Relevant bibliographies by topics / ID3 Algorithm

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'ID3 Algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "ID3 Algorithm"

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Li, Ju Fang, Jin Hui Lei, Xiao Xia Zhao, Chang Chang Zhang, and Xue Xue Han. "An Improved ID3 Algorithm." Applied Mechanics and Materials 444-445 (October 2013): 723–27. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.723.

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ID3 algorithm is the earliest and most influential of decision tree algorithm. This paper discusses the basic idea and implementation methods of the ID3 algorithm. A new algorithm based on attribute similarity for multivalued bias of ID3 algorithm was proposed, and the experimental results proved that the improved algorithm has strong predictive accuracy and better understandability.
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Henisaniyya, Nabila, Citra Pertiwi, Anita Desiani, Ali Amran, and Muhammad Arhami. "Classification of Thyroid Class using ID3 Algorithm and Artificial Neural Network (ANN)." SISTEMASI 14, no. 1 (2025): 1. https://doi.org/10.32520/stmsi.v14i1.3440.

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Thyroid disease refers to a range of conditions or issues affecting the thyroid gland. This gland, located below the Adam’s apple, is responsible for coordinating various metabolic processes in the body, making its function essential. Early detection of thyroid symptoms is crucial as an initial step in planning the necessary treatments to prevent more severe thyroid-related health risks. One commonly applied method for early detection involves classification using a data mining approach. Among the algorithms frequently used for classification are the ID3 algorithm and Artificial Neural Network
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Li, Rong Xiang, Zeng Lei Zhang, Yun Liu, and Shan Chao Tu. "Applications of Data Mining Algorithm in Equipment Fault Diagnosis." Applied Mechanics and Materials 644-650 (September 2014): 2551–55. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2551.

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The Basic Principles of Data mining Decision-tree ID3 is opened out. The main deficiencies are analysed. An improved algorithm based on the ID3 is calculated. For fault diagnosis of engine exemple, traditional ID3 algorithm and the improved algorithm are applied to estimate the fault diagnosis of engine separately. Decision Trees of traditional ID3 algorithm and the improved algorithm are construct. Experiment result display the accuracy of improved algorithm is better than traditional ID3. The improved algorithm is more fit to applied to the equipment fault diagnosis.
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Singh, Suman. "IDS with Hybrid ID3 Algorithm." International Journal of Computer Applications 64, no. 17 (2013): 12–15. http://dx.doi.org/10.5120/10725-5656.

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Huang, Ke, and Tingxuan Wang. "Optimized Application of the Decision Tree ID3 Algorithm Based on Big Data in Sports Performance Management." International Journal of e-Collaboration 20, no. 1 (2024): 1–20. http://dx.doi.org/10.4018/ijec.350022.

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In the rapidly evolving landscape of sports performance management, the integration of Big Data analytics has become a game-changer. This paper established a sports performance management system on big data decision tree ID3 algorithm and analyzed the accuracy and time of the improved decision tree ID3 algorithm in sports performance management. The research results show that the data query and data display functions are widely used in the system, and the utilization rate of each function of big data in the system can be clearly seen. In the accuracy of sports performance management, the impro
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Ju, Li, Lei Huang, and Sang-Bing Tsai. "Online Data Migration Model and ID3 Algorithm in Sports Competition Action Data Mining Application." Wireless Communications and Mobile Computing 2021 (July 10, 2021): 1–11. http://dx.doi.org/10.1155/2021/7443676.

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The ID3 algorithm is a key and important method in existing data mining, and its rules are simple and easy to understand and have high application value. If the decision tree algorithm is applied to the online data migration of sports competition actions, it can grasp the sports competition rules in the relationship between massive data to guide sports competition. This paper analyzes the application performance of the traditional ID3 algorithm in online data migration of sports competition actions; realizes the application steps and data processing process of the traditional ID3 algorithm, in
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Arao, Masaki, Masahito Tanaka, and Shigeyasu Kawaji. "Knowledge Acquisition by Improved Fuzzy ID3 Algorithm and Stability Analysis for Jacket Tank Temperature Control." Journal of Robotics and Mechatronics 12, no. 6 (2000): 682–88. http://dx.doi.org/10.20965/jrm.2000.p0682.

