Induction of decision trees

Quinlan, J. R.·1986·Machine Learning
DOI 10.1007/bf00116251

Cited by (1,063)

Items 801–900 of 1,063

  1. Rattle: A Data Mining GUI for R
    J Williams Graham · 2009 · The R Journal
  2. DNA visual and analytic data mining
    P. Hoffman, Georges Grinstein, Kenneth A. Marx, Ivo Große, Eugene Stanley · 2002 · Visualization
  3. Developing interpretable models with optimized set reduction for identifying high-risk software components
    Lionel Briand, V.R. Brasili, Christopher J. Hetmanski · 1993 · IEEE Transactions on Software Engineering
  4. Transient Instability Prediction Using Decision Tree Technique
    Turaj Amraee, Soheil Ranjbar · 2013 · IEEE Transactions on Power Systems
  5. Applied machine learning and artificial intelligence in rheumatology
    Maria Hügle, Patrick Omoumi, Jacob M. van Laar, Joschka Boedecker, Thomas Hügle · 2020 · Rheumatology Advances in Practice
  6. Dimensionality reduction of unsupervised data
    Manoranjan Dash, Hua Liu, Jia Yao · 2002 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
  7. Predicting bitcoin returns using high-dimensional technical indicators
    Huang, Jing-Zhi, Huang, William, Ni, Jun · 2019 · The Journal of Finance and Data Science
  8. How to measure the amount of knowledge conveyed by Atanassov’s intuitionistic fuzzy sets
    Eulalia J Szmidt, Janusz Kacprzyk, Paweł Bujnowski · 2013 · Information Sciences
  9. A polarization fusion network with geometric feature embedding for SAR ship classification
    Tianwen Zhang, Xiaoling Zhang · 2021 · Pattern Recognition
  10. ID5: An Incremental ID3
    Paul E. Utgoff · 1988 · Elsevier eBooks
  11. Comparison of a three-dimensional and two-dimensional camera system for automated measurement of back posture in dairy cows
    Stefano Viazzi, Claudia Bahr, T. van Hertem, A. Schlageter-Tello, C.E.B. Romanini, I. Halachmi, C. Lokhorst, Daniël Berckmans · 2013 · Computers and Electronics in Agriculture
  12. Implementing Decision Trees and Forests on a GPU
    Toby Sharp · 2008 · Lecture notes in computer science
  13. KLIFS: a structural kinase-ligand interaction database
    Albert J. Kooistra, Georgi K. Kanev, Oscar P. J. van Linden, Rob Leurs, Iwan J. P. de Esch, Chris de Graaf · 2015 · Nucleic Acids Research
  14. Disease Prediction using Machine Learning Algorithms
    Sneha Grampurohit, Chetan V. Sagarnal · 2020 · International Conference for Emerging Technology (INCET)
  15. Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
    Himan Shahabi, Ataollah Shirzadi, Somayeh Ronoud, Shahrokh Asadi, Binh Thai Pham, Fatemeh Mansouripour, Marten Geertsema, John J. Clague, Dieu Tien Bui · 2020 · Geoscience Frontiers
  16. A new method for predicting vegetation distributions using decision tree analysis in a geographic information system
    David M. Moore, Brian G. Lees, S. M. Davey · 1991 · Environmental Management
  17. Bias in information-based measures in decision tree induction
    A. P. White, Wei Zhong Liu · 1994 · Machine Learning
  18. Fast training algorithms for multilayer neural nets
    Richard P. Brent · 1991 · IEEE Transactions on Neural Networks
  19. Adaptation-guided retrieval: questioning the similarity assumption in reasoning
    Barry Smyth, Mark T. Keane · 1998 · Artificial Intelligence
  20. Hybrid dimension reduction by integrating feature selection with feature extraction method for text clustering
    Kusum Kumari Bharti, Pramod Kumar Singh · 2014 · Expert Systems with Applications
  21. Extracting Rules from Artificial Neural Networks with Distributed Representations
    Sebastian Thrun · 1994
  22. Applying machine learning to agricultural data
    Robert John McQueen, Stephen R. Garner, Craig G. Nevill-Manning, Ian H. Witten · 1995 · Computers and Electronics in Agriculture
  23. An improved NSGA-III algorithm for feature selection used in intrusion detection
    Yingying Zhu, Junwei Liang, Jianyong Chen, Zhong Ming · 2016 · Knowledge-Based Systems
  24. Predictive maintenance using tree-based classification techniques: A case of railway switches
    Zaharah Allah Bukhsh, Aaqib Saeed, Irina Stipanović, Andries G. Dorée · 2019 · Transportation Research Part C Emerging Technologies
  25. State‐of‐the‐Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System
    Rahul K. Sevakula, Wan-Tai Michael Au-Yeung, Jagmeet P. Singh, Edwin Kevin Heist, Eric M. Isselbacher, Antonis A. Armoundas · 2020 · Journal of the American Heart Association
