Applications of spatio-temporal data mining to north platter river reservoirs

Abstract

We propose a spatio-temporal data mining method based on support vector machines regression and spatio-temporal feature reduction by principal component analysis. We apply the spatiotemporal data mining method to derive an automated controller for the reservoirs of the North Platte River. The automated controller opens and closes dams to efficiently and accurately control the reservoirs' water levels.

Application of Spatiotemporal Association Rules on Solar Data to Support Space Weather Forecasting

“…by the total of objects in the region r1 in time t1. Examples of works using 'moving objects' are Kong et al [14], Mohan and Revesz [18] and Alamri et al [2].…”

Data Mining

“…Data mining algorithms, such as decision trees (Quinlan 1986) and support vector machines (Vapnik 1995), can be extended to cases when the constraint database represents temporal data (Revesz 2014;Revesz and Triplet 2011) and spatiotemporal data (Mohan and Revesz 2014). An example of data mining with temporal data occurs in mining the history of citations to predict the citation curve of individual researchers (Revesz 2014), and an example of spatiotemporal data mining is the generation of a set of rules for the optimal control of a set of dams on a river reservoir system (Mohan and Revesz 2014).…”

Data Semantics

“…Many data mining algorithms can be extended and applied to constraint databases (Lakshmanan et al 2003;Mohan and Revesz 2014;Revesz 2010;Turmeaux and Vrain 1999). Constraint databases are used in data mining because data mining algorithms such as decision trees (Quinlan 1986) and support vector machines (Vapnik 1995) generate classifications that can be naturally represented by constraint databases (Geist 2002;Johnson et al 2000;Lakshmanan et al 2003;Turmeaux and Vrain 1999).…”