scholarly journals Geospatiotemporal data mining in an early warning system for forest threats in the United States

2010 ◽  
Author(s):  
F. M. Hoffman ◽  
R. T. Mills ◽  
J. Kumar ◽  
S. S. Vulli ◽  
W. W. Hargrove
Keyword(s):  
United States ◽  
Data Mining ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
The United States

The U.S. Involvement in Sinai: 1975 as a Legal-Political Turning Point

1985 ◽  
Vol 20 (2-3) ◽  
pp. 299-340
Author(s):  
Michla Pomerance
Keyword(s):  
United States ◽  
Early Warning ◽  
Early Warning System ◽  
Turning Point ◽  
Peace Process ◽  
Warning System ◽  
The United States ◽  
Un Peacekeeping ◽  
The U.S

The role of the United States as midwife in the Israeli-Egyptian peace process has become a familiar one in recent years. Indeed, the local protagonists have all but taken for granted that their own peacemaking efforts would be catalyzed and reenforced by the United States. The pattern of American involvement has since 1975–76 had a dual aspect: American personnel have been permanently stationed in Sinai, and U.S. assurances have been extended to the parties (especially to Israel) as inducements to the acceptance of painful concessions.The American presence in Sinai, when initiated in 1975–76, was minimal both in terms of its numbers and its functions. Fewer than 200 U.S. civilians operated the Sinai Field Mission, an early warning system in the strategic Giddi and Mitla mountain passes, whose purpose was to complement the functions of the UN peacekeeping force in the Sinai (the UN Emergency Force or UNEF II).

Early Warning System for SMEs as a Financial Risk Detector

2009 ◽  
pp. 220-238 ◽  
Author(s):  
Ali Serhan Koyuncugil
Keyword(s):  
Data Mining ◽  
Risk Management ◽  
Early Warning ◽  
Financial Management ◽  
Early Warning System ◽  
Quantitative Data ◽  
Financial Risk ◽  
Warning System ◽  
Theoretical Background ◽  
Effect Level

This chapter introduces an early warning system for SMEs (SEWS) as a financial risk detector which is based on data mining. In this study, the objective is to compose a system in which qualitative and quantitative data about the requirements of enterprises are taken into consideration, during the development of an early warning system. Furthermore, during the formation of system; an easy to understand, easy to interpret and easy to apply utilitarian model that is far from the requirement of theoretical background is targeted by the discovery of the implicit relationships between the data and the identification of effect level of every factor. Using the system, SME managers could easily reach financial management, risk management knowledge without any prior knowledge and expertise. In other words, experts share their knowledge with the help of data mining based and automated EWS.

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