  26. Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
    Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, Qurrat- ul-ain, Kamran Amjad, Yi Yueyang, Jinhai Si, Muhammad Awais · 2024 · Archives of Computational Methods in Engineering
  27. Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder
    Uddin, L Q, Dajani, D R, Voorhies, W, Bednarz, H, Kana, R K · 2017 · Translational Psychiatry
  28. Data mining of cellular automata's transition rules
    Xia Li, Anthony G.O. Yeh · 2004 · International Journal of Geographical Information Systems
  29. An efficient rough feature selection algorithm with a multi-granulation view
    Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian · 2012 · International Journal of Approximate Reasoning
  30. Intrusion detection based on Machine Learning techniques in computer networks
    Ayesha Siddiqua Dina, Dakshnamoorthy Manivannan · 2021 · Internet of Things
  31. Machine Learning Based on Attribute Interactions
    Aleks Jakulin · 2005 · Repository of the University of Ljubljana (University of Ljubljana)
  32. Inference and analysis of formal models of botnet command and control protocols
    Chia Yuan Cho, Domagoj Babi ć, Eui Chul Richard Shin, Dawn Xiaodong Song · 2010 · ACM SIGSAC Conference on Computer and Communications Security (CCS)
  33. A Disquisition on the Active Sites of Heterogeneous Catalysts for Electrochemical Reduction of CO2 to Value‐Added Chemicals and Fuel
    Rahman Daiyan, Wibawa Hendra Saputera, Hassan Masood, Josh Leverett, Xunyu Lu, Rose Amal · 2020 · Advanced Energy Materials
  34. Deep Learning With Gaussian Differential Privacy
    Zhiqi Bu, Jinshuo Dong, Qi Long, SU Wei-Jie · 2020 · Harvard Data Science Review
  35. BaobabView: Interactive construction and analysis of decision trees
    Stef van den Elzen, Jarke J. van Wijk · 2011 · IEEE Conference on Visual Analytics Science and Technology (VAST)
  36. Machine-learning techniques and their applications in manufacturing
    Duc Truong Pham, Ali Afify · 2005 · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
  37. Recognition of Pornographic Web Pages by Classifying Texts and Images
    Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, Steve Maybank · 2007 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  38. Learning invariants using decision trees and implication counterexamples
    Pranav Garg, Daniel Neider, P. Madhusudan, Dan Roth · 2016 · ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL)
  39. A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations
    Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec · 2017 · PLoS ONE
  40. Trading Accuracy for Simplicity in Decision Trees
    Marko Bohanec, Ivan Bratko · 1994 · Machine Learning
  41. Survey of Job Shop Scheduling Techniques
    Albert T Jones, Luis Carlos Rabelo, Abeer Sharawi · 1999 · Wiley Encyclopedia of Electrical and Electronics Engineering
  42. Feature selection with test cost constraint
    Fan Min, Qinghua Hu, William Zhu · 2013 · International Journal of Approximate Reasoning
  43. ANN-DT: an algorithm for extraction of decision trees from artificial neural networks
    G.P.J. Schmitz, Chris Aldrich, F.S. Gouws · 1999 · IEEE Transactions on Neural Networks
  44. Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression
    Qi Chen, Mengjie Zhang, Bing Xue · 2017 · IEEE Transactions on Evolutionary Computation
  45. Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering
    Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Andrea Kulakov, Ivan Chorbev, Rossitza Goleva, Nuno Gonçalo Coelho Costa Pombo, Nuno M. García · 2017 · IEEE Access
  46. Knowledge Representation
    James G. Shanahan · 2000 · Springer eBooks
  47. Inducing oblique decision trees with evolutionary algorithms
    Erick Cantú‐Paz, Chandrika Kamath · 2003 · IEEE Transactions on Evolutionary Computation
  48. Neural Networks in Clinical Medicine
    W.D. Penny, David Frost · 1996 · Medical Decision Making
  49. A systematic literature review of automatic Alzheimer’s disease detection from speech and language
    Petti, Ulla, Baker, Simon, Korhonen, Anna · 2020 · Journal of the American Medical Informatics Association
  50. Generalized subsumption and its applications to induction and redundancy
    Buntine, Wray · 1988 · Artificial Intelligence
  51. Use of machine learning and data analytics to increase drilling efficiency for nearby wells
