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Volumn 21, Issue 5, 2012, Pages

Reusable component-based architecture for decision tree algorithm design

Author keywords

Algorithm; architecture; classification; component; decision tree; rapid miner

Indexed keywords

COMPONENT; COMPONENT BASED; COMPONENT-BASED ARCHITECTURE; DECISION-TREE ALGORITHM; FAIR TESTING; NON-EXISTENCE; OPEN SOURCE FRAMEWORKS; POTENTIAL SOLUTIONS; RESEARCH COMMUNITIES; REUSABLE COMPONENTS; SOFTWARE DEVELOPER; TECHNOLOGY ENHANCED LEARNING; TIME GAP;

EID: 84862186287     PISSN: 02182130     EISSN: 17936349     Source Type: Journal    
DOI: 10.1142/S0218213012500224     Document Type: Conference Paper
Times cited : (4)

References (55)
  • 3
    • 67349199555 scopus 로고    scopus 로고
    • Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms
    • doi: 10.1016/j.artmed.2008.12.005
    • B. Samanta, G. L. Bird, M. Kuijpers, R. Zimmerman, G. P. Jarvik, G. Wernovsky et al., Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms, Artificial Intelligence in Medicine 46(3) (2009) 201-215, doi: 10.1016/j.artmed.2008.12.005.
    • (2009) Artificial Intelligence in Medicine , vol.46 , Issue.3 , pp. 201-215
    • Samanta, B.1    Bird, G.L.2    Kuijpers, M.3    Zimmerman, R.4    Jarvik, G.P.5    Wernovsky, G.6
  • 4
    • 79954595949 scopus 로고    scopus 로고
    • Electrocardiogram analysis using a combination of statistical geometric, and nonlinear heart rate variability features
    • doi: 10.1016/j.artmed.2010.09.005
    • A. Jovic and N. Bogunovic, Electrocardiogram analysis using a combination of statistical, geometric, and nonlinear heart rate variability features, Artificial Intelligence in Medicine (2010), doi: 10.1016/j.artmed.2010.09.005.
    • (2010) Artificial Intelligence in Medicine
    • Jovic, A.1    Bogunovic, N.2
  • 5
    • 34447254993 scopus 로고    scopus 로고
    • Privacy preserving decision tree learning over multiple parties
    • DOI 10.1016/j.datak.2007.02.004, PII S0169023X07000365
    • F. Emekci, O. Sahin, D. Agrawal, and A. ElAabbadi, Privacy preserving decision tree learning over multiple parties, Data & Knowledge Engineering 63(2) (2007) 348-361, doi: 10.1016/j.datak.2007.02.004. (Pubitemid 47048431)
    • (2007) Data and Knowledge Engineering , vol.63 , Issue.2 , pp. 348-361
    • Emekci, F.1    Sahin, O.D.2    Agrawal, D.3    El Abbadi, A.4
  • 6
    • 27844596815 scopus 로고    scopus 로고
    • Transmembrane segments prediction and understanding using support vector machine and decision tree
    • DOI 10.1016/j.eswa.2005.09.045, PII S0957417405002411, Intelligent Bioinformatics Systems
    • J. He, H. Hu, R. Harrison, P. Tai, and Y. Pan, Transmembrane segments prediction and understanding using support vector machine and decision tree. Expert Systems with Applications 30(1) (2006) 64-72, doi: 10.1016/j.eswa.2005. 09.045. (Pubitemid 41641821)
    • (2006) Expert Systems with Applications , vol.30 , Issue.1 , pp. 64-72
    • He, J.1    Hu, H.-J.2    Harrison, R.3    Tai, P.C.4    Pan, Y.5
  • 7
    • 60949101437 scopus 로고    scopus 로고
    • Towards an integrated e-mail forensic analysis framework
    • doi: 10.1016/j.diin.2009.01.004
    • R. Hadjidj, M. Debbabi, H. Lounis, F. Iqbal, A. Szporer, and D. Benredjem, Towards an integrated e-mail forensic analysis framework, Digital Investigation 5(3-4) (2009) 124-137, doi: 10.1016/j.diin.2009.01.004.
