Enhanced Web Crawler Application for Websites - Oraekwe, Francis Obinna;Okengwu, Ugochi
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This book is primarily focused on the use of an enhanced web crawler application to data mine relevant archived information from the websites without robot exclusions feature, whether its public web or dark web. The slow rate of execution time and complexity nature of most existing web crawler applications have been some major challenges in this field faced over the years by programmers (users). This newly improved application will handle both problems and also provide a resultant output relevant to a user's search input. The application includes the knowledge of modern technologies such as…mehr

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Produktbeschreibung
This book is primarily focused on the use of an enhanced web crawler application to data mine relevant archived information from the websites without robot exclusions feature, whether its public web or dark web. The slow rate of execution time and complexity nature of most existing web crawler applications have been some major challenges in this field faced over the years by programmers (users). This newly improved application will handle both problems and also provide a resultant output relevant to a user's search input. The application includes the knowledge of modern technologies such as computer programming, machine learning, big data, data mining, data parsing and more.
Autorenporträt
Francis Oraekwe is a computer scientist and network engineer by profession. B.Sc Computer Science, M.Eng Information & Telecommunication Engineering, PhD Telecommunication Engineering. His research works are focused mainly on areas in Information, Communication and Technology (ICT), and Engineering.