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Volumn 12, Issue 1, 1997, Pages 1-40

Simplifying decision trees: A survey

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATA STRUCTURES; DECISION THEORY; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; SURVEYS;

EID: 0031101089     PISSN: 02698889     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0269888997000015     Document Type: Review
Times cited : (239)

References (143)
  • 4
    • 0343444321 scopus 로고
    • A hybrid indexing and retrieval strategy for advisory CBR systems built with REMIND
    • Chantilly, France
    • Barletta, R, 1994. "A hybrid indexing and retrieval strategy for advisory CBR systems built with REMIND" Proc. Second European Workshop on Case-Based Reasoning 49-58, Chantilly, France.
    • (1994) Proc. Second European Workshop on Case-Based Reasoning , pp. 49-58
    • Barletta, R.1
  • 5
    • 0028443644 scopus 로고
    • Trading accuracy for simplicity in decision trees
    • Bohanec, M and Bratko, I, 1994. "Trading accuracy for simplicity in decision trees" Machine Learning 15 223-250.
    • (1994) Machine Learning , vol.15 , pp. 223-250
    • Bohanec, M.1    Bratko, I.2
  • 8
    • 85118837783 scopus 로고
    • Addressing the selective superiority problem: Automatic algorithm/model class section
    • Morgan Kaufmann
    • Brodley, CE, 1993. "Addressing the selective superiority problem: automatic algorithm/model class section" Proc. Tenth International Conference on Machine Learning 17-24, Morgan Kaufmann.
    • (1993) Proc. Tenth International Conference on Machine Learning , pp. 17-24
    • Brodley, C.E.1
  • 9
    • 0002976263 scopus 로고
    • Recursive automatic bias selection for classifier construction
    • Brodley, CE, 1995a. "Recursive automatic bias selection for classifier construction" Machine Learning 20 63-94.
    • (1995) Machine Learning , vol.20 , pp. 63-94
    • Brodley, C.E.1
  • 10
    • 6744266523 scopus 로고
    • Automatic selection of split criterion during tree growing based on node location
    • Morgan Kaufmann
    • Brodley, CE, 1995b. "Automatic selection of split criterion during tree growing based on node location" Proc. Twelfth International Conference on Machine Learning 73-80, Morgan Kaufmann.
    • (1995) Proc. Twelfth International Conference on Machine Learning , pp. 73-80
    • Brodley, C.E.1
  • 12
    • 0002980086 scopus 로고
    • Learning classification trees
    • Buntine, W, 1992. "Learning classification trees" Statistics and Computing 2, 63-73.
    • (1992) Statistics and Computing , vol.2 , pp. 63-73
    • Buntine, W.1
  • 13
    • 0002117591 scopus 로고
    • A further comparison of splitting rules for decision-tree induction
    • Buntine, W and Niblett, T, 1992. "A further comparison of splitting rules for decision-tree induction" Machine Learning 8 75-86.
    • (1992) Machine Learning , vol.8 , pp. 75-86
    • Buntine, W.1    Niblett, T.2
  • 14
    • 37749034335 scopus 로고
    • On changing continuous attributes into ordered discrete attributes
    • Springer-Verlag
    • Catlett, J, 1991. "On changing continuous attributes into ordered discrete attributes" Proc. European Working Session on Learning 164-178, Springer-Verlag.
    • (1991) Proc. European Working Session on Learning , pp. 164-178
    • Catlett, J.1
  • 23
    • 0031071741 scopus 로고    scopus 로고
    • IGTree: Using trees for compression and classification in lazy learning algorithms
    • to appear
    • Daelemans, W, van den Bosch, A and Weijters, G, 1997. "IGTree: using trees for compression and classification in lazy learning algorithms" Artificial Intelligence Review (to appear).
    • (1997) Artificial Intelligence Review
    • Daelemans, W.1    Van Den Bosch, A.2    Weijters, G.3
  • 24
    • 85152623456 scopus 로고
    • Small disjuncts in action: Learning to diagnose errors in the local loop of the telephone network
    • Morgan Kaufmann
    • Danyluk, AP and Provost, FJ, 1993. "Small disjuncts in action: learning to diagnose errors in the local loop of the telephone network" Proc. Tenth International Conference on Machine Learning 81-88, Morgan Kaufmann.
