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Geographical variation in morphometry, craniometry, and diet of a mammalian species (Stone marten, Martes foina) using data mining.
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- Author(s): PAPAKOSTA, Malamati A.; KITIKIDOU, Kyriaki; BAKALOUDIS, Dimitrios E.; VLACHOS, Christos G.; CHATZINIKOS, Evangelos; ALEXANDROU, Olga; SAKOULIS, Anastasios
- Source:
Turkish Journal of Zoology; 2018, Vol. 42 Issue 1, p99-106, 8p- Subject Terms:
- Source:
- Additional Information
- Abstract: Ecologists use various data mining techniques to make predictions and estimations, to identify patterns in datasets and relationships between qualitative and quantitative variables, or to classify variables. The aim of this study was to investigate if the application of data mining could be used to study geographical variation in the morphometry, craniometry, and diet of a mammalian species (Martes foina), and to determine whether data mining can complement genetic analysis to recognize subspecies. Morphometric, craniometric, and dietary data were collected from three different geographical regions in Greece (mainland, Aegean islands, and the island of Crete), and data mining techniques were applied. Our results showed that there is no geographical differentiation between morphometry, craniometry, and diet of the species; therefore, the species cannot be separated into subspecies. Our results support preliminary results from a genetic study that annuls previous classification into three subspecies. Data mining techniques could be used to examine the geographical variation of a species to support separation not subspecies. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Turkish Journal of Zoology is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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