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Dissertations / Theses on the topic 'ID3 Decision tree'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Abu-halaweh, Nael Mohammed. "Integrating Information Theory Measures and a Novel Rule-Set-Reduction Tech-nique to Improve Fuzzy Decision Tree Induction Algorithms." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/48.

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Machine learning approaches have been successfully applied to many classification and prediction problems. One of the most popular machine learning approaches is decision trees. A main advantage of decision trees is the clarity of the decision model they produce. The ID3 algorithm proposed by Quinlan forms the basis for many of the decision trees’ application. Trees produced by ID3 are sensitive to small perturbations in training data. To overcome this problem and to handle data uncertainties and spurious precision in data, fuzzy ID3 integrated fuzzy set theory and ideas from fuzzy logic with

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Chida, Anjum A. "Protein Tertiary Model Assessment Using Granular Machine Learning Techniques." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/cs_diss/65.

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The automatic prediction of protein three dimensional structures from its amino acid sequence has become one of the most important and researched fields in bioinformatics. As models are not experimental structures determined with known accuracy but rather with prediction it’s vital to determine estimates of models quality. We attempt to solve this problem using machine learning techniques and information from both the sequence and structure of the protein. The goal is to generate a machine that understands structures from PDB and when given a new model, predicts whether it belongs to the same

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Svoboda, Pavel. "Metody klasifikace www stránek." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236643.

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The main goal of this master's thesis was to study the main principles of classification methods. Basic principles of knowledge discovery process, data mining and using an external class CSSBox are described. Special attantion was paid to implementation of a ,,k-nearest neighbors`` classification method. The first objective of this work was to create training and testing data described by 'n' attributes. The second objective was to perform experimental analysis to determine a good value for 'k', the number of neighbors.

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Rasmussen, Erin M., and Erin M. Rasmussen. "Improving Patient Safety and Incident Reporting Through Use of the Incident Decision Tree." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626648.

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Background: Preventable medical error accounts for approximately 98,000 deaths in the hospital setting each year. A proposed solution to decreasing medical error encompasses the development of a culture of safety. Safety culture has been defined as a common set of values and beliefs that are shared by individuals within an organization that influence their actions and behaviors. In 2015, the safety culture of Registered Nurses (RN) and Patient Care Technicians (PCT) who regularly worked in the Intensive Care Unit (ICU) and Cardiovascular Intensive Care Unit (CVICU) at Flagstaff Medical Center

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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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6

Flöter, André. "Analyzing biological expression data based on decision tree induction." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=978444728.

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7

Ferreira, Pedro Henrique Matheus da Costa. "Análise de dados de bases de honeypots: estatística descritiva e regras de IDS." Universidade Presbiteriana Mackenzie, 2015. http://tede.mackenzie.br/jspui/handle/tede/1460.

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Made available in DSpace on 2016-03-15T19:37:56Z (GMT). No. of bitstreams: 1 PEDRO HENRIQUE MATHEUS DA COSTA FERREIRA.pdf: 2465586 bytes, checksum: c81a1527d816aeb0b216330fd4267b93 (MD5) Previous issue date: 2015-03-04<br>Fundação de Amparo a Pesquisa do Estado de São Paulo<br>A honeypot is a computer security system dedicated to being probed, attacked or compromised. The information collected help in the identification of threats to computer network assets. When probed, attacked and compromised the honeypot receives a sequence of commands that are mainly intended to exploit a vulnerability

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8

Beck, Jason. "Implementation and Experimentation with C4.5 Decision Trees." Honors in the Major Thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1157.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Engineering and Computer Science<br>Computer Engineering

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9

Zhong, Mingyu. "AN ANALYSIS OF MISCLASSIFICATION RATES FOR DECISION TREES." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2496.

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The decision tree is a well-known methodology for classification and regression. In this dissertation, we focus on the minimization of the misclassification rate for decision tree classifiers. We derive the necessary equations that provide the optimal tree prediction, the estimated risk of the tree's prediction, and the reliability of the tree's risk estimation. We carry out an extensive analysis of the application of Lidstone's law of succession for the estimation of the class probabilities. In contrast to existing research, we not only compute the expected values of the risks but also calcul

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10

Mann, Anna, and Olivia Höft. "Categorization of Swedish e-mails using Supervised Machine Learning." Thesis, KTH, Hälsoinformatik och logistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296558.

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Society today is becoming more digitalized, and a common way of communication is to send e-mails. Currently, the company Auranest has a filtering method for categorizing e-mails, but the method is a few years old. The filter provides a classification of valuable e-mails for jobseekers, where employers can make contact. The company wants to know if the categorization can be performed with a different method and improved. The degree project aims to investigate whether the categorization can be proceeded with higher accuracy using machine learning. Three supervised machine learning algorithms, Na

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11

Bremner, Alexandra P. "Localised splitting criteria for classification and regression trees." Thesis, Bremner, Alexandra P. (2004) Localised splitting criteria for classification and regression trees. PhD thesis, Murdoch University, 2004. https://researchrepository.murdoch.edu.au/id/eprint/440/.

