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Dissertations / Theses on the topic 'RapidMiner'

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1

Vašíček, Radek. "Předzpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217652.

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This thesis surveys on problems preprocessing data. Forepart deal with view and description characteristic tests for description attributes, methods for work with data and attributes. Second part work describes work with program Rapidminer. It pays pay attention to single functions preprocessing in this programme describes their function. Third part equate to results with using methods preprocessing and without using data preprocessing.
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2

Stehno, David. "Dolování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-219902.

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The aim of the thesis was to study and describe data mining methodology CRISP-DM. From the collected database of calls to the call center a prediction was performed, based on CRISP-DM methodology. In phase of test situation modeling four different testing methods were used: the k-NN, neural network, linear regression and super vector machine. The input attributes importance for further prediction was evaluated based on different selections. The results and findings may provide data for further more accurate forecasts in the future; not only in number of calls but also other indicators relevant
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Láska, Samuel. "Segmentace struktur mikroskopických dat mozku." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220342.

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This thesis is involved in image processing of medical data and its implementation using Java programming language. The main contribution of this thesis is creation of algorithms for feature extraction from 3D data and subsequent verification of the results for the issue of imagining 3D brain data, and creation of image filters and their implementation in the program RapidMiner. Consequently, the segmentation process is created at the 2D and 3D level, and output of 3D level segmentation are segmented brain structures. Furthermore, segmentation algorithms were compared on the basis of the final
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4

Patera, Jan. "Rozhodovací stromy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217653.

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This diploma thesis presents description on several algorithms for decision trees induction and software RapidMiner. The first part of the thesis deals with partition and terminology of decision trees. There’re described all algorithms for decision tree construction in RapidMiner. The second part deals with implementation and comparison of chosen algorithms. The application was developed in C++. Based on the real datesets the comparisson of different algorithms was realized using Rapid Miner 4.0.
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Stříteský, Radek. "Sémantické rozpoznávání komentářů na webu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317212.

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The main goal of this paper is the identification of comments on internet websites. The theoretical part is focused on artificial intelligence, mainly classifiers are described there. The practical part deals with creation of training database, which is formed by using generators of features. A generated feature might be for example a title of the HTML element where the comment is. The training database is created by input of classifiers. The result of this paper is testing classifiers in the RapidMiner program.
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6

Nocar, Jan. "Investiční možnosti obyvatel v ČR." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-76224.

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This thesis discusses the options households have when it comes to investing in capital markets in the Czech Republic. The issue of investing and capital market options is analyzed. Following this analysis comes the description of financial instruments, their characteristics, and the usability of these instruments by small investors. On the basis of the theory presented, a study was conducted to examine the usage of individual financial products. The collected data was processed using modern software tools, which helped in drawing several conclusions, results, and recommendations for investors
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Černý, Ján. "Implementace procedur pro předzpracování dat v systému Rapid Miner." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193216.

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Knowledge Discovery in Databases (KDD) is gaining importance with the rising amount of data being collected lately, despite this analytic software systems often provide only the basic and most used procedures and algorithms. The aim of this thesis is to extend RapidMiner, one of the most frequently used systems, with some new procedures for data preprocessing. To understand and develop the procedures, it is important to be acquainted with the KDD, with emphasis on the data preparation phase. It's also important to describe the analytical procedures themselves. To be able to develop an extentio
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8

Matuš, Martin. "Predikce výsledků hokejových utkání pomocí data mining modelu." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193929.

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This thesis focuses on creation and comparison of ice hockey matches prediction models with the view on ice hockey world championship matches. The first part is dedicated to collecting theoretical knowledge needed for solving this problem and the second to applying this set of knowledge. The model creation approach is intertwined with the CRISP-DM data mining methodology, which also defines several chapters of this work. As input data for the models I used performance statistics of individual ice hockey players -- this brought me to implementing a script capable of automatic downloading and ag
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Gonçalves, Leandro Tavares. "Perspectivas e metodologias de pesquisa da Comunicação Social no contexto da internet com o Big Data e da especialização Data Scientist." Universidade Metodista de São Paulo, 2014. http://tede.metodista.br/jspui/handle/tede/723.

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Made available in DSpace on 2016-08-03T12:30:10Z (GMT). No. of bitstreams: 1 Leandro Tavares2.pdf: 1287442 bytes, checksum: 7f5aa84748d1a824abe72b2b6940ffe2 (MD5) Previous issue date: 2014-09-09<br>The work analyzes the media in the context of the Internet and outlines new methodologies for the study area in filtering meanings in the scientific realm of information flows from social networks, news media or any other device that allows storage and retrieval of structured information and unstructured. In an attempt to reflect on the ways that these information flows and develop mainly in the v
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Mašek, Jan. "Detekce objektů v obraze s pomocí Haarových příznaků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219794.

