메뉴 건너뛰기




Volumn 9, Issue 4, 2014, Pages 62-74

Big data opportunities and challenges: Discussions from data analytics perspectives [Discussion Forum]

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYTICS; DISCUSSION FORUM;

EID: 84908019121     PISSN: 1556603X     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCI.2014.2350953     Document Type: Review
Times cited : (237)

References (63)
  • 5
    • 79951564654 scopus 로고    scopus 로고
    • HypE: An algorithm for fast hypervolume-based manyobjective optimization
    • J. Bader and E. Zitzler, "HypE: An algorithm for fast hypervolume-based manyobjective optimization," Evol. Comput., vol. 19, no. 1, pp. 45-76, 2011.
    • (2011) Evol. Comput. , vol.19 , Issue.1 , pp. 45-76
    • Bader, J.1    Zitzler, E.2
  • 10
    • 69349090197 scopus 로고    scopus 로고
    • Learning deep architectures for AI
    • Y. Bengio, "Learning deep architectures for AI," Foundations Trends Mach. Learn., vol. 2, no. 1, pp. 1-127, 2009.
    • (2009) Foundations Trends Mach. Learn. , vol.2 , Issue.1 , pp. 1-127
    • Bengio, Y.1
  • 12
    • 84880526896 scopus 로고    scopus 로고
    • Evolutionary complex engineering optimization: Opportunities and challenges
    • T. Chai, Y. Jin, and S. Bernhard, "Evolutionary complex engineering optimization: Opportunities and challenges," IEEE Comput. Intell. Mag., vol. 8, no. 3, pp. 12-15, 2013.
    • (2013) IEEE Comput. Intell. Mag. , vol.8 , Issue.3 , pp. 12-15
    • Chai, T.1    Jin, Y.2    Bernhard, S.3
  • 13
    • 37949004300 scopus 로고    scopus 로고
    • Data mining for imbalanced datasets: An overview
    • O. Maimon and L. Rokach, Eds. New York: Springer
    • N. V. Chawla, "Data mining for imbalanced datasets: An overview," in Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach, Eds. New York: Springer, 2005, pp. 853-867.
    • (2005) Data Mining and Knowledge Discovery Handbook , pp. 853-867
    • Chawla, N.V.1
  • 15
    • 84908179571 scopus 로고    scopus 로고
    • Learning with augmented class by exploiting unlabeled data
    • Quebec City, QC, Canada
    • Q. Da, Y. Yu, and Z.-H. Zhou, "Learning with augmented class by exploiting unlabeled data," in Proc. 28th AAAI Conf. Artificial Intelligence, Quebec City, QC, Canada, 2014.
    • (2014) Proc. 28th AAAI Conf. Artificial Intelligence
    • Da, Q.1    Yu, Y.2    Zhou, Z.-H.3
  • 16
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGAII
    • K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGAII," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182-197, 2002.
    • (2002) IEEE Trans. Evol. Comput. , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 17
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • T. G. Dietterich, "Approximate statistical tests for comparing supervised classification learning algorithms," Neural Comput., vol. 10, no. 7, pp. 1895-1923, 1998.
    • (1998) Neural Comput. , vol.10 , Issue.7 , pp. 1895-1923
    • Dietterich, T.G.1
  • 19
    • 49649098733 scopus 로고    scopus 로고
    • Impact of imputation of missing values on classification error for discrete data
    • A. Farhangfar, L. Kurgan, and J. Dy, "Impact of imputation of missing values on classification error for discrete data," Pattern Recognit., vol. 41, no. 12, pp. 3692-3705, 2008.
    • (2008) Pattern Recognit. , vol.41 , Issue.12 , pp. 3692-3705
    • Farhangfar, A.1    Kurgan, L.2    Dy, J.3
  • 20
    • 84866870464 scopus 로고    scopus 로고
    • An evolutionary search paradigm that learns with past experiences
    • Brisbane QLD, Australia
    • L. Feng, Y.-S. Ong, I. Tsang, and A.-H. Tan, "An evolutionary search paradigm that learns with past experiences," in Proc. IEEE Congr. Evolutionary Computation, Brisbane QLD, Australia, 2012, pp. 1-8.
