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National Repository of Grey Literature 22 records found  beginprevious21 - 22  jump to record: Search took 0.01 seconds. 
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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