    Chiranth Hegde, K. E. Gray · 2017 · Journal of Natural Gas Science and Engineering
  52. Bootstrap Aggregating and Random Forest
    Tae‐Hwy Lee, Aman Ullah, Ran Wang · 2019 · Advanced studies in theoretical and applied econometrics
  53. Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques
    Sunmin Lee, Yunjung Hyun, Saro Lee, Moung-Jin Lee · 2020 · Remote Sensing
  54. A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training
    Alen Rajšp, Iztok Fister · 2020 · Applied Sciences
  55. Financial forecasting using genetic algorithms
    Samir W. Mahfoud, Ganesh Mani · 1996 · Applied Artificial Intelligence
  56. Analysing and improving the diagnosis of ischaemic heart disease with machine learning
    Matjaž Kukar, Igor Kononenko, Ciril Grošelj, Katarina Kralj, Jure Fettich · 1999 · Artificial Intelligence in Medicine
  57. Prediction of Stock Market Index Movement by Ten Data Mining Techniques
    Phichhang Ou, Hengshan Wang · 2009 · Modern Applied Science
  58. CART: Classification and Regression Trees
    Dan Steinberg · 2009 · Chapman & Hall/CRC eBooks
  59. De-anonymizing programmers via code stylometry
    Aylin Caliskan Islam, Richard Harang, Andy Liu, Arvind Narayanan, Clare R. Voss, Fabian Yamaguchi, Rachel Greenstadt · 2015 · USENIX Security Symposium
  60. SVM and PCA based fault classification approaches for complicated industrial process
    Chen Jing, Jian Hou · 2015 · Neurocomputing
  61. An adaptive ensemble classifier for mining concept drifting data streams
    Dewan Md. Farid, Zhang Li, Alamgir Hossain, Chowdhury Mofizur Rahman, Rebecca Strachan, Graham Sexton, Keshav Prasad Dahal · 2013 · Expert Systems with Applications
  62. Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data
    Zhuli Xie, Yaoliang Chen, Dengsheng Lu, Guiying Li, Erxue Chen · 2019 · Remote Sensing
  63. Twitter Sentiment Analysis Based on Ordinal Regression
    Shihab Elbagir, Jing Yang · 2019 · IEEE Access
  64. AI student success predictor: Enhancing personalized learning in campus management systems
    Muhammad Ali Shoaib, Nasir Sayed, Jaiteg Singh, Jana Shafi, Shakir Khan, Farman Ali · 2024 · Computers in Human Behavior
  65. Privacy-preserving decision trees over vertically partitioned data
    Jaideep S. Vaidya, Chris Clifton, Murat Kantarcıoğlu, A. Scott Patterson · 2008 · ACM Transactions on Knowledge Discovery from Data
  66. Determinants of House Price: A Decision Tree Approach
    Gang‐Zhi Fan, Seow Eng Ong, Hian Chye Koh · 2006 · Urban Studies
  67. Multicriteria assignment method PROAFTN: Methodology and medical application
    Nabil Belacel · 2000 · European Journal of Operational Research
  68. A review of smart homes in healthcare
    Mohsen Amiribesheli, Asma Benmansour, Abdelhamid Bouchachia · 2015 · Journal of Ambient Intelligence and Humanized Computing
  69. Combining Pixel- and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery
    Xin Huang, Cong Xie, Xing Fang, Liangpei Zhang · 2015 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  70. Machine Learning in a Quantum World
    Esma Aı̈meur, Gilles Brassard A, Sébastien Gambs · 2006 · Lecture notes in computer science
  71. A MapReduce Implementation of C4.5 Decision Tree Algorithm
    Wei Dai, Wei Ji · 2014 · International Journal of Database Theory and Application
  72. Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images
    Everton Castel�ão Tetila, Bruno Brandoli Machado, Nícolas Alessandro de Souza Belete, David Augusto Guimaraes, Hemerson Pistori · 2017 · IEEE Geoscience and Remote Sensing Letters
  73. A novel combinatorial optimization based feature selection method for network intrusion detection
    Anjum Nazir, Rizwan Ahmed Khan · 2020 · Computers & Security
  74. Nonintrusive Load Monitoring: A Temporal Multilabel Classification Approach
    Kaustav Basu, Vincent Debusschere, Seddik Bacha, Ujjwal Maulik, S. Bondyopadhyay · 2014 · IEEE Transactions on Industrial Informatics
  75. Decision tree analysis of construction fall accidents involving roofers
    Gülgün Mıstıkoğlu, İbrahim Halil Gerek, Ercan Erdiş, P.E. Mumtaz Usmen, Hulya Cakan, Emrah Kazan · 2014 · Expert Systems with Applications
  76. Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches
    Omid Rahmati, Seyed Amir Naghibi, Himan Shahabi, Dieu Tien Bui, Biswajeet Pradhan, Ali Azareh, Elham Rafiei-Sardooi, Aliakbar Nazari Samani, Assefa Mekonnen Melesse · 2018 · Journal of Hydrology