    • (2012) Proc. IEEE Congr. Evolutionary Computation , pp. 1-8
    • Feng, L.1    Ong, Y.-S.2    Tsang, I.3    Tan, A.-H.4
  • 24
    • 0020524559 scopus 로고
    • A method of comparing the areas under receiver operating characteristic curves derived from the same cases
    • J. A. Hanley and B. J. McNeil, "A method of comparing the areas under receiver operating characteristic curves derived from the same cases," Radiology, vol. 148, no. 3, pp. 839-843, 1983.
    • (1983) Radiology , vol.148 , Issue.3 , pp. 839-843
    • Hanley, J.A.1    McNeil, B.J.2
  • 25
    • 0029652445 scopus 로고
    • The "wake-sleep" algorithm for unsupervised neural networks
    • G. E. Hinton, P. Dayan, B. J. Frey, and R. M. Neal, "The "wake-sleep" algorithm for unsupervised neural networks," Science, vol. 268, no. 5214, pp. 1158-1161, 1995.
    • (1995) Science , vol.268 , Issue.5214 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 26
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, vol. 313, no. 5786, pp. 504-507, 2006.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 27
    • 84881581786 scopus 로고    scopus 로고
    • Many-objective and many-variable test problems for visual examination of multiobjective search
    • Cancun, QROO
    • H. Ishibuchi, M. Yamane, N. Akedo, and Y. Nojima, "Many-objective and many-variable test problems for visual examination of multiobjective search," in Proc. IEEE Congr. Evolutionary Computation, Cancun, QROO, 2013, pp. 1491-1498.
    • (2013) Proc. IEEE Congr. Evolutionary Computation , pp. 1491-1498
    • Ishibuchi, H.1    Yamane, M.2    Akedo, N.3    Nojima, Y.4
  • 29
    • 21044438483 scopus 로고    scopus 로고
    • Evolutionary optimization in uncertain environments-A survey
    • Y. Jin and J. Branke, "Evolutionary optimization in uncertain environments-A survey," IEEE Trans. Evol. Comput., vol. 9, no. 3, pp. 303-317, 2005.
    • (2005) IEEE Trans. Evol. Comput. , vol.9 , Issue.3 , pp. 303-317
    • Jin, Y.1    Branke, J.2
  • 30
    • 84874189048 scopus 로고    scopus 로고
    • A framework for finding robust optimal solutions over time
    • Y. Jin, K. Tang, X. Yu, B. Sendhoff, and X. Yao, "A framework for finding robust optimal solutions over time," Memetic Comput., vol. 5, no. 1, pp. 3-18, 2013.
    • (2013) Memetic Comput. , vol.5 , Issue.1 , pp. 3-18
    • Jin, Y.1    Tang, K.2    Yu, X.3    Sendhoff, B.4    Yao, X.5
  • 31
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM training practical
    • B. SchÖlkopf, C. J. C. Burges, and A. J. Smola, Eds. Cambridge, MA: MIT Press
    • T. Joachims, "Making large-scale SVM training practical," in Advances in Kernel Methods, B. SchÖlkopf, C. J. C. Burges, and A. J. Smola, Eds. Cambridge, MA: MIT Press, 1999, pp. 169-184.
    • (1999) Advances in Kernel Methods , pp. 169-184
    • Joachims, T.1
  • 32
    • 0002263996 scopus 로고
    • Convolutional networks for images, speech, and time series
    • M. A. Arbib, Ed. Cambridge, MA: MIT Press
    • Y. LeCun and Y. Bengio, "Convolutional networks for images, speech, and time series," in The Handbook of Brain Theory and Neural Networks, M. A. Arbib, Ed. Cambridge, MA: MIT Press, 1995.
    • (1995) The Handbook of Brain Theory and Neural Networks
    • Lecun, Y.1    Bengio, Y.2
  • 34
    • 76149138033 scopus 로고    scopus 로고
    • Exploiting remote learners in internet environment with agents
    • M. Li, W. Wang, and Z.-H. Zhou, "Exploiting remote learners in internet environment with agents," Sci. China: Inform. Sci., vol. 53, no. 1, pp. 47-76, 2010.
    • (2010) Sci. China: Inform. Sci. , vol.53 , Issue.1 , pp. 47-76
    • Li, M.1    Wang, W.2    Zhou, Z.-H.3
  • 35
    • 84885010138 scopus 로고    scopus 로고
    • Efficient optimization of performance measures by classifier adaptation
    • N. Li, I. W. Tsang, and Z.-H. Zhou, "Efficient optimization of performance measures by classifier adaptation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 6, pp. 1370-1382, 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.6 , pp. 1370-1382
    • Li, N.1    Tsang, I.W.2    Zhou, Z.-H.3
  • 38
    • 77949498582 scopus 로고    scopus 로고
    • Stability bounds for stationary {-mixing and b-mixing processes
    • M. Mohri and A. Rostamizadeh, "Stability bounds for stationary {-mixing and b-mixing processes," J. Mach. Learn. Res., vol. 11, pp. 789-814, 2010.