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This thesis deals with the image object detection using Haar--like features and AdaBoost algorithm. The text describes methods how to train and test an object detector. The main contributon of this thesis consists in creation image object detector in Java programming language. Created algorithms were integrated as plugin into the RapidMiner tool, which is widely used and known worldwide as tool for data mining. The thesis contains the instructions for created operators and few exaples for executing in RapidMiner tool. The functionality of image object detector was demonstrated on selected medi
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11

Krajčír, Róbert. "Počítačová analýza medicínských obrazových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220590.

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This work deals with medical image analysis, using variety of statisic and numeric methods implemented in Eclipse and Rapidminer environments in Java programming language. Sets of images (slices), which are used here, are the results of magnetic resonance brain examination of several subejcts. Segments in this 3D image are analyzed and some local features are computed, based on which data sets for use in training algorythms are generated. The ability of successful identification of healthy or unhealthy tissues is then practically tested using available data.
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Štěrba, Radek. "Metody pro zpracování segmentovaných obrazů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219294.

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This work deals with the representation of segmented images using graphs. Different segmentation methods used in processing visual information are described here. Today is mathematics increasingly needed. This fact is not omitted, basic information of graph theory are described in this paper. The second part of this work is practical. It contains a survey of libraries processing graphs. Further the data structures for describing the segmented image are described. Last but not least, there is also described the formation and properties of the operators designed for environment RapidMiner that f
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13

Uher, Václav. "Zjišťování příznaků z obrazových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219307.

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Image processing is one area of signal analysis. This thesis is involved in feature extraction from image data and its implementation using Java programming language. The main contribution of this thesis lies in develop features extractors and their implementation in the program RapidMiner. The result is a robust tool for image analysis. The functionality of each operator is tested on mammogram images. A function model was developed for the removal of artifacts from the mammography images. The success rate of removal is comparable with other similar works. Furthermore, learning algorithms were
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14

Čišecký, Roman. "Metody pro odstranění šumu z digitálních obrazů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219769.

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The master's thesis is concerned with digital image denoising methods. The theoretical part explains some elementary terms related to image processing, image noise, categorization of noise and quality determining criteria of denoising process. There are also particular denoising methods described, mentioning their advantages and disadvantages in this paper. The practical part deals with an implementation of the selected denoising methods in a Java, in the environment of application RapidMiner. In conclusion, the results obtained by different methods are compared.
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Adámek, Tomáš. "Metody stemmingu používané při dolování textu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-235547.

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The main theme of this master's thesis is a description of text mining. This document is specialized to English texts and their automatic data preprocessing. The main part of this thesis analyses various stemming algorithms (Lovins, Porter and Paice/Husk). Stemming is a procedure for automatic conflating semantically related terms together via the use of rule sets. Next part of this thesis describes design of an application for various types of stemming algorithms. Application is based on the Java platform with using of graphic library Swing and MVC architecture. Next chapter contains descript
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16

Di, Marzo Giuseppe. "Advanced Analytics per il Marketing: clustering dei clienti fidelizzati." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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Questo elaborato descrive un progetto di cluster analysis svolto in Iconsulting per un’azienda di fashion retail. Lo scopo di questo progetto è clusterizzare i clienti fidelizzati dell’azienda di fashion retail e testare varie piattaforme che permettono analisi avanzate, in particolare il clustering. Le clusterizzazioni sono state effettuate tramite il linguaggio R, sono stati sperimentati diversi algoritmi di clustering, tenendo in considerazione effcienza e qualità del risultato. K-means è stato considerato il più adatto degli algoritmi sperimentati. È stata svolta una piccola analisi su
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17

Ohrádka, Marek. "Stabilizace obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219771.

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This thesis deals with digital image stabilization. It contains a brief overview of the problem and available methods for digital image stabilization. The aim was to design and implement image stabilization system in JAVA, which is designed for RapidMiner. Two new stabilization methods have been proposed. The first is based on the motion estimation and motion compensation using Full-search and Three-step search algorithms. The basis of the second method is the detection of object boundaries. The functionality of the proposed method was tested on video sequences with contain visible shake of th
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18

Vrána, Pavel. "Webový portál pro správu a klasifikaci informací z distribuovaných zdrojů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237043.

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This master's thesis deals with data mining techniques and classification of the data into specified categories. The goal of this thesis is to implement a web portal for administration and classification of data from distributed sources. To achieve the goal, it is necessary to test different methods and find the most appropriate one for web articles classification. From the results obtained, there will be developed an automated application for downloading and classification of data from different sources, which would ultimately be able to substitute a user, who would process all the tasks manu
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19

Málik, Peter. "Získávání znalostí z multimediálních databází." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-235525.

