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Mining Multiple Level Association Rules
Nguyenová, Thanh Lam ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with multiple level association rules mining. The aim of this work is to focus on available algorithms for mining multiple level association rules and to implement an application with a graphical user interface that will demonstrate the functionality of these algorithms. Five algorithms based on the Apriori algorithm were chosen. Experiments with each algorithm were performed using the application and the results were compared and evaluated at the end of the thesis.
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Unsupervised Adaptation of Speech Recognizer
Švec, Ján ; Karafiát, Martin (referee) ; Schwarz, Petr (advisor)
The goal of this thesis is to design and test techniques for unsupervised adaptation of speech recognizers on some audio data without any textual transcripts. A training set is prepared at first, and a baseline speech recognition system is trained. This sistem is used to transcribe some unseen data. We will experiment with an adaptation data selection process based on some speech transcript quality measurement. The system is re-trained on this new set than, and the accuracy is evaluated. Then we experiment with the amount of adaptation data.
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I Live Tarot
Oplatková, Hana ; Vondřejcová, Silvie (referee) ; Klímová, Barbora (advisor)
Private deck of cards created during six-month survey and documentation of daily experiences. The package contains 49 cards and it is inspired by a set of 78 tarot cards. Text content - reverse side of the card was created using diary notes. Face side of the card was chosen as a representation of processes taking place usually in days when the card was read.
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Web Page Classification
Kolář, Roman ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This paper presents problem of automatic webpages classification using association rules based classifier. Classification problem is presented, as a one of datamining technique, in context of mining knowledges from text data. There are many text document classification methods presented with highlighting benefits of classification methods using association rules. The main goal of work is adjusting selected classification method for relation data and design draft of webpages classifier, which classifies pages with the aid of visual properties - independent section layout on the web page, not (only) by textual data. There is also ARC-BC classification method presented as a selected method and as one of intriguing classificators, that derives accuracy and understandableness benefits of all other methods.
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Confidence in Constitutional Institutions and Satisfaction with Political Situation - Autumn 2023
Červenka, Jan
In the period from the end of September to the beginning of December 2023 within the regular survey the Public Opinion Research Centre questioned respondents about their confidence in constitutional institutions. In this survey there was a question about their trust to the President, both Chambers of Parliament, the Government, and Local and Regional Councils.\n\n52% of Czechs trust the President, 17% of Czechs trust the government.\n\nThe Chamber of Deputies has the confidence of 18% and the Senate of 29% of the public.\n\n10% of Czech citizens declare satisfaction with political situation, 69% are dissatisfied.
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Confidence in constitutional institutions and satisfaction with political situation - June/July 2023
Červenka, Jan
In the period from the end of May to the mid of the last third of July 2023 within the regular survey the Public Opinion Research Centre questioned respondents about their confidence in constitutional institutions. In this survey there was a question about their trust to the President, both Chambers of Parliament, the Government, and Local and Regional Councils.\n\n58% of Czechs trust the President, 25% of Czechs trust the government.\n\nThe Chamber of Deputies has the confidence of 25% and the Senate of 36% of the public.\n\n15% of Czech citizens declare satisfaction with political situation, 62% are dissatisfied.
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Confidence in constitutional institutions and satisfaction with political situation - August/September 2023
Červenka, Jan
In the period from the end of July to the mid of the last third of September 2023 within the regular survey the Public Opinion Research Centre questioned respondents about their confidence in constitutional institutions. In this survey there was a question about their trust to the President, both Chambers of Parliament, the Government, and Local and Regional Councils.\n\n58% of Czechs trust the President, 25% of Czechs trust the government.\n\nThe Chamber of Deputies has the confidence of 23% and the Senate of 33% of the public.\n\n12% of Czech citizens declare satisfaction with political situation, 61% are dissatisfied.
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Confidence in selected institutions at the turn of 2022 and 2023
Červenka, Jan
In the survey of the Public Opinion Research Centre of the Institute of Sociology of the Academy of Sciences of the Czech Republic in the period from November 2022 to January 2023, a representative sample of citizens of the Czech Republic was asked whether they trust the selected institutions. The survey specifically investigated trust in relation to the Public Defender of Rights (ombudsman), the Constitutional Court and the Czech National Bank.\n65% of Czechs trusted the Czech National Bank, 62% trusted the Constitutional Court and the Public Defender of Rights.\nTrust prevails over distrust in all institutions examined.\nCompared to the last comparable survey from July 2020, or from December 2019, trust in all monitored institutions increased.
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Confidence in some institutions - April/May 2023
Červenka, Jan
In April and May 2023 within the regular survey, the Public Opinion Research Centre (CVVM) questioned respondents about their confidence in some institutions including the Supreme Audit Office, the Supreme State Prosecutor, the Security information service (BIS), and the National Office for Information and Cyber Security (NÚKIB).
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