    • (1993) Proc. Tenth International Conference on Machine Learning , pp. 81-88
    • Danyluk, A.P.1    Provost, F.J.2
  • 27
    • 0003552733 scopus 로고
    • An evaluation of feature selection methods and their application to computer security
    • University of California, Department of Computer Science
    • Doak, J, 1992. An evaluation of feature selection methods and their application to computer security Technical Report CSE-92-18, University of California, Department of Computer Science.
    • (1992) Technical Report CSE-92-18
    • Doak, J.1
  • 36
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • Fisher, DH, 1989. "Knowledge acquisition via incremental conceptual clustering" Machine Learning 2 139-172.
    • (1989) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 39
    • 0017480535 scopus 로고
    • A recursive partitioning decision rule for nonparametric classification
    • Friedman, JH, 1977. "A recursive partitioning decision rule for nonparametric classification" IEEE Transactions on Computers 26 404-408.
    • (1977) IEEE Transactions on Computers , vol.26 , pp. 404-408
    • Friedman, J.H.1
  • 41
    • 85152635090 scopus 로고
    • An ounce of knowledge is worth a ton of data: Quantitative studies of the trade-off between expertise and data based on statistically well-founded empirical induction
    • Morgan Kaufmann
    • Gaines, BR, 1989. "An ounce of knowledge is worth a ton of data: quantitative studies of the trade-off between expertise and data based on statistically well-founded empirical induction" Proc. Sixth International Workshop on Machine Learning 156-159, Morgan Kaufmann.
    • (1989) Proc. Sixth International Workshop on Machine Learning , pp. 156-159
    • Gaines, B.R.1
  • 43
    • 0001935405 scopus 로고    scopus 로고
    • Transforming rules and trees into comprehensible knowledge structures
    • UM Fayyad, G Piatetsky-Shapiro, P Smyth and R Uthurusamy (eds.), MIT Press
    • Gaines, BR, 1996. "Transforming rules and trees into comprehensible knowledge structures" In: UM Fayyad, G Piatetsky-Shapiro, P Smyth and R Uthurusamy (eds.), Advances in Knowledge Discovery and Data Mining, MIT Press.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Gaines, B.R.1
  • 50
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • Holte, RC, 1993. "Very simple classification rules perform well on most commonly used datasets" Machine Learning 11 63-91.
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R.C.1
  • 53
    • 0001815269 scopus 로고
    • Constructing optimal binary decision trees is NP-complete
    • Hyafil, L and Rivest, R, 1976. "Constructing optimal binary decision trees is NP-complete" Information Processing Letters 5 (1) 15-17.
    • (1976) Information Processing Letters , vol.5 , Issue.1 , pp. 15-17
    • Hyafil, L.1    Rivest, R.2
  • 56
    • 0342564187 scopus 로고
    • A statistical approach to decision tree modelling
    • Morgan Kaufmann
    • Jordan, MI, 1994. "A statistical approach to decision tree modelling" Proc. Eleventh Conference on Machine Learning 363-370, Morgan Kaufmann.
    • (1994) Proc. Eleventh Conference on Machine Learning , pp. 363-370
    • Jordan, M.I.1
  • 57
    • 38249003595 scopus 로고
    • The application of confidence interval error analysis to the design of decision tree classifiers
    • Kalkanis, G, 1993. "The application of confidence interval error analysis to the design of decision tree classifiers" Pattern Recognition Letters 14 355-361.
    • (1993) Pattern Recognition Letters , vol.14 , pp. 355-361
    • Kalkanis, G.1
  • 59
    • 0028482795 scopus 로고
    • An investigation on the conditions of pruning an induced decision tree
    • Kim, H and Koehler, GJ, 1994. "An investigation on the conditions of pruning an induced decision tree" European Journal of Operational Research 77 (1) 82-95.
