A new report published online in Psychological Medicine suggests that big data predictive analytic methods might help provide an answer.
The analytics community has invested significant resources in developing effective predictive analytical methods.
Predictive analytics are statistical methods (predictive modeling, machine learning, data mining) analyzing current and historical data to make predictions about the future.
This paper explores Technosocial Predictive Analytics (TPA) and related methods for Web "data mining" where users' posts and queries are garnered from Social Web ("Web 2.0") tools such as blogs, micro-blogging and social networking sites to form coherent representations of real-time health events.
The company's artificial intelligence uses predictive analytics, algorithms and other methods to lower costs while relieving overall stress on the power grid, according to Stem's senior vice president, Alan Russo.
Prediction #3: Predictive analytics goes mainstream.
These advanced analytics methods include predictive analytics, data mining, text mining, integrated statistics, visualization, and summarization tools.
The previous chapters have exposed you to some very sophisticated methods in predictive analytics (e.g., lag variables for time-series analysis and ensembles of models).
These new chapters provide the structured knowledge on the principles, models, and technologies for managing the supply-chain risks and improving supply-chain and operations performance with the help of digital technologies such as Industry 4.0, additive manufacturing, Internet-of-Things, advanced optimization methods and predictive analytics.
This book provides excellent descriptions of the key methods used in predictive analytics.
