Relevant bibliographies by topics / Dolování webu

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  1. Dissertations / Theses

Academic literature on the topic 'Dolování webu'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Dissertations / Theses on the topic "Dolování webu"

1

Smolík, Jakub. "Metody dolování relevantních dat z prostředí webu s využitím sociálních sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236354.

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This thesis focuses on solving problems related to searching of relevant data on the internet. In text is presented possible solution in form of application capable of automated extraction and aggregation of data from web and their presentation, based on input key words. For this purpouse there were studied and discribed possibilities of automated extraction from three chosen data types, mainly used as data storages on the internet. Furthermore it focuses on ways of data mining from social networks. As a result it pressents planning, implementation, realization and testing of created appliatio
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Kocman, Tomáš. "Automatizovaná analýza a archivace dat z webu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403129.

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This thesis is focused on cybercrime, acquisition of evidence and development of a platform for retrieval, analysis and archiving web site data. The goal is to satisfy the investigators and security experts of the Czech police. The aim is to provide an open source platform that will be freely disseminable and in compliance with the requirements of legal institutions. The output of the thesis is two platform versions - full-fledged, fulfilling all the requirements set out in the diploma thesis and a light version for the police investigators of the Czech Republic.
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Vlk, Vladimír. "Získávání znalostí z webových logů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236196.

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This master's thesis deals with creating of an application, goal of which is to perform data preprocessing of web logs and finding association rules in them. The first part deals with the concept of Web mining. The second part is devoted to Web usage mining and notions related to it. The third part deals with design of the application. The forth section is devoted to describing the implementation of the application. The last section deals with experimentation with the application and results interpretation.
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Rychnovský, Martin. "Získávání znalostí na webu - shlukování." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235960.

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This work presents the topic of data mining on the web. It is focused on clustering. The aim of this project was to study the field of clustering and to implement clustering through the k-means algorithm. Then, the algorithm was tested on a dataset of text documents and on data extracted from web. This clustering method was implemented by means of Java technologies.
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5

Kefurt, Pavel. "Získávání znalostí z veřejných semistrukturovaných dat na webu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255386.

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The first part of the thesis deals with the methods and tools that can be used to retrieve data from websites and the tools used for data mining. The second part is devoted to practical demonstration of the entire process. Web Czech Dance Sport Federation, which is available on www.csts.cz , is used as the source web site.
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Belica, Michal. "Metody sumarizace dokumentů na webu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236386.

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The work deals with automatic summarization of documents in HTML format. As a language of web documents, Czech language has been chosen. The project is focused on algorithms of text summarization. The work also includes document preprocessing for summarization and conversion of text into representation suitable for summarization algorithms. General text mining is also briefly discussed but the project is mainly focused on the automatic document summarization. Two simple summarization algorithms are introduced. Then, the main attention is paid to an advanced algorithm that uses latent semantic
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7

Pouzar, Aleš. "Extrakce strukturovaných dat z českého webu s využitím extrakčních ontologií." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-124547.

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The presented thesis deals with the task of automatic information extraction from HTML documents for two selected domains. Laptop offers are extracted from e-shops and free-published job offerings are extracted from company sites. The extraction process outputs structured data of high granularity grouped into data records, in which corresponding semantic label is assigned to each data item. The task was performed using the extraction system Ex, which combines two approaches: manually written rules and supervised machine learning algorithms. Due to the expert knowledge in the form of extraction
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8

Zdražil, Jan. "Algoritmy pro toky v sítích a jejich softwarová podpora." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-114400.

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This thesis deals with the maximum flow problem in network. First part describes and explains basic terms of graph theory, which gives theoretical base for following text. Next part is dedicated to algorithms that may be used to solve a maximum flow problem. Each described algorithm contains a brief history, general notation and a practical example. The next very important part of the thesis is in specific computer science applications such as computer vision and web mining. As an essential part of the thesis is developed software in programming language Java, which allows user to compare the
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9

Kubalík, Jakub. "Mining of Textual Data from the Web for Speech Recognition." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237170.

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Prvotním cílem tohoto projektu bylo prostudovat problematiku jazykového modelování pro rozpoznávání řeči a techniky pro získávání textových dat z Webu. Text představuje základní techniky rozpoznávání řeči a detailněji popisuje jazykové modely založené na statistických metodách. Zvláště se práce zabývá kriterii pro vyhodnocení kvality jazykových modelů a systémů pro rozpoznávání řeči. Text dále popisuje modely a techniky dolování dat, zvláště vyhledávání informací. Dále jsou představeny problémy spojené se získávání dat z webu, a v kontrastu s tím je představen vyhledávač Google. Součástí proje
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10

Henčelová, Katarína. "Analýza dát z webovej prezentácie v softwarovej firme." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-201693.

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This thesis looks into problematic of data originating from visits of a company websites. It is partly devoted to web analytics and Business Intelligence. The aim was to create a tool for transforming and saving these data, their analysis and reporting. The product of this thesis was created for a management of a company specifically by their requests. It was made to support managerial decisions in creating a successful web strategy.
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