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Volumn 20, Issue 3, 2008, Pages 423-437

Tabu search-enhanced graphical models for classification in high dimensions

Author keywords

Bayesian networks; Health care decision support; Machine learning; Markov blanket; Online marketing; Tabu search; Text analysis

Indexed keywords


EID: 61349199460     PISSN: 10919856     EISSN: 15265528     Source Type: Journal    
DOI: 10.1287/ijoc.1070.0255     Document Type: Article
Times cited : (18)

References (45)
  • 2
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Adomavicius, G., A. Tuzhilin. 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowledge Data Engrg. 17 734-749.
    • (2005) IEEE Trans. Knowledge Data Engrg , vol.17 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 3
    • 33845189120 scopus 로고    scopus 로고
    • Markov blankets and metaheuristic search: Sentiment extraction from unstructured texts
    • Springer-Verlag, Berlin
    • Airoldi, E. M., X. Bai, R. Padman. 2006. Markov blankets and metaheuristic search: Sentiment extraction from unstructured texts. Lecture Notes in Computer Science, Vol. 3932. Springer-Verlag, Berlin, 167-187.
    • (2006) Lecture Notes in Computer Science , vol.3932 , pp. 167-187
    • Airoldi, E.M.1    Bai, X.2    Padman, R.3
  • 4
    • 70449762084 scopus 로고    scopus 로고
    • Algorithms for large-scale local causal discovery in the presence of small sample or large causal neighborhoods
    • Technical Report DSL-02-08, Vanderbilt University, Nashville, TN
    • Aliferis, C., I. Tsamardinos, A. Statnikov. 2003a. Algorithms for large-scale local causal discovery in the presence of small sample or large causal neighborhoods. Technical Report DSL-02-08, Vanderbilt University, Nashville, TN.
    • (2003)
    • Aliferis, C.1    Tsamardinos, I.2    Statnikov, A.3
  • 5
    • 14344265835 scopus 로고    scopus 로고
    • Aliferis, C., I. Tsamardinos, A. Statnikov. 2003b. HITON, a novel Markov blanket algorithm for optimal variable selection. M. Musen, ed. Proc. Amer. Medical Informatics Assoc. Annual Sympos., AMIA, Washington D.C., 21-25.
    • Aliferis, C., I. Tsamardinos, A. Statnikov. 2003b. HITON, a novel Markov blanket algorithm for optimal variable selection. M. Musen, ed. Proc. Amer. Medical Informatics Assoc. Annual Sympos., AMIA, Washington D.C., 21-25.
  • 6
    • 61349102518 scopus 로고    scopus 로고
    • Internet enabled arbitrage: Evidence from the international online textbook market
    • CIST, Atlanta
    • Bai, X. 2003. Internet enabled arbitrage: Evidence from the international online textbook market. Proc. 8th INFORMS Conf. Inform. Systems Tech., CIST, Atlanta, 23-32.
    • (2003) Proc. 8th INFORMS Conf. Inform. Systems Tech , pp. 23-32
    • Bai, X.1
  • 7
    • 61349173200 scopus 로고    scopus 로고
    • Bai, X. 2005. Tabu search enhanced graphical models for classification of high dimensional data. Technical Report CMU- CALD-05-101, School of Computer Science, Carnegie Mellon University, Pittsburgh.
    • Bai, X. 2005. Tabu search enhanced graphical models for classification of high dimensional data. Technical Report CMU- CALD-05-101, School of Computer Science, Carnegie Mellon University, Pittsburgh.
  • 8
    • 84887869889 scopus 로고    scopus 로고
    • Tabu search enhanced Markov blanket classifier for high dimensional data sets
    • B. Golden, S. Raghavan, E. Wasil, eds, Kluwer Academic Publishers, Norwell, MA
    • Bai, X., R. Padman. 2005. Tabu search enhanced Markov blanket classifier for high dimensional data sets. B. Golden, S. Raghavan, E. Wasil, eds. The Next Wave in Computing, Optimization, and Decision Technologies. Kluwer Academic Publishers, Norwell, MA, 338-354.
    • (2005) The Next Wave in Computing, Optimization, and Decision Technologies , pp. 338-354
    • Bai, X.1    Padman, R.2
  • 9
    • 27544504969 scopus 로고    scopus 로고
    • Bai, X., R. Padman, E. M. Airoldi. 2005. On learning parsimonious models for extracting consumer opinions. Proc. 38th Hawaii Internat. Conf. System Sci., IEEE Computer Society, Washington, D.C., 75b.