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This thesis presents a modification of existing entropy-based splitting criteria for classification and regression trees. Trees are typically grown using splitting criteria that choose optimal splits without taking future splits into account. This thesis examines localised splitting criteria that are based on local averaging in regression trees or local proportions in classification trees. The use of a localised criterion is motivated by the fact that future splits result in leaves that contain local observations, and hence local deviances provide a better approximation of the deviance of the

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Muhs, Tammy Marie Poitras. "Modeling mass care resource provision post hurricane." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4810.

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Determining the amount of resources needed, specifically food and water, following a hurricane is not a straightforward task. Through this research effort, an estimating tool was developed that takes into account key demographic and evacuation behavioral effects, as well as hurricane storm specifics to estimate the number of meals required for the first fourteen days following a hurricane making landfall in the State of Florida. The Excel based estimating tool was created using data collected from four hurricanes making landfall in Florida during 2004-2005. The underlying model used in the too

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13

Maherinia, Hamid. "Development of the Strategy to Select optimum Reflective Cracking Mitigation Methods for the Hot-Mix Asphalt Overlays in Florida." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5985.

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Hot Mix Asphalt (HMA) overlay is a major rehabilitation treatment for the existing deteriorated pavements (both flexible and rigid pavements). Reflective cracking (RC) is the most common distress type appearing in the HMA overlays which structurally and functionally degrades the whole pavement structure, especially under high traffic volume. Although many studies have been conducted to identify the best performing RC mitigation technique, the level of success varies from premature failure to good performance in the field. In Florida, Asphalt Rubber Membrane Interlayers (ARMIs) have been used

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14

Sangole, Noel. "The role of community-driven participatory monitoring and evaluation in empowering communities and improving their decision making: a case study of the KARI/CIAT collaborative project, Coastal Kenya." Thesis, University of the Western Cape, 2007. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_1382_1264556326.

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<p>The researcher has been working for CIAT, as a community development facilitator and research assistant for past five years (2001-2006). CIAT has been involved in testing tools and methods for promoting participation and tracking changes at community level under different pilot projects in Eastern and Central Africa in partnership with national research organizations of respective countries. One of CIAT&rsquo<br>s areas of research is developing participatory monitoring and evaluation systems that are appropriate for rural communities. The researcher has been involved in designing and setti

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15

Irniger, Christophe-André. "Graph matching filtering databases of graphs using machine learning techniques." Berlin Aka, 2005. http://deposit.ddb.de/cgi-bin/dokserv?id=2677754&prov=M&dok_var=1&dok_ext=htm.

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16

Liu, Lanfa, Min Ji, and Manfred F. Buchroithner. "Combining Partial Least Squares and the Gradient-Boosting Method for Soil Property Retrieval Using Visible Near-Infrared Shortwave Infrared Spectra." Molecular Diversity Preservation International (MDPI), 2017. https://tud.qucosa.de/id/qucosa%3A30734.

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Soil spectroscopy has experienced a tremendous increase in soil property characterisation, and can be used not only in the laboratory but also from the space (imaging spectroscopy). Partial least squares (PLS) regression is one of the most common approaches for the calibration of soil properties using soil spectra. Besides functioning as a calibration method, PLS can also be used as a dimension reduction tool, which has scarcely been studied in soil spectroscopy. PLS components retained from high-dimensional spectral data can further be explored with the gradient-boosted decision tree (GBDT) m

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17

Abraham, Lukáš. "Analýza dat síťové komunikace mobilních zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432938.

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At the beginning, the work describes DNS and SSL/TLS protocols, it mainly deals with communication between devices using these protocols. Then we'll talk about data preprocessing and data cleaning. Furthermore, the thesis deals with basic data mining techniques such as data classification, association rules, information retrieval, regression analysis and cluster analysis. The next chapter we can read something about how to identify mobile devices on the network. We will evaluate data sets that contain collected data from communication between the above mentioned protocols, which will be used i

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18

Dočekal, Martin. "Porovnání klasifikačních metod." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403211.

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This thesis deals with a comparison of classification methods. At first, these classification methods based on machine learning are described, then a classifier comparison system is designed and implemented. This thesis also describes some classification tasks and datasets on which the designed system will be tested. The evaluation of classification tasks is done according to standard metrics. In this thesis is presented design and implementation of a classifier that is based on the principle of evolutionary algorithms.