    • (1994) European Journal of Operational Research , vol.77 , Issue.1 , pp. 82-95
    • Kim, H.1    Koehler, G.J.2
  • 62
    • 84991254436 scopus 로고
    • Bottom-up induction of oblivious, read-once decision graphs
    • Springer-Verlag
    • Kohavi, R, 1994a. "Bottom-up induction of oblivious, read-once decision graphs" Proc. European Conference on Machine Learning 154-169, Springer-Verlag.
    • (1994) Proc. European Conference on Machine Learning , pp. 154-169
    • Kohavi, R.1
  • 63
    • 0028565943 scopus 로고
    • Bottom-up induction of oblivious, read-once decision graphs: Strengths and limitations
    • AAAI Press
    • Kohavi, R, 1994b. "Bottom-up induction of oblivious, read-once decision graphs: strengths and limitations" Proc. Twelfth National Conference on Artificial Intelligence 613-618, AAAI Press.
    • (1994) Proc. Twelfth National Conference on Artificial Intelligence , pp. 613-618
    • Kohavi, R.1
  • 66
  • 68
    • 2342538250 scopus 로고
    • Oblivious decision trees and abstract cases
    • DW Aha (ed.), Technical Report WS-94-01, AAAI Press
    • Langley, P and Sage, S, 1994. "Oblivious decision trees and abstract cases" In: DW Aha (ed.), Case-Based Reasoning: Papers from the 1994 Workshop Technical Report WS-94-01, AAAI Press.
    • (1994) Case-Based Reasoning: Papers from the 1994 Workshop
    • Langley, P.1    Sage, S.2
  • 69
    • 0022597806 scopus 로고
    • Tree classifier design with a permutation statistic
    • Li, X and Dubes, RC, 1986. "Tree classifier design with a permutation statistic" Pattern Recognition 19 229-235.
    • (1986) Pattern Recognition , vol.19 , pp. 229-235
    • Li, X.1    Dubes, R.C.2
  • 70
    • 0042700783 scopus 로고
    • Increasing the performance and consistency of classification trees by using the accuracy criterion at the leaves
    • Morgan Kaufmann
    • Lubinsky, D, 1995. "Increasing the performance and consistency of classification trees by using the accuracy criterion at the leaves" Proc. Twelfth International Conference on Machine Learning 371-377, Morgan Kaufmann.
    • (1995) Proc. Twelfth International Conference on Machine Learning , pp. 371-377
    • Lubinsky, D.1
  • 73
    • 0003046840 scopus 로고
    • A theory and methodology of inductive learning
    • RS Michalski, JG Carbonell and TM Mitchell (eds.), Morgan Kaufmann
    • Michalski, RS, 1983. "A theory and methodology of inductive learning" In: RS Michalski, JG Carbonell and TM Mitchell (eds.), Machine learning: an artificial intelligence approach, Morgan Kaufmann.
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Michalski, R.S.1
  • 74
    • 8344219922 scopus 로고
    • Inducing knowledge from data: First principles
    • Unpublished manuscript for a talk given Austin, Texas
    • Michie, D, 1990. "Inducing knowledge from data: first principles". Unpublished manuscript for a talk given at the Seventh International Conference on Machine Learning, Austin, Texas.
    • (1990) Seventh International Conference on Machine Learning
    • Michie, D.1
  • 76
    • 79952785777 scopus 로고
    • An empirical comparison of pruning methods for decision tree induction
    • Mingers, J, 1989a. "An empirical comparison of pruning methods for decision tree induction" Machine Learning 4 227-243.
    • (1989) Machine Learning , vol.4 , pp. 227-243
    • Mingers, J.1
  • 77
    • 34249966833 scopus 로고
    • An empirical comparison of selection measures for decision-tree induction
    • Mingers, J, 1989b. "An empirical comparison of selection measures for decision-tree induction" Machine Learning 3 319-342.
    • (1989) Machine Learning , vol.3 , pp. 319-342
    • Mingers, J.1
  • 82
    • 0027652495 scopus 로고
    • Exploring the decision forest: An empirical investigation of Occam's razor in decision tree induction
    • Murphy, PM and Pazzani, MJ, 1994. "Exploring the decision forest: an empirical investigation of Occam's razor in decision tree induction" Journal of Artificial Intelligence Research 1 257-275.