    • Bai, X., R. Padman, E. M. Airoldi. 2005. On learning parsimonious models for extracting consumer opinions. Proc. 38th Hawaii Internat. Conf. System Sci., IEEE Computer Society, Washington, D.C., 75b.
  • 10
    • 57749192210 scopus 로고    scopus 로고
    • Pcx: Markov blanket classification for large data sets with few cases
    • Technical Report CMU-CALD-04-103, School of Computer Science, Carnegie Mellon University, Pittsburgh
    • Bai, X., C, Glymour, J. Ramsey, R Spirtes, F, Wimberly, R. Padman. 2004. Pcx: Markov blanket classification for large data sets with few cases. Technical Report CMU-CALD-04-103, School of Computer Science, Carnegie Mellon University, Pittsburgh.
    • (2004)
    • Bai, X.C.1    Glymour2    Ramsey, J.3    Spirtes, R.4    Wimberly, F.5    Padman, R.6
  • 13
    • 0033737577 scopus 로고    scopus 로고
    • Frictionless commerce? A comparison of Internet and conventional retailers
    • Brynjolfsson, E., M. D. Smith. 2000. Frictionless commerce? A comparison of Internet and conventional retailers. Management Sci. 46 563-585.
    • (2000) Management Sci , vol.46 , pp. 563-585
    • Brynjolfsson, E.1    Smith, M.D.2
  • 14
    • 14644398507 scopus 로고    scopus 로고
    • Context-independent scatter and Tabu search for permutation problems
    • Campos, V., M. Laguna, R. Marti. 2005. Context-independent scatter and Tabu search for permutation problems. INFORMS J. Comput. 17(1) 111-122.
    • (2005) INFORMS J. Comput , vol.17 , Issue.1 , pp. 111-122
    • Campos, V.1    Laguna, M.2    Marti, R.3
  • 15
    • 84937275232 scopus 로고    scopus 로고
    • Assessing agreement on classification tasks: The kappa statistic
    • Carletta, J. 1996. Assessing agreement on classification tasks: The kappa statistic. Computational Linguistics 22 249-254.
    • (1996) Computational Linguistics , vol.22 , pp. 249-254
    • Carletta, J.1
  • 18
    • 0042496103 scopus 로고    scopus 로고
    • Learning equivalence classes of Bayesian-network structures
    • Chickering, D. M. 2002. Learning equivalence classes of Bayesian-network structures. J. Machine Learn. Res. 3 507-554.
    • (2002) J. Machine Learn. Res , vol.3 , pp. 507-554
    • Chickering, D.M.1
  • 21
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • Freund, Y., R. E. Schapire. 1999. Large margin classification using the perceptron algorithm. Machine Learn. 37 277-296.
    • (1999) Machine Learn , vol.37 , pp. 277-296
    • Freund, Y.1    Schapire, R.E.2
  • 23
    • 0242453778 scopus 로고    scopus 로고
    • A genetics algorithm-based approach for building accurate decision trees
    • Fu, Z., B. L. Golden, S. Lele, S. Raghavan, E. A. Wasil. 2003. A genetics algorithm-based approach for building accurate decision trees. INFORMS J. Comput. 15(1) 3-22.
    • (2003) INFORMS J. Comput , vol.15 , Issue.1 , pp. 3-22
    • Fu, Z.1    Golden, B.L.2    Lele, S.3    Raghavan, S.4    Wasil, E.A.5
  • 24
    • 0000411214 scopus 로고
    • Tabu search-Part I
    • Glover, F. 1989. Tabu search-Part I. ORSA J. Comput. 1(3) 190-206.
    • (1989) ORSA J. Comput , vol.1 , Issue.3 , pp. 190-206
    • Glover, F.1
  • 25
    • 0004215426 scopus 로고    scopus 로고
    • Kluwer Academic Publishers, Norwell, MA
    • Glover, F., M. Laguna. 1997. Tabu Search. Kluwer Academic Publishers, Norwell, MA.
    • (1997) Tabu Search
    • Glover, F.1    Laguna, M.2
  • 26
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • Hanley, J. A., B. J. McNeil. 1983. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148 839-843.
    • (1983) Radiology , vol.148 , pp. 839-843
    • Hanley, J.A.1    McNeil, B.J.2
  • 28
    • 0034785267 scopus 로고    scopus 로고
    • A statistical learning model of text classification with support vector machines
    • ACM, New York
    • Joachims, T. 2001. A statistical learning model of text classification with support vector machines. Proc. Conf. Res. Development Inform. Retrieval, ACM, New York, 128-136.
    • (2001) Proc. Conf. Res. Development Inform. Retrieval , pp. 128-136
    • Joachims, T.1
  • 30
