Results 101 to 110 of about 23,893 (215)
, 1995 This paper introduces ICET, a new algorithm for cost-sensitive classification. ICET uses a genetic algorithm to evolve a population of biases for a decision tree induction algorithm.
Turney, P. D.
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A Comparison of Multi-instance Learning Algorithms [PDF]
, 2006 Motivated by various challenging real-world applications, such as drug activity prediction and image retrieval, multi-instance (MI) learning has attracted considerable interest in recent years. Compared with standard supervised learning, the MI learning
Dong, Lin
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KnowbaseThis study aims to implement the C4.5 algorithm to build a model for predicting student success in database system courses in the Informatics and Computer Engineering Education study program at UIN Sjech M. Djamil Djambek Bukittinggi. Using the Knowledge
Nanda Pratama Alfyandri +2 more
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Morphological Analysis as Classification: an Inductive-Learning Approach
, 1996 Morphological analysis is an important subtask in text-to-speech conversion, hyphenation, and other language engineering tasks. The traditional approach to performing morphological analysis is to combine a morpheme lexicon, sets of (linguistic) rules ...
Bosch, Antal van den +2 more
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Comparison of C4.5 Algorithm, Naive Bayes and Support Vector Machine (SVM) in Predicting Customers That Potentially Open Deposits [PDF]
, 2018 This research is based on the application of data mining processing to produce information that is useful in helping decision making. In this study aims to determine the superior algorithm between C4.5, Naive Bayes and SVM algorithms in predicting which ...
Kurnia, Y. (Yusuf), Kusuma, K. (Kuera)
core
ANALYZING BIG DATA WITH DECISION TREES [PDF]
, 2014 ANALYZING BIG DATA WITH DECISION ...
Leong, Lok Kei
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Ketepatan Klasifikasi Status Kerja Di Kota Tegal Menggunakan Algoritma C4.5 Dan Fuzzy K-nearest Neighbor in Every Class (Fk-nnc) [PDF]
, 2015 Unemployment is a very crucial problem that always deal a developing country and affected a national foundation. It used two methods for classifying a employment status on productive society in Tegal City on August 2014, the methods are C4.5 Algorithm ...
Ispriyanti, D. (Dwi) +2 more
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Improvement and Application of Decision Tree C4.5 Algorithm
DEStech Transactions on Computer Science and Engineering, 2018 The C4.5 algorithm as the most popular decision tree algorithm, there are still some deficiencies, C4.5 algorithm uses post-pruning to solve the over-fitting problem, but increase the modeling overhead, in response to this problem the idea of combining over-fitting branches ahead of time in the process of creating a decision tree is proposed and ...
Jie YE, Li-duo HOU
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Prediction and control of stroke by data mining
International Journal of Preventive Medicine, 2013 Background: Today there are abounding collected data in cases of various diseases in medical sciences. Physicians can access new findings about diseases and procedures in dealing with them by probing these data. This study was performed to predict stroke
Leila Amini +7 more
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DATA MINING ANALYSIS OF SHELL OIL SALES USING THE C4.5 ALGORITHM AT CV. HARAPAN KARYA MANDIRI
Jurnal Teknoif Teknik Informatika Institut Teknologi PadangThis study focuses on the analysis of Shell oil sales at CV. Harapan Karya Mandiri (HKM) Bengkulu, which faces challenges in predicting consumer demand and managing stock efficiently. CV. HKM Bengkulu is an official distributor of PT.
Seci Monika, Muhammad Husni Rifqo
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