analytics applied to unstructured data sources. We will demonstrate the use of such methods in a case study of a consumer service that personalizes recommendations by predicting a mobile user’s future locations and leisure activity category. The service was in trials in Japan during Spring 2010.