Publication Type
Conference Paper
Publication Date
Page Numbers
29 to 34
Conference Name
2nd SC International Workshop on Petascale Data Analytics: Challenges and Opportunities (PDAC-11)
Conference Location
Seattle, Washington, United States of America
Conference Sponsor
IEEE, ACM
Conference Date
Abstract
The volume of spatiotemporal data being generated from scientific simulations and observations from sensors is growing at an astronomical rate. This data explosion is going to pose three challenges to the existing data mining infrastructure: algorithmic, computational, and I/O. Over the years we have implemented several spatiotemporal data mining algorithms including: outliers/anomalies, colocation patterns, change patterns, clustering, classification, and prediction algorithms. In this paper we briefly discuss the core spatiotemporal pattern mining algorithms along with some of the computational and I/O challenges associated with the big data.