    • (2009) Digital Investigation , vol.5 , Issue.3-4 , pp. 124-137
    • Hadjidj, R.1    Debbabi, M.2    Lounis, H.3    Iqbal, F.4    Szporer, A.5    Benredjem, D.6
  • 8
    • 67349182232 scopus 로고    scopus 로고
    • Contextualized mobile recommendation service based on interactive social network discovered from mobile users
    • J. J. Jung, Contextualized mobile recommendation service based on interactive social network discovered from mobile users, Expert Systems with Applications 36 (2009) 11950-11956.
    • (2009) Expert Systems with Applications , vol.36 , pp. 11950-11956
    • Jung, J.J.1
  • 9
    • 84861092784 scopus 로고    scopus 로고
    • Diversity of specific quantitative, statistical and social methods, techniques and management models in management system
    • G. Savoiu, O. Jaško, and M. Čudanov, Diversity of specific quantitative, statistical and social methods, techniques and management models in management system, Management 14(52) (2010) 5-13.
    • (2010) Management , vol.14 , Issue.52 , pp. 5-13
    • Savoiu, G.1    Jaško, O.2    Čudanov, M.3
  • 10
    • 41749100893 scopus 로고    scopus 로고
    • Data mining method for listed companies' financial distress prediction
    • doi: 10.1016/j.knosys.2006.11.003
    • J. Sun and H. Li, Data mining method for listed companies' financial distress prediction, Theory and Practice 21 (2008) 1-5, doi: 10.1016/j.knosys.2006.11.003.
    • (2008) Theory and Practice , vol.21 , pp. 1-5
    • Sun, J.1    Li, H.2
  • 11
    • 79151471975 scopus 로고    scopus 로고
    • Trend discovery in financial time series data using a case based fuzzy decision tree
    • doi:10.1016/j.eswa.2010.11.006
    • P. C. Chang, C. Y. Fan, and J. L. Lin, Trend discovery in financial time series data using a case based fuzzy decision tree. Expert Systems with Applications 38(5) (2011) 6070-6080. doi:10.1016/j.eswa.2010.11.006.
    • (2011) Expert Systems with Applications , vol.38 , Issue.5 , pp. 6070-6080
    • Chang, P.C.1    Fan, C.Y.2    Lin, J.L.3
  • 17
    • 0000661829 scopus 로고
    • An exploratory technique for investigating large quantities of categorical data
    • V. G. Kass, An Exploratory Technique for Investigating Large Quantities of Categorical Data, Applied Statistics (1980) 119-127.
    • (1980) Applied Statistics , pp. 119-127
    • Kass, V.G.1
  • 18
    • 84950459261 scopus 로고
    • Tree-structured classification via generalized discriminant analysis (with discussion)
    • W. Y. Loh and N. Vanichsetakul, Tree-structured classification via generalized discriminant analysis (with discussion), Journal of the American Statistical Association 83 (1988) 715-728.
    • (1988) Journal of the American Statistical Association , vol.83 , pp. 715-728
    • Loh, W.Y.1    Vanichsetakul, N.2
  • 19
    • 0031312210 scopus 로고    scopus 로고
    • Split selection methods for classification trees
    • W. Y. Loh and Y. S. Shih, Split selection methods for classification trees, StatisticaSinica 7 (1997) 815-840.
    • (1997) StatisticaSinica , vol.7 , pp. 815-840
    • Loh, W.Y.1    Shih, Y.S.2
  • 21
    • 0036556537 scopus 로고    scopus 로고
    • Regression trees with unbiased variable selection and interaction detection
    • W. Y. Loh, Regression trees with unbiased variable selection and interaction detection, StatisticaSinica 12 (2002) 361-386.