  77. Machine-Learning-Based Predictive Modeling of Glass Transition Temperatures: A Case of Polyhydroxyalkanoate Homopolymers and Copolymers
    Ghanshyam Pilania, Carl N. Iverson, Turab Lookman, Babetta L. Marrone · 2019 · Journal of Chemical Information and Modeling
  78. Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2 Reduction
    Ying Guo, Xinru He, Yuming Su, Yiheng Dai, Mingcan Xie, Shuangli Yang, Jiawei Chen, Kun Wang, Da Zhou, Cheng Wang · 2021 · Journal of the American Chemical Society
  79. Learning nonrecursive definitions of relations with linus
    Nada Lavrač A, Sašo Džeroski, Marko Grobelnik · 1991 · Lecture notes in computer science
  80. General and Efficient Multisplitting of Numerical Attributes
    Tapio Elomaa, Juho Rousu · 1999 · Machine Learning
  81. Selecting a classification method by cross-validation
    Cullen Schaffer · 1993 · Machine Learning
  82. Vertical bagging decision trees model for credit scoring
    Defu Zhang, Xiyue Zhou, Stephen C.H. Leung, Jiemin Zheng · 2010 · Expert Systems with Applications
  83. Automated identification of normal and diabetes heart rate signals using nonlinear measures
    U. Rajendra Acharya, Oliver Faust, Nahrizul Adib Kadri, Jasjit S. Suri, Wenwei Yu · 2013 · Computers in Biology and Medicine
  84. MARVEL, a Tool for Prediction of Bacteriophage Sequences in Metagenomic Bins
    Deyvid Amgarten, Lucas P. P. Braga, Aline Maria da Silva, João Carlos Setúbal · 2018 · Frontiers in Genetics
  85. Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review
    Hanya Mahmood, Muhammad Shaban, Blanca Iciar Indave, Alan Roger Santos‐Silva, Nasir Rajpoot, Syed Ali Khurram · 2020 · Oral Oncology
  86. A novel decision support system for managing predictive maintenance strategies based on machine learning approaches
    Simone Arena, E. Florian, Ilenia Zennaro, Pier Francesco Orrù, Fabio Sgarbossa · 2021 · Safety Science
  87. Knowledge-Based Support Vector Machine Classifiers
    Glenn Fung, Olvi L. Mangasarian, JUDE W. SHAVLIK · 2002
  88. Integrating fuzzy knowledge by genetic algorithms
    Ching-Hung Wang, Tzung‐Pei Hong, Shian‐Shyong Tseng · 1998 · IEEE Transactions on Evolutionary Computation
  89. Untitled work
    2015 · International Conference on Artificial Intelligence and Statistics
  90. Machine learning applied to road safety modeling: A systematic literature review
    Silva, Philippe Barbosa, Andrade, Michelle, Ferreira, Sara · 2020 · Journal of Traffic and Transportation Engineering (English Edition)
  91. A study of supervised term weighting scheme for sentiment analysis
    Zhihong Deng, Kun-Hu Luo, Hongliang Yu · 2013 · Expert Systems with Applications
  92. Verification and planning for stochastic processes with asynchronous events
    Håkan L. S. Younes, Reid G. Simmons · 2004
  93. Comparative Analysis of Classification Algorithms on Different Datasets using WEKA
    Rohit Arora, Suman Suman · 2012 · International Journal of Computer Applications
  94. Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides
    Jing Xu, Fuyi Li, André Leier, Dongxu Xiang, Hsin‐Hui Shen, Tatiana T. Marquez‐Lago, Jian Li, Dong‐Jun Yu, Jiangning Song · 2021 · Briefings in Bioinformatics
  95. Hierarchical mixtures of experts and the EM algorithm
    Michael I. Jordan, Robert A. Jacobs · 2005 · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks
  96. Unsupervised generation of data mining features from linked open data
    Heiko Paulheim, Johannes Fürnkranz · 2012 · International Conference on Web Intelligence, Mining and Semantics
  97. Structured firewall design
    Mohamed G. Gouda, Alex X. Liu · 2006 · Computer Networks
  98. Demystification of AI-driven medical image interpretation: past, present and future
    Savadjiev, Peter, Chong, Jaron, Dohan, Anthony, Vakalopoulou, Maria, Reinhold, Caroline, Paragios, Nikos, Gallix, Benoit · 2019 · European Radiology
  99. When Malware is Packin' Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features
    Hojjat Aghakhani, Fabio Gritti, Francesco Mecca, Martina Lindorfer, Stefano Ortolani, Davide Balzarotti, Giovanni Vigna, Christopher Kruegel · 2020 · Network and Distributed System Security Symposium
  100. Machine Learning for Advanced Wireless Sensor Networks: A Review
    Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi, Sangkeum Lee, Dongsoo Har · 2020 · IEEE Sensors Journal