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The extraction of knowledge from operation data is an important theme in an autonomous control system. An efficient method for making a decision tree for classification from data is the fuzzy ID3 algorithm using fuzzy sets. However, the definition of fuzzy sets greatly affects the generation of fuzzy trees. In this paper, we propose a new version of fuzzy ID3 algorithms to generate a fuzzy decision maximizing the expected value of transferred information by applying a random search method for determining the fuzzy set, and by using the improved fuzzy ID3 algorithm an automatic extraction of co
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Rohman, Ali, Isturom Arif, Isnin Harianti, et al. "ID3 algorithm approach for giving scholarships." Journal of Physics: Conference Series 1175 (March 2019): 012116. http://dx.doi.org/10.1088/1742-6596/1175/1/012116.

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Chen, Xiao Juan, Zhi Gang Zhang, and Yue Tong. "An Improved ID3 Decision Tree Algorithm." Advanced Materials Research 962-965 (June 2014): 2842–47. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2842.

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As the classical algorithm of the decision tree classification algorithm, ID3 algorithm is famous for the merits of high classifying speed, strong learning ability and easy construction. But when used to make classification, the problem of inclining to choose attributions which have many values affect its practicality. This paper presents an improved algorithm based on the expectation information entropy and Association Function instead of the traditional information gain. In the improved algorithm, it modified the expectation information entropy with the improved Association Function and the
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Huang, Pingge. "Construction of College Chinese Blended Teaching Mode Based on Decision Tree Classification Model in New Media Context." Computational Intelligence and Neuroscience 2022 (September 26, 2022): 1–10. http://dx.doi.org/10.1155/2022/4608631.

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Based on the context of new media and big data, this article uses the decision tree classification model to construct the college Chinese hybrid teaching mode. In order to verify the accuracy of ID3 algorithm prediction, the comparison of the ID3 algorithm, K-means algorithm, and support vector machine classification algorithm was made, and the experimental results show that the ID3 decision tree classification algorithm has better prediction and classification ability, for the construction of college Chinese hybrid teaching mode provides certain practical value and reference basis.
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Dissertations / Theses on the topic "ID3 Algorithm"

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Starefors, Henrik, and Rasmus Persson. "MLID : A multilabelextension of the ID3 algorithm." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13667.

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AbstractMachine learning is a subfield within artificial intelligence that revolves around constructingalgorithms that can learn from, and make predictions on data. Instead of following strict andstatic instruction, the system operates by adapting and learning from input data in order tomake predictions and decisions. This work will focus on a subcategory of machine learningcalled “MultilabelClassification”, which is the concept of where items introduced to thesystem is categorized by an analytical model, learned through supervised learning, whereeach instance of the dataset can belong to mult
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Kaur, Harpreet. "Algorithms for solving the Rubik's cube : A study of how to solve the Rubik's cube using two famous approaches: The Thistlewaite's algorithm and IDA* algorithm." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168427.

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There are different computational algorithms for solving the Rubik's cube, such as Thistlewaite's algorithm, Kociemba's algorithm and IDA* algorithm. This thesis evaluates the efficiency of two algorithms by analyzing time, performance and how many moves are required to solve the Rubik's cube. The results show that the Thistlewaite's algorithm is less efficient than the IDA* algorithm based on time and performance. The paper attempts to answer which algorithm is more efficient for solving the Rubik's cube. It is importation to mention that this report could not prove which algorithm is most ef
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Dementiev, Roman. "Algorithm engineering for large data sets : hardware, software, algorithms /." Saarbrücken : VDM-Verl. Dr. Müller, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=3029033&prov=M&dok_var=1&dok_ext=htm.

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Sanz, Aceituno Angel Luis. "Control algorithms for energy savings in irregularly occupied buildings." Thesis, Högskolan i Gävle, Avdelningen för bygg- energi- och miljöteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-15155.