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This master"s thesis deals with the knowledge discovery in multimedia databases. It contains general principles of knowledge discovery in databases, especially methods of cluster analysis used for data mining in large and multidimensional databases are described here. The next chapter contains introduction to multimedia databases, focusing on the extraction of low level features from images and video data. The practical part is then an implementation of the methods BIRCH, DBSCAN and k-means for cluster analysis. Final part is dedicated to experiments above TRECVid 2008 dataset and description
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20

Rocchetti, Giulia. "Definizione di un piano d'azione per l'aumento del win rate delle offerte di servizi post-vendita mediante ricerca di variabili di correlazione che ne influenzino il trend. Il caso ACMA." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Il progetto di tesi si occupa della definizione di un Action Plan, mediante l'applicazione del BPR, volto all'aumento dell'efficacia commerciale dei servizi di post-vendita di ACMA spa, azienda produttrice di macchine automatiche a media-alta velocità nel settore del packaging. Attraverso l'analisi delle performance misurate in termini di tasso di conversione da valore offerto a ordinato per le variabili rilevanti del mercato e l'analisi di correlazione tra di esse con il software Rapidminer, si è mappato il processo d'offerta scomponendolo in tutte le attività che lo compongono, rilevandone l
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Pohlídal, Antonín. "Inteligentní emailová schránka." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236458.

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This master's thesis deals with the use of text classification for sorting of incoming emails. First, there is described the Knowledge Discovery in Databases and there is also analyzed in detail the text classification with selected methods. Further, this thesis describes the email communication and SMTP, POP3 and IMAP protocols. The next part contains design of the system that classifies incoming emails and there are also described realated technologie ie Apache James Server, PostgreSQL and RapidMiner. Further, there is described the implementation of all necessary components. The last part c
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22

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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23

Slezák, Milan. "Dolování dat z databází." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218944.

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The thesis is focused on an introduction of data mining. Data mining is focused on finding of a hidden data correlation. Interest in this area is dated back to the 60th the 20th century. Data analysis was first used in marketing. However, later it expanded to more areas, and some of its options are still unused. One of methodologies is useful used for creating of this process. Methodology offers a concise guide on how you can create a data mining procedure. The data mining analysis contains a wide range of algorithms for data modification. The interest in data mining causes that number of data
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Novosad, Andrej. "Využití metod dolování dat pro analýzu sociálních sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236424.

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Thesis discusses data mining the social media. It gives an introduction about the topic of data mining and possible mining methods. Thesis also explores social media and social networks, what are they able to offer and what problems do they bring. Three different APIs of three social networking sites are examined with their opportunities they provide for data mining. Techniques of text mining and document classification are explored. An implementation of a web application that mines data from social site Twitter using the algorithm SVM is being described. Implemented application is classifying
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Wåhlin, Peter. "Enhanching the Human-Team Awareness of a Robot." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-16371.

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The use of autonomous robots in our society is increasing every day and a robot is no longer seen as a tool but as a team member. The robots are now working side by side with us and provide assistance during dangerous operations where humans otherwise are at risk. This development has in turn increased the need of robots with more human-awareness. Therefore, this master thesis aims at contributing to the enhancement of human-aware robotics. Specifically, we are investigating the possibilities of equipping autonomous robots with the capability of assessing and detecting activities in human team
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LIEN, PO-CHUN, and 連柏鈞. "Big Data Mining Application with RapidMiner and Case Studies." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/vm7s9x.

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碩士<br>朝陽科技大學<br>資訊工程系<br>106<br>In recent years, the rapid development of computer technology and information industry has led to a significant increase in the amount of data. However, regarding these large and messy multidimensional data sets, we cannot quickly and effectively find the information that we need. Therefore, we have to use the data mining techniques to concentrate on extracting the information that we need from the data. In this thesis, we will introduce a relatively new data mining software, Rapidminer. We compare the Rapidminer with other data mining software via comparative a
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Yang, Tong-Yu, and 楊峒禹. "Apply Big Data Mining with Rapidminer to Adult Health Examination for Prophylaxis of Chronic Illness." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/33dwhe.

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碩士<br>朝陽科技大學<br>資訊工程系<br>105<br>Due to increased number of aging population and population structure changes, people are concerned about aging-related problems that put great burdens and make enormous impacts on the family, society, and nation. Aging population brings along chronic disease, deterioration of boding function and disabilities resulting in increase medical expenditure and heavy burden to the family, society and the nation as a whole. Regular medical checkup and early treatment is the most effective solution to this problem. Important but non-intuitive information and knowledge in
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28

Popova, Karina. "Politicization of non-political events." Master's thesis, 2015. http://hdl.handle.net/10362/14548.

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Spatial analysis and social network analysis typically take into consideration social processes in specific contexts of geographical or network space. The research in political science increasingly strives to model heterogeneity and spatial dependence. To better understand and geographically model the relationship between “non-political” events, streaming data from social networks, and political climate was the primary objective of the current study. Geographic information systems (GIS) are useful tools in the organization and analysis of streaming data from social networks. In this study, geo
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