    • (1994) Journal of Artificial Intelligence Research , vol.1 , pp. 257-275
    • Murphy, P.M.1    Pazzani, M.J.2
  • 86
    • 0027641975 scopus 로고
    • A balanced hierarchical data structure for multidimensional data with highly efficient dynamic characteristics
    • Nakamura, Y, Abe, S, Ohsawa, Y and Sakauchi, M, 1993. "A balanced hierarchical data structure for multidimensional data with highly efficient dynamic characteristics" IEEE Transactions on Knowledge and Data Engineering 5 (4) 682-694.
    • (1993) IEEE Transactions on Knowledge and Data Engineering , vol.5 , Issue.4 , pp. 682-694
    • Nakamura, Y.1    Abe, S.2    Ohsawa, Y.3    Sakauchi, M.4
  • 87
    • 0005801045 scopus 로고
    • Learning decision rules in noisy domains
    • Cambridge University Press
    • Niblett, T and Bratko, I, 1986. "Learning decision rules in noisy domains" Proc. Expert Systems 1986 25-34, Cambridge University Press.
    • (1986) Proc. Expert Systems 1986 , pp. 25-34
    • Niblett, T.1    Bratko, I.2
  • 90
    • 85057216142 scopus 로고
    • Learning complex boolean functions: Algorithms and applications
    • SJ Hanson et al. (eds.), Morgan Kaufmann
    • Oliveira, AL and Vincentelli, AS, 1993. "Learning complex boolean functions: algorithms and applications" In: SJ Hanson et al. (eds.), Advances in Neural Information Processing Systems 5, Morgan Kaufmann.
    • (1993) Advances in Neural Information Processing Systems , vol.5
    • Oliveira, A.L.1    Vincentelli, A.S.2
  • 94
    • 0042490185 scopus 로고
    • Doctoral dissertation, Department of Computer Science, University of California at Santa Cruz, CA.
    • Pagallo, G, 1990. Adaptive decision tree algorithms for learning from examples. Doctoral dissertation, Department of Computer Science, University of California at Santa Cruz, CA.
    • (1990) Adaptive Decision Tree Algorithms for Learning from Examples
    • Pagallo, G.1
  • 95
    • 0025389210 scopus 로고
    • Boolean feature discovery in empirical learning
    • Pagallo, G and Haussler, D, 1990. "Boolean feature discovery in empirical learning" Machine Learning 571-100.
    • (1990) Machine Learning , pp. 571-1100
    • Pagallo, G.1    Haussler, D.2
  • 98
    • 0024092215 scopus 로고
    • Computational limitations on learning from examples
    • Pitt, L and Valiant, LG, 1988. "Computational limitations on learning from examples" Journal of the ACM 35 965-984.
    • (1988) Journal of the ACM , vol.35 , pp. 965-984
    • Pitt, L.1    Valiant, L.G.2
  • 99
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, JR, 1986. "Induction of decision trees" Machine Learning 1 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 102
    • 0025888803 scopus 로고
    • Improved estimates for the accuracy of small disjuncts
    • Quinlan, JR, 1991. "Improved estimates for the accuracy of small disjuncts" Machine Learning 6 (1) 93-98.
    • (1991) Machine Learning , vol.6 , Issue.1 , pp. 93-98
    • Quinlan, J.R.1
  • 107
    • 0024627518 scopus 로고
    • Inferring decision trees using the minimum description length principle
    • Quinlan, JR and Rivest, RL, 1989. "Inferring decision trees using the minimum description length principle" Information and Computation 80 227-248.
    • (1989) Information and Computation , vol.80 , pp. 227-248
    • Quinlan, J.R.1    Rivest, R.L.2
  • 110
    • 0344953838 scopus 로고
    • Substantial constructive induction using layered information compression: Tractable feature formation in search
    • Morgan Kaufmann
    • Rendell, L, 1985. "Substantial constructive induction using layered information compression: tractable feature formation in search" Proc. Ninth International Joint Conference on Artificial Intelligence 650-658, Morgan Kaufmann.