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 789-814
    • Mohri, M.1    Rostamizadeh, A.2
  • 41
    • 0038718854 scopus 로고    scopus 로고
    • The structure and function of complex networks
    • M. E. Newman, "The structure and function of complex networks," SIAM Rev., vol. 45, no. 2, pp. 167-256, 2003.
    • (2003) SIAM Rev. , vol.45 , Issue.2 , pp. 167-256
    • Newman, M.E.1
  • 42
    • 84864614709 scopus 로고    scopus 로고
    • Evolutionary dynamic optimization: A survey of the state of the art
    • Oct.
    • T. T. Nguyen, S. Yang, and J. Branke, "Evolutionary dynamic optimization: A survey of the state of the art," Swarm Evol. Comput., vol. 6, pp. 1-24, Oct. 2012.
    • (2012) Swarm Evol. Comput. , vol.6 , pp. 1-24
    • Nguyen, T.T.1    Yang, S.2    Branke, J.3
  • 43
    • 24344497209 scopus 로고    scopus 로고
    • Distributed data mining: Algorithms, systems, and applications
    • N. Ye, Ed. Mahwah, New Jersey, US: Lawrence Erlbaum Associates
    • B.-H. Park and H. Kargupta, "Distributed data mining: Algorithms, systems, and applications," in The Handbook of Data Mining, N. Ye, Ed. Mahwah, New Jersey, US: Lawrence Erlbaum Associates, 2002, pp. 341-358.
    • (2002) The Handbook of Data Mining , pp. 341-358
    • Park, B.-H.1    Kargupta, H.2
  • 47
    • 68949137209 scopus 로고    scopus 로고
    • Univ. Wisconsin at Madison. Wisconsin, WI. Tech. Rep.
    • B. Settles. (2009). Active learning literature survey. Dept. Comput. Sci., Univ. Wisconsin at Madison. Wisconsin, WI. Tech. Rep. 1648. [Online]. Available: http:// pages. cs. wisc. edu/~bsettles/pub/settles. activelearning. pdf
    • (2009) Active Learning Literature Survey. Dept. Comput. Sci.
    • Settles, B.1
  • 49
    • 84908042095 scopus 로고    scopus 로고
    • Recent advances in knowledge discovery and data mining (invited talk)
    • Providence, RI
    • P. Smyth, "Recent advances in knowledge discovery and data mining (invited talk)," in Proc. 14th Nat. Conf. Artificial Intelligence, Providence, RI, 1997.
    • (1997) Proc. 14th Nat. Conf. Artificial Intelligence
    • Smyth, P.1
  • 51
    • 84894345697 scopus 로고    scopus 로고
    • Reconstructing biological gene regulatory networks: Where optimization meets big data
    • S. A. Thomas and Y. Jin, "Reconstructing biological gene regulatory networks: Where optimization meets big data," Evol. Intell., vol. 7, no. 1, pp. 29-47, 2013.
    • (2013) Evol. Intell. , vol.7 , Issue.1 , pp. 29-47
    • Thomas, S.A.1    Jin, Y.2
  • 53
    • 84875715771 scopus 로고    scopus 로고
    • Visualising mutually non-dominating solution sets in manyobjective optimisation
    • D. Walker, R. Everson, and J. E. Fieldsend, "Visualising mutually non-dominating solution sets in manyobjective optimisation," IEEE Trans. Evol. Comput., vol. 17, no. 2, pp. 165-184, 2013.
    • (2013) IEEE Trans. Evol. Comput. , vol.17 , Issue.2 , pp. 165-184
    • Walker, D.1    Everson, R.2    Fieldsend, J.E.3
  • 55
    • 10944270926 scopus 로고
    • Combining decision trees: Initial results from the MIL algorithm
    • J. S. Gero and R. B. Stanton, Eds. North Holland, The Netherlands: Elsevier Science Publishers
    • G. J. Williams, "Combining decision trees: Initial results from the MIL algorithm," in Artificial Intelligence Developments and Applications, J. S. Gero and R. B. Stanton, Eds. North Holland, The Netherlands: Elsevier Science Publishers, 1988, pp. 273-289.
