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Preparation and Performance of Debian Mailing Lists Analysis

Authors: Buriánek, Jan;

Preparation and Performance of Debian Mailing Lists Analysis

Abstract

This bachelor thesis is devoted to techniques and technologies within area of unstructured data processing. This processing includes building an infrastructure to make it feasible and obtaining data of all Debian mailing lists contents. In order to fullfil the main goal of this thesis, there has been downloaded entire content of Debian mailing lists. Debian mailing lists are a valuable source containing information about the Debian operating system and its software components. It proves that its software components are well-made reliable open-source tools. It is expected that this source of data is able to unveil plenty of unexpected relations. Used data and technologies as the Elasticsearch search and analysis engine are excelent tools and resources to conduct research over such type of comparism of mind and computer outputs as in case of Searle's axioms from article "Is Brain's mind a computer program?". This thesis is attempting to prove that such analysis is feasible.

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Keywords

unstructured data analysis; technological infrastructure; poštovní konference; Searlovy axiomy; Elasticsearch; mailing lists; Searle's axioms; analýza nestrukturovaných dat; technologická infrastruktura; Debian

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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