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The Heating, Ventilation and Air Conditioning (HVAC) systems are nowadays in almost every new building, develop or improve better control strategies for them is very common, looking to have more energy efficiency and require less input parameters from the user. In this project, new control strategies based in previous theory models has been used with a new approach in order to find a good solution for irregular occupied spaces. In this new approach a feed-forward filter with a fixed preheating time, using an algorithm based on an identified model, calculates how much degrees the temperature ro
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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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Chen, Hsinchun, Ganesan Shankaranarayanan, Linlin She, and Anand Iyer. "A Machine Learning Approach to Inductive Query by Examples: An Experiment Using Relevance Feedback, ID3, Genetic Algorithms, and Simulated Annealing." Wiley Periodicals, Inc, 1998. http://hdl.handle.net/10150/106135.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Information retrieval using probabilistic techniques has attracted significant attention on the part of researchers in information and computer science over the past few decades. In the 1980s, knowledge-based techniques also made an impressive contribution to â â intelligentâ â information retrieval and indexing. More recently, information science researchers have turned to other newer inductive learning techniques including symbolic learning, genetic algorithms, and simulated annealing. These newer techniques, whi
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Salazar, Catalina Higuita. "Seleção de fornecedores de serviço de transporte utilizando leilão combinatório de compras: adaptação e aplicação do algoritmo Iterative Deepening Search A* (IDA*)." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/3/3136/tde-22032012-121046/.

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A seleção de fornecedores de transporte é um desafio cada vez maior. O crescimento da rede de clientes a ser coberta demanda uma alocação eficiente em termos de custo não suprida por mecanismos tradicionais de negociação. Neste âmbito, o leilão combinatório torna-se uma alternativa de negociação ao permitir capturar sinergias entre os trajetos que devem ser atendidos. Em conseqüência disso, diminui-se o custo de transporte do fornecedor que se reflete nos menores preços de suas propostas e finalmente no custo total de compra do serviço. Por outro lado, esta decisão envolve fatores além do cust
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Stamm, Thomas J., Carina Rampp, Katja Wiethoff, et al. "The FKBP5 polymorphism rs1360780 influences the effect of an algorithm-based antidepressant treatment and is associated with remission in patients with major depression." Sage, 2016. https://tud.qucosa.de/id/qucosa%3A35633.

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Objective: The FKBP5-gene influences the HPA-system by modulating the sensitivity of the glucocorticoid receptor (GR). The polymorphism rs1360780 has been associated with response in studies with heterogeneous antidepressant treatment. In contrast, several antidepressant studies with standardized antidepressant treatment could not detect this effect. We therefore compared patients with standardized vs naturalistic antidepressant treatment to (a) investigate a possible interaction between FKBP5-genotype and treatment mode and (b) replicate the effect of the FKBP5-genotype on antidepressant trea
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Hable, Matthias. "Beitrag zur Energieeinsatzoptimierung mit evolutionären Algorithmen in lokalen Energiesystemen mit kombinierter Nutzung von Wärme- und Elektroenergie." Doctoral thesis, Technische Universität Dresden, 2004. https://tud.qucosa.de/id/qucosa%3A24496.

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Decentralised power systems with a high portion of power generated from renewable energy sources and cogeneration units (CHP) are emerging worldwide. Optimising the energy usage of such systems is a difficult task as the stochastic fluctuations of generation from renewable sources, the coupling of electrical and thermal power generation by CHP and the time dependence of necessary storage devices require new approaches. Evolutionary algorithms are able to solve the optimisation task of the energy management. They use the principles of erroneous replication and cumulative selection that can be o
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Zschiegner, Stephan, Stefanie Russ, Armin Bunde, and Jörg Kärger. "Cube-based diffusion algorithm." Diffusion fundamentals 4 (2007) 13, S. 1-8, 2007. https://ul.qucosa.de/id/qucosa%3A14287.

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We study molecular diffusion in (linear) nanopores with different types of roughness in the so-called Knudsen regime. Knudsen diffusion represents the limiting case of molecular diffusion in pores, where mutual encounters of the molecules within the free pore space may be neglected and the time of flight between subsequent collisions with the pore walls significantly exceeds the interaction time between the pore walls and the molecules. In this paper we present in full detail the algorithm, which we used in our previous studies, where we showed complete equivalence of self- (or tracer-) and tr
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Books on the topic "ID3 Algorithm"

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Berry, R. H. Adapting the ID3 algorithm to interpret the results of financial models. School of Information Systems, University of East Anglia, 1991.

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Canty, Morton John. Image analysis, classification, and change detection in remote sensing: With algorithms for ENVI/IDL. 2nd ed. Taylor & Francis, 2010.

