Outlier Detection in Time Data

Outlier detection and analysis is an important topic for any kind of data.  Outliers, depending on their context, can be useful, or dangerous in the development of models.    New edited:  Book: Outlier Detection for Temporal Data    by Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Hao.  Review posted by Vincent Granville

Recorded Future Looking Forward

I just had the opportunity in preparation for some talks and predictive analytics work to look once again at the 'temporal search engine'  Recorded Future.  Happy to report that it is now working well on tablets like the iPad.  That makes it useful to take it into the aisle, or anywhere, to report on future-looking competitive interactions between your products and others.   They have also added social networking capabilities.   I will continue my experiments with this capability and report here.