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Title: | Mapa interactivo automático de conceptos: Combinación de Big Data y FCA distribuido |
Author: | García Roig, Miguel Ángel |
Tutor: | Isern, David |
Others: | Universitat Oberta de Catalunya |
Abstract: | In the scope of this project, we will use the Formal Concept Analysis (FCA) technique to generate knowledge and establish relations on the data of our domain; K-Means as the discretization algorithm on the input data (that will help us to generate a valid model to be processed by means of FCA) and finally, we will use a framework for distributed computing based on map-reduce algorithm (Hadoop) as a potential strategy for processing large amounts of data. The output of this process will be a graph called concept lattice, which can be used to extract existing data relationships. |
Keywords: | formal concept analysis K-means Apache Hadoop |
Document type: | info:eu-repo/semantics/bachelorThesis |
Issue Date: | 22-Dec-2015 |
Publication license: | http://creativecommons.org/licenses/by-sa/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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mgarciaroigTFC1215memoria.pdf | Memoria del TFC | 938,71 kB | Adobe PDF | View/Open |
mgarciaroigTFC1215presentació.pdf | Presentación del TFC | 766,69 kB | Adobe PDF | View/Open |
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