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Last glacial geomorphologic records in Mt Chelmos, North Peloponnesus, Greece

Journal of Mountain Science 2018年第5期15卷 948-965页

作者： Kosmas PAVLOPOULOS Aris LEONTARITIS Constantin D. ATHANASSAS Chara PETRAKOU Dimitris VANDARAKIS Kosnstantinos NIKOLAKOPOILOS Leonidas STAMATOPOULOS Katherina THEODORAKOPOULOU Paris Sorbonne University Abu Dhabi P.O. 38044 Abu Dhabi United Arab Emirates Harokopio University 70 El. Venizelou sir. 17671 Athens Greece Department of Geological Sciences School of Mining and Metallurgical Engineering National Technical University of Athens (NTUA) Zografos Athens 15780 Greece Hellenic Centre for Marine Research 46.7 Ion Athens-Sounio av. P.O. Box 712 Greece University of Patrus Geology Department University Campus 26504 Rio Achaia Greece National and Kapodistrian University of Athens Panepistimioupolis 15784 Ilissia Athens Greece

This study deals with the analysis of the glacial processes that have affected the relief of Mt Chelmos in northern Peloponnesus, Greece during middle and Late Pleistocene. The goal was to compile a combined geomorphological-geological map of the study area which would enable the chronological stratification of the glacial landforms cropping up on Mt. Chelmos. Chronological stratification was further aided by optically stimulated luminescence(OSL)dating. The map served as the basis upon which the reconstruction and discussion on the phases of the Middle-Late Quaternary paleoclimatic history of *** have been made. A sophisticated semiautomated method was first used to analyze the Digital Elevation Model(DEM), combined with Aster,Quickbird and ALOS imagery in order to identify glacial and periglacial, as well as karstic ***, these features along with other nonrecognizable features from the remote-sensing images were documented in the field. In this way, several glacial landforms were identified, such as moraines and cirques, indicating extended glaciation phases during the middle and Late Pleistocene. Additionally,a ground moraine located at an altitude of 1900-2050 m, within the Spanolakos glacial valley, was dated using the OSL-dating method. The resulting ages indicate a phase of glacier advance/stabilization during MIS-5 b(89-86 ka), which is in consistence with pollenrecord evidence from Greece and the *** above the floors of the highest cirques on Mount Tymphi(Hughes 2004). These glacial landforms postdate the youngest moraines on Mount Tymphi(Tymphian Stage MIS 5 d-2), and it has been argued that they might be Younger Dryas in age(Woodward and Hughes 2011) although this has not been confirmed by radiometric dating(Hughes et al. 2006 d).Recent field observations throughout the mountains of central Greece(Leontartitis and Pavlopoulos, unpublished data) demonstrate that the glaciation extent has been underestimated in several

关键词： semi-automated geomorphologicalmapping Glacial geomorphology Mediterranean OSL dating

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Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network

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Journal of Intelligent Learning Systems and Applications 2010年第3期2卷 156-166页

作者： Gursel Serpen Michael Riesen 不详

This paper proposes machine learning techniques to discover knowledge in a dataset in the form of if-then rules for the purpose of formulating queries for validation of a Bayesian belief network model of the same data. Although do-main expertise is often available, the query formulation task is tedious and laborious, and hence automation of query formulation is desirable. In an effort to automate the query formulation process, a machine learning algorithm is lev-eraged to discover knowledge in the form of if-then rules in the data from which the Bayesian belief network model under validation was also induced. The set of if-then rules are processed and filtered through domain expertise to identify a subset that consists of “interesting” and “significant” rules. The subset of interesting and significant rules is formulated into corresponding queries to be posed, for validation purposes, to the Bayesian belief network induced from the same dataset. The promise of the proposed methodology was assessed through an empirical study performed on a real-life dataset, the National Crime Victimization Survey, which has over 250 attributes and well over 200,000 data points. The study demonstrated that the proposed approach is feasible and provides automation, in part, of the query formulation process for validation of a complex probabilistic model, which culminates in substantial savings for the need for human expert involvement and investment.

关键词： Rule Induction semi-automated Query Generation Bayesian Net Validation Knowledge Acquisition Bottleneck Crime Data National Crime Victimization Survey

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