Search results for "c4.5"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Ping Yao	Comparative Study on Class Imbalance Learning for Credit Scoring.	HIS (2)	2009	DBLP DOI BibTeX RDF	weighted C4.5, weighted SVM, weight Rough Set, SVM, Rough Set, C4.5, credit scoring, class imbalance learning
1	Sombut Foitong, Pornthep Rojanavasu, Boonwat Attachoo, Ouen Pinngern	Estimating Optimal Feature Subsets Using Mutual Information Feature Selector and Rough Sets.	PAKDD	2009	DBLP DOI BibTeX RDF	Nonlinear Problems, Rough sets, Mutual Information, MLP, C4.5
1	Yan Wang, Lizhuang Ma, Xiaowei Liao, Ping Liu	Correlation between Child-Pugh Degree and the Four Examinations of Traditional Chinese Medicine (TCM) with Liver Cirrhosis.	BMEI (2)	2008	DBLP DOI BibTeX RDF	Child-Pugh, C4.5, TCM
1	Pham Thi Xuan Thao, Tran Quoc Tri, Dinh Dien, Nigel Collier	Named entity recognition in Vietnamese using classifier voting.	ACM Trans. Asian Lang. Inf. Process.	2007	DBLP DOI BibTeX RDF	Naïve Bayes, Transformation Based Learning, Support Vector Machines, voting, Conditional Random Fields, Named entity recognition, C4.5, Vietnamese
1	Calum S. Robertson, Shlomo Geva, Rodney Wolff	Predicting the Short-Term Market Reaction to Asset Specific News: Is Time Against Us?	PAKDD Workshops	2007	DBLP DOI BibTeX RDF	SVM, Document Classification, News, Stock Market, C4.5
1	Dai Lei, Chen You, Xiaochun Yun	Optimizing IP Flow Classification Using Feature Selection.	PDCAT	2007	DBLP DOI BibTeX RDF	Feature Selection, C4.5, Flow Classification
1	György Szarvas, Richárd Farkas, András Kocsor	A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms.	Discovery Science	2006	DBLP DOI BibTeX RDF	machine learning, decision tree, Boosting, voting, Named Entity Recognition, C4.5, NER
1	Michael G. Madden, Tom Howley	Transfer of Experience Between Reinforcement Learning Environments with Progressive Difficulty.	Artif. Intell. Rev.	2004	DBLP DOI BibTeX RDF	experience transfer, Progressive RL, reinforcement learning, Naive Bayes, Q-learning, rule learning, C4.5, PART
1	Giles Hooker	Diagnosing extrapolation: tree-based density estimation.	KDD	2004	DBLP DOI BibTeX RDF	trees-based models, clustering, visualization, interpretation, density estimation, diagnostics, modeling methodologies, extrapolation, CART, C4.5
1	Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen	Empirical Case Studies of Combining Software Quality Classification Models.	QSIC	2003	DBLP DOI BibTeX RDF	Decision Stumps, combined decision, software quality, Boosting, Bagging, C4.5
1	Salvatore Ruggieri	Efficient C4.5.	IEEE Trans. Knowl. Data Eng.	2002	DBLP DOI BibTeX RDF	data mining, decision trees, supervised learning, inductive learning, C4.5
1	Taghi M. Khoshgoftaar, Erik Geleyn, Laurent A. Nguyen, Lofton A. Bullard	Cost-Sensitive Boosting In Software Quality Modeling.	HASE	2002	DBLP DOI BibTeX RDF	Decision Stumps, Cost-Boosting, Boosting, software quality modeling, C4.5, cost-sensitivity
1	Sandro Morasca	A proposal for using continuous attributes in classification trees.	SEKE	2002	DBLP DOI BibTeX RDF	decision trees, C4.5, ID3, continuous attributes
1	Justin S. Di Stefano, Tim Menzies	Machine Learning for Software Engineering: Case Studies in Software Reuse.	ICTAI	2002	DBLP DOI BibTeX RDF	AI algorithms, AI in software engineering, AI in data mining, treatment learning, association rule learning, J4.8, J4.8 PART, TAR2, machine learning, empirical studies, reuse, APRIORI, decision tree learning, C4.5
1	Mihai M. Lazarescu, Horst Bunke, Svetha Venkatesh	Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques.	SSPR/SPR	2000	DBLP DOI BibTeX RDF	machine learning, graph matching, graph isomorphism, c4.5, structural pattern recognition, database retrieval, database indexing