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User behaviour analysis on Reddit

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dc.contributor Garrido Ostermann, Lluís
dc.creator Chen, Huang
dc.date 2017-06-12T09:02:54Z
dc.date 2017-06-12T09:02:54Z
dc.date 2016-06-30
dc.date.accessioned 2024-12-16T10:24:28Z
dc.date.available 2024-12-16T10:24:28Z
dc.identifier http://hdl.handle.net/2445/112223
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/17723
dc.description Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Lluís Garrido Ostermann
dc.description Nowadays, Big Data and Data Science seem to be the most useful technologies for data processing used in a variety of areas, such as business, sports, social media, investigations, etc. But, what is Big Data? And, what about Data Science? Also, what is the difference between them? Big data is the challenge for data sets that are huge or complex which traditional data processing applications are inadequate to manage them in a reasonable time[1]. Hence, we can conclude Big data as a concept that refers to the storage of large amounts of data and the used procedures to find repetitive patterns within the data. Data Science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is continuation of some of the data analysis fields such as statistic, data mining, and predictive analytics, similar to Knowledge Discovery in atabase(KDD). We compare them. Data Science looks to create models that capture the underlying patterns of complex systems, and codify those models into working application. Big Data looks to collect and manage large amounts of varied data to serve large-scale web applications and vast sensor networks. But, these terms are often used interchangeably despite having fundamentally different roles to play in bringing the potential of data to the doorstep of an organization[7]. As social media is now the fastest way to spread out information and it has grown up quickly in these recent years. So, it is interesting to know how is the database behind social media being processed. That is the reason I have been led to this topic and chose it for my Degree Final Project (TFG). Now, how are Big Data and Data Science applied in social media? Social media is the collective of online communications channels dedicated to community based input, interaction, content-sharing and collaboration. In other words, it is computer-mediated tool that allow people exchange information in virtual communities. Hence, it must have an enormous and complex database, because that information can be created and stored by multi formats files. For example, pictures, videos, texts, etc. Then, in pictures category, it has various extensions like PNG, JPEG, GIF, etc. Therefore, we need apply Big Data and Data Science concepts to manage and process them intelligently. However, in this project we are going to talk about just the small particular piece of social media, which is Reddit.
dc.format 51 p.
dc.format application/pdf
dc.language eng
dc.rights memòria: cc-by-sa (c) Huang Chen, 2016
dc.rights codi: GPL (c) Huang Chen, 2016
dc.rights http://creativecommons.org/licenses/by-sa/3.0/es
dc.rights http://www.gnu.org/licenses/gpl-3.0.ca.html
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Enginyeria Informàtica
dc.subject Dades massives
dc.subject Xarxes socials en línia
dc.subject Programari
dc.subject Mitjans socials
dc.subject Conducta (Psicologia)
dc.subject Treballs de fi de grau
dc.subject Big data
dc.subject Online social networks
dc.subject Computer software
dc.subject Human behavior
dc.subject Social media
dc.subject Bachelor's theses
dc.title User behaviour analysis on Reddit
dc.type info:eu-repo/semantics/bachelorThesis


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