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Implementation of a competitive intelligence process to a selected company
Václavková, Eliška ; Petráková, Anna (referee) ; Bartes, František (advisor)
This diploma Thesis deals with the introducing of the Comptitive Intelligence process and creating a proposal for the implementation of this process to the selected company. The first part contains a description of the theoretical framework, followed by the review of the current situation in the company and the reasons why the Competitive Intelligence process should be implemented. The next part is focused on the proposal of the whole process. The conclusion of the thesis sumarizes the whole proposal and its benefits of this thesis for the company.
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Analysis and Data Extraction from a Set of Documents Merged Together
Jarolím, Jordán ; Bartík, Vladimír (referee) ; Kreslíková, Jitka (advisor)
This thesis deals with mining of relevant information from documents and automatic splitting of multiple documents merged together. Moreover, it describes the design and implementation of software for data mining from documents and for automatic splitting of multiple documents. Methods for acquiring textual data from scanned documents, named entity recognition, document clustering, their supportive algorithms and metrics for automatic splitting of documents are described in this thesis. Furthermore, an algorithm of implemented software is explained and tools and techniques used by this software are described. Lastly, the success rate of the implemented software is evaluated. In conclusion, possible extensions and further development of this thesis are discussed at the end.
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Possibilities, risks and legislative restrictions of multirotors from information management point of view
Štěrba, Jan ; Sigmund, Tomáš (advisor) ; Čermák, Radim (referee)
The thesis deals with the possibilities and risks of multirotors in connection with acquiring, processing and distribution of information with regard to how these possibilities are limited and the risks addressed by legislation. The aim of the theoretical part of this thesis was to analyze how multirotors are involved in the information society, what are the possibilities of their use in connection with data collection and acquiring of information, what are the risks of using them and how problems are dealt with by Czech legislation. Categorized use possibilities state practical examples of what data can multirotors provide and how multirotors can be used to acquire information. The risks associated with using multirotors were found mainly in context of invasion of privacy and physical security. Based on the research of legislative sources, it was found that the legislation covers all the risks very well. The aim of the research part of this thesis was to find out how the users of multirotors abide the current legislation, which provisions they violate from the point of view of aviation regulations and to what extent they invade the privacy of third parties when using multirotors. Based on quantitative research, where the research method used was an electronic questionnaire, it was found that even though that about half of the users do not fly in accordance with aviation regulation L2 - aviation rules, 78% of them violates only one provision. In addition, it can be stated that there is a dependence between the presence of navigation systems on a multirotor and violation of this aviation regulation. It was also found that 89% of users do not intrude the privacy of third parties by using multirotors and that the violation of the amendment X and intruding of privacy are independent.
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Semantic relation extraction from unstructured data in the business domain
Rampula, Ilana ; Pecina, Pavel (advisor) ; Kuboň, Vladislav (referee)
Text analytics in the business domain is a growing field in research and practical applications. We chose to concentrate on Relation Extraction from unstructured data which was provided by a corporate partner. Analyzing text from this domain requires a different approach, counting with irregularities and domain specific attributes. In this thesis, we present two methods for relation extraction. The Snowball system and the Distant Supervision method were both adapted for the unique data. The methods were implemented to use both structured and unstructured data from the database of the company. Keywords: Information Retrieval, Relation Extraction, Text Analytics, Distant Supervision, Snowball
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Library for Support of ReReSearch System Development
Heller, Stanislav ; Otrusina, Lubomír (referee) ; Šperka, Svatopluk (advisor)
At this time, the development of the ReReSearch system is significantly slowed down by mutual incompatibility of system modules, by the fact that developers often repeat already known mistakes and of course by poor communication between developers in general. To solve this problem, there was a need to create a component which would implement and unify often performed tasks in development of ReReSearch system and this way to spend time of ReReSearch developers. The result of this effort is so-called "rrslib" - a Python library, which is supposed to be a helper for everyone, who works on parts of ReReSearch project: database, data extractors, web-based agents, crawlers, XML-processing etc. The library should serve for more consistent, faster and more reliable development of ReReSearch system.
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A Web-Based Application to Search Online Library Catalogues
Polách, Ondřej ; Šebek, Michal (referee) ; Rychlý, Marek (advisor)
The Internet is since its inception, source of various informations. Their retrieve was standardized with the advent of Z39.50 protocol, which today is still evolving and it also serves as the cornerstone for modern retrieve information protocols. Protocols group SRU/SRW is example of new protocols which are oriented into service-oriented architecture. The aim of this bachelor's thesis is to design and implement a unified web-based information gateway for retrieve informations from various library catalogues from single location. Development platform will be .NET and Mono. The biggest challenge is to use WCF services with system's client-side build on Silverlight technology, and last, but not least, is the solve problems arising from the current incomplete compatibility between Mono and .NET, especially with regard to these two components. Both will be host in ASP.NET web application. The main requirement is portability solution on various platforms. If manage to achieve compatibility between Mono and .NET, application can run on all platforms that are supported by Mono technology.
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Competitive Intelligence
Mikuš, Ondřej ; Karásek, Jan (referee) ; Bartes, František (advisor)
The diploma thesis focuses on the practical use of competitive intelligence, a method increasingly used to support decision making nowadays. The essential key principle is based on collection of precise data and their thourough analysis. The obtained information gives a comprehensive overview of the competitor analysis. The acquired knowledge of the competition is important for company's strategic decision-making processes. At the beginning the thesis gives a theoretical background on different means of data collecting including the ethic kodex. Folowing is the identification of the modern sources of information. Further, various methods and approaches of competitive intelligence are described. And the theoretical background on competitive strategies and their impact on the market wraps up the theoretical part of the thesis. The method is applied to create departmet of competitive inteligence for the company. Then the various options for further go to market activities are described and the scope of cooperation with selected customers is evaluted. The thesis describes the competitive intelligence advantages and the possible ways of aplications for the competitive strategy. At the end, the recommendations for the management of the company are summed up.
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Classification of electronic documents using cluster analysis
Ševčík, Radim ; Řezanková, Hana (advisor) ; Svátek, Vojtěch (referee)
The current age is characterised by unprecedented information growth, whether it is by amount or complexity. Most of it is available in digital form so we can analyze it using cluster analysis. We have tried to classify the documents from 20 Newsgroups collection in terms of their content only. The aim was to asses available clustering methods in a variety of applications. After the transformation into binary vector representation we performed several experiments and measured the values of entropy, purity and time of execution in application CLUTO. For a small number of clusters the best results offered the direct method (generally hierarchical method), but for more it was the repeated bisection (divisive). Agglomerative method proved not to be suitable. Using simulation we estimated the optimal number of clusters to be 10. For this solution we described in detail features of each cluster using repeated bisection method and i2 criterion function. In the future focus should be set on realisation of binary clustering with advantage of programming languages like Perl or C++. Results of this work might be of interest to web search engine developers and electronic catalogue administrators.
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