Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-05-10T23:18:29Z No. of bitstreams: 1 VanessaRodriguesDeMorais_DISSERT.pdf: 1105716 bytes, checksum: 7d6ea94fddc9d45e293b3ec2073b01f5 (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-05-18T20:27:12Z (GMT) No. of bitstreams: 1 VanessaRodriguesDeMorais_DISSERT.pdf: 1105716 bytes, checksum: 7d6ea94fddc9d45e293b3ec2073b01f5 (MD5) / Made available in DSpace on 2016-05-18T20:27:12Z (GMT). No. of bitstreams: 1 VanessaRodriguesDeMorais_DISSERT.pdf: 1105716 bytes, checksum: 7d6ea94fddc9d45e293b3ec2073b01f5 (MD5) Previous issue date: 2015-02-26 / Natural landscapes have been dramatically affected by habitat loss and fragmentation, which transform continuous forest in habitat patches imbedded in areas of non-habitat (matrices). This matrices, inhospitable or not, affect countless ecological process, like dispersal. One of the ways to understand this effect of matrix on dispersal is studying animal?s perceptual range. Which is a range at which an animal perceive landscape elements. This perception is directly connected to the success to reach a new habitat patch while animals navigate through matrix. To contribute to this knowledge we evaluate the habitat perception of Heliconius erato. However, we were also interest in evaluate the effect of butterflies age and matrix type on its perception. Consequently, we raised butterflies on laboratory and matched with butterflies from forest during a release experiment. To determinate perceptual range, we did releases in two different matrices at three distances from forest (0, 30 and 100 meters) and measured the final angle reached for butterflies. We found that: I) butterflies released in edge were strongly oriented to forest; II) than higher the release distance the lower perceptual ability and III) there is an interaction between age and matrix type. Na?ve butterflies oriented better on open field (perceptual range: 30-100 meters and experienced oriented better at coconut plantation (perceptual range: 30-100 meters). / Paisagens naturais tem sido afetadas dramaticamente pela perda de habitat e fragmenta??o, os quais transformam paisagens cont?nuas em manchas de habitat circundadas por ?reas de n?o-habitat (matrizes). Essas matrizes, in?spitas ou n?o, afetam incont?veis processos ecol?gicos, como a dispers?o. Uma das formas de compreender o efeito da matriz no processo de dispers?o ? estudando o alcance da percep??o do habitat dos animais, o qual ? definido como o alcance (dist?ncia) em que um animal pode perceber elementos da paisagem. Essa percep??o est? diretamente relacionada ao sucesso de chegada ? um novo habitat, enquanto o animal navega por uma matriz. N?s avaliamos a percep??o do habitat em Heliconius erato, uma borboleta tropical. Entretanto n?s tamb?m est?vamos interessados em avaliar o efeito da idade das borboletas e do tipo de matriz na percep??o do habitat. Consequentemente, n?s criamos borboletas em laborat?rio e pareamos com borboletas coletadas na floresta durante um experimento de soltura. Para determinar o alcance da percep??o, n?s realizamos solturas em duas diferentes matrizes (coqueiral e campo em regenera??o) ? tr?s dist?ncias da floresta (0,30 e 100 metros) e medimos o ?ngulo final alcan?ado pelas borboletas. N?s encontramos que (I) borboletas soltas na borda se orientaram fortemente para a floresta; (II) quanto maior a dist?ncia de soltura, menor a habilidade de perceber o habitat e (III) h? intera??o entre matriz e idade da borboleta. Borboletas inexperientes se orientaram melhor no campo aberto (alcance da percep??o: 30-100 metros) e experientes se orientaram melhor no coqueiral (alcance da percep??o entre 30-100 metros).

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In recent years knowledge has become an important resource to enhance the business and many activities are required to manage these knowledge resources well and help companies to remain competitive within industrial environments. The data available in most industrial setups is complex in nature and multiple different data formats may be generated to track the progress of different projects either related to developing new products or providing better services to the customers. Knowledge Discovery from different databases requires considerable efforts and energies and data mining techniques serve the purpose through handling structured data formats. If however the data is semi-structured or unstructured the combined efforts of data and text mining technologies may be needed to bring fruitful results. This thesis focuses on issues related to discovery of knowledge from semi-structured or unstructured data formats through the applications of textual data mining techniques to automate the classification of textual information into two different categories or classes which can then be used to help manage the knowledge available in multiple data formats. Applications of different data mining techniques to discover valuable information and knowledge from manufacturing or construction industries have been explored as part of a literature review. The application of text mining techniques to handle semi-structured or unstructured data has been discussed in detail. A novel integration of different data and text mining tools has been proposed in the form of a framework in which knowledge discovery and its refinement processes are performed through the application of Clustering and Apriori Association Rule of Mining algorithms. Finally the hypothesis of acquiring better classification accuracies has been detailed through the application of the methodology on case study data available in the form of Post Project Reviews (PPRs) reports. The process of discovering useful knowledge, its interpretation and utilisation has been automated to classify the textual data into two classes.