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Canty, Morton John. Image analysis, classification, and change detection in remote sensing: With algorithms for ENVI/IDL. 2nd ed. Taylor & Francis, 2010.

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Sanghamitra, Bandyopadhyay, Catalyurek Umit V, Dubhashi Devdatt P, et al., eds. Contemporary Computing: 4th International Conference, IC3 2011, Noida, India, August 8-10, 2011. Proceedings. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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kaur, Gurpreet, and Asha Gill. Design and Development of Robust Algorithm Using Id3,chaid and Naive Bayes for Information Extraction. Independently Published, 2018.

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2022 IEEE ACM Workshop on Irregular Applications Architectures and Algorithms (IA3). IEEE, 2022.

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Staff, IEEE. 2021 IEEE ACM 11th Workshop on Irregular Applications Architectures and Algorithms (IA3). IEEE, 2021.

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Canty, Morton J. Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL. CRC, 2006.

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Image analysis, classification, and change detection in remote sensing: With algorithms for ENVI/IDL. 2nd ed. Taylor & Francis, 2010.

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Canty, Morton J. Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL, Second Edition. Taylor & Francis Group, 2010.

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Book chapters on the topic "ID3 Algorithm"

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Chang, Jyh-Yeong, Chien-Wen Cho, Su-Hwang Hsieh, and Shi-Tsung Chen. "Genetic Algorithm Based Fuzzy ID3 Algorithm." In Neural Information Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30499-9_153.

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Mehrotra, Latika, Prashant Sahai Saxena, and Nitika Vats Doohan. "Implementation of Modified ID3 Algorithm." In Information and Communication Technology for Sustainable Development. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3932-4_6.

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Dandin, Pratibha, D. B. Srinivas, H. Lakshmi, and K. M. Deepika. "Predicting Diabetes Using Id3 Algorithm." In Emerging Research in Computing, Information, Communication and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1342-5_24.

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Zhu, Lin, and Yang Yang. "Improvement of Decision Tree ID3 Algorithm." In Collaborate Computing: Networking, Applications and Worksharing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59288-6_59.

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Zhang, Quancheng, Kun You, and Gang Ma. "Application of ID3 Algorithm in Exercise Prescription." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21747-0_85.

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Li, Yanan. "Application of ID3 Algorithm in Mental Health." In The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89511-2_138.

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Li, Fachao, and Dandan Jiang. "Fuzzy ID3 Algorithm Based on Generating Hartley Measure." In Web Information Systems and Mining. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23982-3_24.

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Bartczuk, Łukasz, and Danuta Rutkowska. "A New Version of the Fuzzy-ID3 Algorithm." In Artificial Intelligence and Soft Computing – ICAISC 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11785231_111.

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Gui, Quanan. "Improved ID3 Algorithm in Sports Tourism Service System." In Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2092-1_27.

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Ye, Liuqing, Canhui Zhang, Dan Zhao, Longmin Bu, and Huiting Xu. "Implementation of ID3 Algorithm in Asset Inventory Model." In 2021 International Conference on Applications and Techniques in Cyber Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79200-8_34.

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Conference papers on the topic "ID3 Algorithm"

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Chi, Dianwei, Zehao Jia, Tiantian Huang, et al. "An improvement of a decision tree ID3 algorithm." In International Conference on Algorithms, High Performance Computing and Artificial Intelligence, edited by Pavel Loskot and Liang Hu. SPIE, 2024. http://dx.doi.org/10.1117/12.3051346.

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Luo, Hongchi. "Research on Employee Innovative Behavior Feedback System Based on Web-based ID3 Algorithm." In 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI). IEEE, 2024. https://doi.org/10.1109/icdacai65086.2024.00065.

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Chen, Zhibin, Yingxiong Nong, Chen Ya, Cong Huang, Bingzuo Wei, and Ying Lu. "Intelligent warning of spare parts inventory safety based on cloud computing and ID3 algorithm." In 2024 2nd International Conference on Computer Network Technology and Electronic and Information Engineering (CNTEIE). IEEE, 2024. https://doi.org/10.1109/cnteie66268.2024.00015.

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Liu Yuxun and Xie Niuniu. "Improved ID3 algorithm." In 2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccsit.2010.5564765.