    • (1988) Artificial Intelligence Developments and Applications , pp. 273-289
    • Williams, G.J.1
  • 56
    • 38849185205 scopus 로고    scopus 로고
    • A case study in knowledge acquisition for insurance risk assessment using a KDD methodology
    • P. Compton, R. Mizoguchi, H. Motoda, and T. Menzies, Eds., Sydney, Australia
    • G. J. Williams and Z. Huang, "A case study in knowledge acquisition for insurance risk assessment using a KDD methodology," in Proc. Pacific Rim Knowledge Acquisition Workshop, P. Compton, R. Mizoguchi, H. Motoda, and T. Menzies, Eds., Sydney, Australia, 1996, pp. 117-129.
    • (1996) Proc. Pacific Rim Knowledge Acquisition Workshop , pp. 117-129
    • Williams, G.J.1    Huang, Z.2
  • 57
    • 84961297619 scopus 로고    scopus 로고
    • Mining the knowledge mine: The hot spots methodology for mining large, real world databases
    • A. Sattar, Ed. New York: Springer-Verlag
    • G. J. Williams and Z. Huang, "Mining the knowledge mine: The hot spots methodology for mining large, real world databases," in Advanced Topics in Artificial Intelligence, A. Sattar, Ed. New York: Springer-Verlag, 1997, pp. 340-348.
    • (1997) Advanced Topics in Artificial Intelligence , pp. 340-348
    • Williams, G.J.1    Huang, Z.2
  • 58
    • 46649091716 scopus 로고    scopus 로고
    • Mining with noise knowledge: Error-aware data mining
    • X. Wu and X. Zhu, "Mining with noise knowledge: Error-aware data mining," IEEE Trans. Syst., Man Cybern. A, vol. 38, no. 4, pp. 917-932, 2008.
    • (2008) IEEE Trans. Syst., Man Cybern. A , vol.38 , Issue.4 , pp. 917-932
    • Wu, X.1    Zhu, X.2
  • 59
    • 84894379474 scopus 로고    scopus 로고
    • A parallel algorithm of constructing gene regulatory networks
    • D.-Z. Du and X.-S. Zhang, Eds., Zhangjiajie, China
    • M. Xiao, L. Zhang, B. He, J. Xie, and W. Zhang, "A parallel algorithm of constructing gene regulatory networks," in Proc. 3rd Int. Symp. Optimization Systems Biology, D.-Z. Du and X.-S. Zhang, Eds., Zhangjiajie, China, 2009, pp. 184-188.
    • (2009) Proc. 3rd Int. Symp. Optimization Systems Biology , pp. 184-188
    • Xiao, M.1    Zhang, L.2    He, B.3    Xie, J.4    Zhang, W.5
  • 61
    • 84877729010 scopus 로고    scopus 로고
    • Learning from the wisdom of crowds by minimax entropy
    • P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Cambridge, MA: MIT Press
    • D. Zhou, J. C. Platt, S. Basu, and Y. Mao, "Learning from the wisdom of crowds by minimax entropy," in Advances in Neural Information Processing Systems 25, P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Cambridge, MA: MIT Press, 2012.
    • (2012) Advances in Neural Information Processing Systems , vol.25
    • Zhou, D.1    Platt, J.C.2    Basu, S.3    Mao, Y.4
  • 62
    • 1642327509 scopus 로고    scopus 로고
    • Rule extraction: Using neural networks or for neural networks?
    • Z.-H. Zhou, "Rule extraction: Using neural networks or for neural networks?" J. Comput. Sci. Technol., vol. 19, no. 2, pp. 249-253, 2004.
    • (2004) J. Comput. Sci. Technol. , vol.19 , Issue.2 , pp. 249-253
    • Zhou, Z.-H.1
  • 63
    • 33745456231 scopus 로고    scopus 로고
    • Univ. Wisconsin at Madison. Madison, WI, Tech. Rep.
    • X. Zhu, (2006). Semi-supervised learning literature survey. Dept. Comput. Sci., Univ. Wisconsin at Madison. Madison, WI, Tech. Rep. 1530. [Online]. Available: http://www. cs. wisc. edu/~jerryzhu/pub/ssl-survey. pdf
    • (2006) Semi-supervised Learning Literature Survey. Dept. Comput. Sci.
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.