    • (2002) StatisticaSinica , vol.12 , pp. 361-386
    • Loh, W.Y.1
  • 22
    • 33749677657 scopus 로고    scopus 로고
    • Unbiased recursive partitioning: A conditional inference framework
    • DOI 10.1198/106186006X133933
    • T. Hothorn, K. Hornik and A. Zeileis, Unbiased recursive partitioning: A conditional inference framework, Journal of Computational and Graphical Statistics 15(3) (2006) 651-674. (Pubitemid 44554201)
    • (2006) Journal of Computational and Graphical Statistics , vol.15 , Issue.3 , pp. 651-674
    • Hothorn, T.1    Hornik, K.2    Zeileis, A.3
  • 31
    • 32444450670 scopus 로고    scopus 로고
    • RDevelopment Core Team R, A Language And Environment For Statistical Computing (Vienna Austria, ISBN 3-900051-07-0
    • RDevelopment Core Team R, A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (Vienna, Austria, 2006), ISBN 3-900051-07-0, URL: http://www.R-project.org/.
    • (2006) R Foundation for Statistical Computing
  • 33
    • 0000459353 scopus 로고    scopus 로고
    • The Lack of a Priori Distinctions between Learning Algorithms
    • D. H. Wolpert, The lack of a priori distinctions between learning algorithms, Neural Computation 8 (1996) 1341-1390. (Pubitemid 126449973)
    • (1996) Neural Computation , vol.8 , Issue.7 , pp. 1341-1390
    • Wolpert, D.H.1
  • 34
    • 0002431740 scopus 로고    scopus 로고
    • Automatic construction of decision trees from data: A multidisciplinary survey
    • S. K. Murthy, Automatic construction of decision trees from data: A multidisciplinary survey, Data Mining and Knowledge Discovery 2 (1997) 345-389.
    • (1997) Data Mining and Knowledge Discovery , vol.2 , pp. 345-389
    • Murthy, S.K.1
  • 36
    • 23044519492 scopus 로고    scopus 로고
    • RainForest: A framework for fast decision tree construction of large datasets
    • J. Gehrke, R. Ramakrishnan, and V. Ganti, RainForest: A framework for fast decision tree construction of large datasets. Data Mining and Knowledge Discovery 4 (2000) 127-168.
    • (2000) Data Mining and Knowledge Discovery , vol.4 , pp. 127-168
    • Gehrke, J.1    Ramakrishnan, R.2    Ganti, V.3
  • 38
    • 30044434365 scopus 로고    scopus 로고
    • Incremental learning of linear model trees
    • DOI 10.1007/s10994-005-1121-8
    • D. Potts and C. Sammut, Incremental learning of linear model trees, Machine Learning 61 (2005) 5-48. (Pubitemid 43049361)
    • (2005) Machine Learning , vol.61 , Issue.1-3 , pp. 5-48
    • Potts, D.1    Sammut, C.2
  • 52
    • 0036832990 scopus 로고    scopus 로고
    • Hybrid decision tree
    • DOI 10.1016/S0950-7051(02)00038-2, PII S0950705102000382
    • Z.-H. Zhou and Z.-Q. Chen, Hybrid decision tree, Knowledge-Based Systems 15(8) (2002) 515-528. (Pubitemid 34732325)
    • (2002) Knowledge-Based Systems , vol.15 , Issue.8 , pp. 515-528
    • Zhou, Z.-H.1    Chen, Z.-Q.2
  • 55
    • 79953717390 scopus 로고    scopus 로고
    • The reliability estimation, prediction and measuring of component-based software
    • M. Palviainen, A. Evesti, and E. Ovaska, The reliability estimation, prediction and measuring of component-based software, The Journal of Systems and Software 84(2011) 1054-1070.
    • (2011) The Journal of Systems and Software , vol.84 , pp. 1054-1070
    • Palviainen, M.1    Evesti, A.2    Ovaska, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.