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Morgan Kaufmann, San Francisco
    • Lafferty, J., A. McCallum, F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. Proc. Eighteenth Internat. Conf. Machine Learn., Morgan Kaufmann, San Francisco, 282-289.
    • (2001) Proc. Eighteenth Internat. Conf. Machine Learn , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 31
    • 4544373383 scopus 로고    scopus 로고
    • Evaluation of the performance of the Markov blanket Bayesian classifier algorithm
    • Technical Report NUIG- IT-011002, Department of Information Technology, National University of Ireland, Galway, Ireland
    • Madden, M. G. 2002. Evaluation of the performance of the Markov blanket Bayesian classifier algorithm. Technical Report NUIG- IT-011002, Department of Information Technology, National University of Ireland, Galway, Ireland.
    • (2002)
    • Madden, M.G.1
  • 33
    • 61349197614 scopus 로고    scopus 로고
    • Working paper, Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh
    • Montgomery, A., S. Kannan. 2002. Learning about customers without asking. Working paper, Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh.
    • (2002) Learning about customers without asking
    • Montgomery, A.1    Kannan, S.2
  • 35
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • Nigam, K., A. McCallum, S. Thrun, T. Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learn. 39 103-134.
    • (2000) Machine Learn , vol.39 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 37
    • 0242624459 scopus 로고    scopus 로고
    • On the use of optimization for data mining: Theoretical interactions and eCRM opportunities
    • Padmanabhan, B., A. Tuzhilin. 2003. On the use of optimization for data mining: Theoretical interactions and eCRM opportunities. Management Sci. 49(10) 1327-1343.
    • (2003) Management Sci , vol.49 , Issue.10 , pp. 1327-1343
    • Padmanabhan, B.1    Tuzhilin, A.2
  • 38
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • Association for Computational Linguistics, Philadelphia
    • Pang, B., L. Lee, S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. Proc. 2002 Conf. Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Philadelphia, 79-86.
    • (2002) Proc. 2002 Conf. Empirical Methods in Natural Language Processing , pp. 79-86
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 40
    • 61349163091 scopus 로고    scopus 로고
    • Quinlan, J. R. 1990. Induction of decision trees. J. W. Shavlik, T. G. Dietterich, eds. Readings in Machine Learning. Morgan Kaufmann, San Francisco, 57-69. [Originally published in Machine Learn. 1 81-106, 1986.]
    • Quinlan, J. R. 1990. Induction of decision trees. J. W. Shavlik, T. G. Dietterich, eds. Readings in Machine Learning. Morgan Kaufmann, San Francisco, 57-69. [Originally published in Machine Learn. 1 81-106, 1986.]
  • 41
    • 61349164330 scopus 로고    scopus 로고
    • A PC-style Markov blanket search for high dimensional data sets
    • Technical Report CMU-PHIL-177, Department of Philosophy, Carnegie Mellon University, Pittsburgh
    • Ramsey, J. D. 2006. A PC-style Markov blanket search for high dimensional data sets. Technical Report CMU-PHIL-177, Department of Philosophy, Carnegie Mellon University, Pittsburgh.
    • (2006)
    • Ramsey, J.D.1
  • 43
    • 0035604646 scopus 로고    scopus 로고
    • Customer decision making at an Internet shopbot: Brand still matters
    • Smith, M. D., E. Brynjolfsson. 2001. Customer decision making at an Internet shopbot: Brand still matters. J. Indust. Econom. 49 541-558.
    • (2001) J. Indust. Econom , vol.49 , pp. 541-558
    • Smith, M.D.1    Brynjolfsson, E.2
  • 45
    • 3843131812 scopus 로고    scopus 로고
    • The granular Tabu search and its application to the vehicle routing problem
    • Toth, P., D. Vigo. 2003. The granular Tabu search and its application to the vehicle routing problem. INFORMS J. Comput. 15(4) 334-346.
    • (2003) INFORMS J. Comput , vol.15 , Issue.4 , pp. 334-346
    • Toth, P.1    Vigo, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.