    • (1985) Proc. Ninth International Joint Conference on Artificial Intelligence , pp. 650-658
    • Rendell, L.1
  • 111
    • 0002875106 scopus 로고
    • Improving the design of induction methods by analyzing algorithm functionality and data-based concept complexity
    • Morgan Kaufmann
    • Rendell, L and Ragavan, H, 1993. "Improving the design of induction methods by analyzing algorithm functionality and data-based concept complexity" Proc. Thirteenth International Joint Conference on Artificial Intelligence 952-958, Morgan Kaufmann.
    • (1993) Proc. Thirteenth International Joint Conference on Artificial Intelligence , pp. 952-958
    • Rendell, L.1    Ragavan, H.2
  • 112
    • 0001098776 scopus 로고
    • A universal prior for integers and estimation by minimum description length
    • Rissanen, J, 1983. "A universal prior for integers and estimation by minimum description length" Annals of Statistics 11 416-431.
    • (1983) Annals of Statistics , vol.11 , pp. 416-431
    • Rissanen, J.1
  • 113
    • 0019181932 scopus 로고
    • A combined non-parametric approach to feature selection and binary decision tree design
    • Rounds (1980). "A combined non-parametric approach to feature selection and binary decision tree design" Pattern Recognition 12 313-317.
    • (1980) Pattern Recognition , vol.12 , pp. 313-317
    • Rounds1
  • 115
    • 0026971898 scopus 로고
    • Sparse data and the effect of overfitting avoidance in decision tree induction
    • AAAI Press
    • Schaffer, C, 1992b. "Sparse data and the effect of overfitting avoidance in decision tree induction" Proc. Tenth National Conference on Artificial Intelligence 147-152, AAAI Press.
    • (1992) Proc. Tenth National Conference on Artificial Intelligence , pp. 147-152
    • Schaffer, C.1
  • 116
    • 0001259758 scopus 로고
    • Overfitting avoidance as bias
    • Schaffer, C, 1993. "Overfitting avoidance as bias" Machine Learning 10 113-152.
    • (1993) Machine Learning , vol.10 , pp. 113-152
    • Schaffer, C.1
  • 121
    • 85033312415 scopus 로고
    • Technical Report 463. Edinburgh, Scotland: University of Edinburgh, Department of Artificial Intelligence
    • Thornton, CJ, 1990. The complexity of constructive induction, Technical Report 463. Edinburgh, Scotland: University of Edinburgh, Department of Artificial Intelligence.
    • (1990) The Complexity of Constructive Induction
    • Thornton, C.J.1
  • 126
    • 84945766475 scopus 로고
    • Perceptron trees: A case study in hybrid concept representations
    • Utgoff, PE, 1989b. "Perceptron trees: a case study in hybrid concept representations" Connection Science 1 377-391.
    • (1989) Connection Science , vol.1 , pp. 377-391
    • Utgoff, P.E.1
  • 127
  • 129
    • 0003831906 scopus 로고
    • Technical Report 10. Amherst, MA: University of Massachusetts, Department of Computer Science
    • Utgoff, PE and Brodley, CE, 1991. Linear machine decision trees, Technical Report 10. Amherst, MA: University of Massachusetts, Department of Computer Science.
    • (1991) Linear Machine Decision Trees
    • Utgoff, P.E.1    Brodley, C.E.2
  • 130
  • 133
    • 0029679031 scopus 로고    scopus 로고
    • Further experimental evidence against the utility of Occam's razor
    • Webb, GI, 1996. "Further experimental evidence against the utility of Occam's razor" JAIR 4 397-417.
    • (1996) JAIR , vol.4 , pp. 397-417
    • Webb, G.I.1
  • 137
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbour rules using edited data
    • Wilson, D, 1972. "Asymptotic properties of nearest neighbour rules using edited data" IEEE Transactions on Systems, Man and Cybernetics 2 408-421.
    • (1972) IEEE Transactions on Systems, Man and Cybernetics , vol.2 , pp. 408-421
    • Wilson, D.1


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