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Kumar, A. B. Rajesh, C. Phani Ramesh, E. Madhusudhan, and M. Padmavathamma. "Threshold extended ID3 algorithm." In Fourth International Conference on Digital Image Processing (ICDIP 2012), edited by Mohamed Othman, Sukumar Senthilkumar, and Xie Yi. SPIE, 2012. http://dx.doi.org/10.1117/12.970247.

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Chen Jin, Luo De-lin, and Mu Fen-xiang. "An improved ID3 decision tree algorithm." In Education (ICCSE). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228509.

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Angayarkanni, A. S. P., and B. D. N. B. Kamal. "MRI mammogram image classification using ID3 algorithm." In IET Conference on Image Processing (IPR 2012). IET, 2012. http://dx.doi.org/10.1049/cp.2012.0464.

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Zhongtao, Liu, and Wang Hong. "ID3 optimization algorithm based on interestingness gain." In 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6014678.

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Kaewrod, Nicha, and Kietikul Jearanaitanakij. "Improving ID3 Algorithm by Using A* Search." In 2017 21st International Computer Science and Engineering Conference (ICSEC). IEEE, 2017. http://dx.doi.org/10.1109/icsec.2017.8443800.

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Kaewrod, Nicha, and Kietikul Jearanaitanakij. "Improving ID3 Algorithm by Ignoring Minor Instances." In 2018 22nd International Computer Science and Engineering Conference (ICSEC). IEEE, 2018. http://dx.doi.org/10.1109/icsec.2018.8712762.

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Reports on the topic "ID3 Algorithm"

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Hindmarsh, A. C. The PVODE and IDA Algorithms. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/802599.

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Allende López, Marcos, Diego López, Sergio Cerón, et al. Quantum-Resistance in Blockchain Networks. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003313.

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This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Cambridge Quantum Computing (CQC), and Tecnológico de Monterrey to identify and eliminate quantum threats in blockchain networks. The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms. When quantum computers become robust enough to run Shor's algorithm on a large scale, the most used asymmetric algorithms, utilized for digital signatures and message encryption, such as RSA, (EC)DSA, and (EC)DH
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Lehman, S. K. IDP++: signal and image processing algorithms in C++ version 4.1. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/461375.

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Blundell, S. Micro-terrain and canopy feature extraction by breakline and differencing analysis of gridded elevation models : identifying terrain model discontinuities with application to off-road mobility modeling. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40185.

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Elevation models derived from high-resolution airborne lidar scanners provide an added dimension for identification and extraction of micro-terrain features characterized by topographic discontinuities or breaklines. Gridded digital surface models created from first-return lidar pulses are often combined with lidar-derived bare-earth models to extract vegetation features by model differencing. However, vegetative canopy can also be extracted from the digital surface model alone through breakline analysis by taking advantage of the fine-scale changes in slope that are detectable in high-resolut
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Witzig, Andreas, Camilo Tello, Franziska Schranz, Johannes Bruderer, and Matthias Haase. Quantifying energy-saving measures in office buildings by simulation in 2D cross sections. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541623658.

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A methodology is presented to analyse the thermal behaviour of buildings with the goal to quantify energy saving measures. The solid structure of the building is modelled with finite elements to fully account for its ability to store energy and to accurately predict heat loss through thermal bridges. Air flow in the rooms is approximated by a lumped element model with three dynamical nodes per room. The dynamic model also contains the control algorithm for the HVAC system and predicts the net primary energy consumption for heating and cooling of the building for any time period. The new simula
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Visser, R., H. Kao, R. M. H. Dokht, A. B. Mahani, and S. Venables. A comprehensive earthquake catalogue for northeastern British Columbia: the northern Montney trend from 2017 to 2020 and the Kiskatinaw Seismic Monitoring and Mitigation Area from 2019 to 2020. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329078.

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To increase our understanding of induced seismicity, we develop and implement methods to enhance seismic monitoring capabilities in northeastern British Columbia (NE BC). We deploy two different machine learning models to identify earthquake phases using waveform data from regional seismic stations and utilize an earthquake database management system to streamline the construction and maintenance of an up-to-date earthquake catalogue. The completion of this study allows for a comprehensive catalogue in NE BC from 2014 to 2020 by building upon our previous 2014-2016 and 2017-2018 catalogues. Th
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