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19

Lu, Shao-Yi, and 呂紹毅. "The Application of Data Mining—ID3 Decision Tree and Fuzzy Theory on Distribution System Service Restoration." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/20082610104814619299.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>91<br>The distribution system containing numerous protective facilities and switch equipment ranges over a wide boundary . The most urgent problem the dispatcher has to tackle right after the breakdown of distribution system in how to resume as soon as possible power supply for the none-faulted out-of-service area. Therefore, distribution system service restoration is an important and practical subject. During the process of maintaining and operation ,the distribution district collected a lot of data. These data includes substation-related automatic operating data

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20

Fong, Pui Kuen. "Privacy preservation for training datasets in database: application to decision tree learning." Thesis, 2008. http://hdl.handle.net/1828/1291.

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Privacy preservation is important for machine learning and datamining, but measures designed to protect private information sometimes result in a trade off: reduced utility of the training samples. This thesis introduces a privacy preserving approach that can be applied to decision-tree learning, without concomitant loss of accuracy. It describes an approach to the preservation of privacy of collected data samples in cases when information of the sample database has been partially lost. This approach converts the original sample datasets into a group of unreal datasets, where an original samp

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21

Lin, Zhi-Hong, and 林志鴻. "Using Efficient Algorithms for Increasing the Performance of Building ID3 Decision Trees." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/71951647549227535552.

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碩士<br>南台科技大學<br>資訊管理系<br>93<br>With flourishing development of information science and technology, the establishment can get easily more and more original data and materials that are including lots of potential and useful information that can offer establishment the formulation of management strategies as a reference. Data mining is an analytic skill that can analyze and find out the potential information among the original data and materials. Under data mining, the way used most frequently for prospecting original materials is decision tree of classification. According this divinable model,

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Hsu, Yu-Shan, and 許毓珊. "A Hybrid IDS framework via Decision Trees and SVMs." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/6sgvd7.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>94<br>When the Internet and networked systems become more widespread and advanced, researchers, government organizations and many commercial firms start to pay much attention to the higher risk of attacks. Intrusion detection system is used to detect inappropriate, incorrect, or anomalous activity in computer networks giving the administrator a voluntarily alarm if some suspect events occurred with computer system. In this thesis, we proposed an intrusion detection system (IDS) framework to discriminate between normal connection and intrusive activities. We treat it

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23

Obraczka, Daniel. "Active learning of link specifications using decision tree learning." 2017. https://ul.qucosa.de/id/qucosa%3A17168.

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In this work we presented an implementation that uses decision trees to learn highly accurate link specifications. We compared our approach with three state-of-the-art classifiers on nine datasets and showed, that our approach gives comparable results in a reasonable amount of time. It was also shown, that we outperform the state-of-the-art on four datasets by up to 30%, but are still behind slightly on average. The effect of user feedback on the active learning variant was inspected pertaining to the number of iterations needed to deliver good results. It was shown that we can get FScores abo

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Albrecht, Nadine. "Least squares estimation for binary decision trees." 2020. https://tud.qucosa.de/id/qucosa%3A73135.

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In this thesis, a binary decision tree is used as an approximation of a nonparametric regression curve. The best fitted decision tree is estimated from data via least squares method. It is investigated how and under which conditions the estimator converges. These asymptotic results then are used to create asymptotic convergence regions.

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Mahboob, Qamar. "A Bayesian Network methodology for railway risk, safety and decision support." Doctoral thesis, 2013. https://tud.qucosa.de/id/qucosa%3A27751.

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For railways, risk analysis is carried out to identify hazardous situations and their consequences. Until recently, classical methods such as Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) were applied in modelling the linear and logically deterministic aspects of railway risks, safety and reliability. However, it has been proven that modern railway systems are rather complex, involving multi-dependencies between system variables and uncertainties about these dependencies. For train derailment accidents, for instance, high train speed is a common cause of failure; slip and failure of

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Chen, Yi-Chi, and 陳逸綺. "Using Decision Tree to Construct the Classification Model of Consumer Purchasing Intention for Mobile Communication Service." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5230039%22.&searchmode=basic.

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碩士<br>國立中興大學<br>科技管理研究所<br>107<br>In recent years, mobile communication industry has developed vigorously in Taiwan, and the competition in the industry is fierce. Mobile devices have become an indispensable part of modern life, and the mobile communication services which accompany mobile devices have become an important consideration for consumers. To stand out from the highly competitive mobile communications services market, telecom carriers have to understand consumer purchasing intentions through big data analytics. Based on the literature review of the mobile communication service and th

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27

Lumpe, Lars. "The Foundation of Pattern Structures and their Applications." 2021. https://tud.qucosa.de/id/qucosa%3A76163.

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This thesis is divided into a theoretical part, aimed at developing statements around the newly introduced concept of pattern morphisms, and a practical part, where we present use cases of pattern structures. A first insight of our work clarifies the facts on projections of pattern structures. We discovered that a projection of a pattern structure does not always lead again to a pattern structure. A solution to this problem, and one of the most important points of this thesis, is the introduction of pattern morphisms in Chapter4. Pattern morphisms make it possible to describe relationships be

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