메뉴 건너뛰기




Volumn 43, Issue , 2017, Pages 187-194

Big data analytics based fault prediction for shop floor scheduling

Author keywords

Big data analytics; Fault prediction; Scheduling; Shop floor

Indexed keywords

DATA INTEGRATION; DECISION MAKING; ERRORS; FLOORS; FORECASTING; MACHINING; SCHEDULING;

EID: 85017029120     PISSN: 02786125     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmsy.2017.03.008     Document Type: Article
Times cited : (132)

References (62)
  • 1
    • 0000237789 scopus 로고
    • On the job-Shop scheduling problem
    • [1] Manne, A.S., On the job-Shop scheduling problem. Oper Res 8:2 (1960), 219–223.
    • (1960) Oper Res , vol.8 , Issue.2 , pp. 219-223
    • Manne, A.S.1
  • 2
    • 0346639145 scopus 로고    scopus 로고
    • Exact algorithms for the job sequencing and tool switching problem
    • [2] Laporte, G., Salazar-GonzÁ. Lez, J.J., Semet, F., Exact algorithms for the job sequencing and tool switching problem. IIE Trans. 36:1 (2004), 37–45.
    • (2004) IIE Trans. , vol.36 , Issue.1 , pp. 37-45
    • Laporte, G.1    Salazar-GonzÁ. Lez, J.J.2    Semet, F.3
  • 3
    • 54949138457 scopus 로고    scopus 로고
    • Application of adaptive genetic algorithm and particle swarm optimisation in scheduling of jobs and as/Rs in fms
    • [3] Asokan, P., Jerald, J., Arunachalam, S., Page, T., Application of adaptive genetic algorithm and particle swarm optimisation in scheduling of jobs and as/Rs in fms. Int J Manuf Res 3:4 (2008), 393–405.
    • (2008) Int J Manuf Res , vol.3 , Issue.4 , pp. 393-405
    • Asokan, P.1    Jerald, J.2    Arunachalam, S.3    Page, T.4
  • 4
    • 33746031638 scopus 로고
    • Integration of process planning and scheduling functions
    • [4] Khoshnevis, B., Chen, Q.M., Integration of process planning and scheduling functions. J Intell Manuf 2:3 (1991), 165–175.
    • (1991) J Intell Manuf , vol.2 , Issue.3 , pp. 165-175
    • Khoshnevis, B.1    Chen, Q.M.2
  • 5
    • 84876152333 scopus 로고
    • Scheduling with flexible process plans
    • [5] Chen, Q., Khoshnevis, B., Scheduling with flexible process plans. Prod Plann Control 4:4 (1993), 333–343.
    • (1993) Prod Plann Control , vol.4 , Issue.4 , pp. 333-343
    • Chen, Q.1    Khoshnevis, B.2
  • 6
    • 0033885605 scopus 로고    scopus 로고
    • Integration of process planning and scheduling—a review
    • [6] Tan, W., Khoshnevis, B., Integration of process planning and scheduling—a review. J Intell Manuf 11:1 (2000), 51–63.
    • (2000) J Intell Manuf , vol.11 , Issue.1 , pp. 51-63
    • Tan, W.1    Khoshnevis, B.2
  • 7
    • 84922262786 scopus 로고    scopus 로고
    • Multi-objective process planning and scheduling using controlled elitist non-dominated sorting genetic algorithm
    • [7] Mohapatra, P., Nayak, A., Kumar, S.K., Tiwari, M.K., Multi-objective process planning and scheduling using controlled elitist non-dominated sorting genetic algorithm. Int J Prod Res 53:6 (2014), 1712–1735.
    • (2014) Int J Prod Res , vol.53 , Issue.6 , pp. 1712-1735
    • Mohapatra, P.1    Nayak, A.2    Kumar, S.K.3    Tiwari, M.K.4
  • 8
    • 84976556349 scopus 로고    scopus 로고
    • Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization
    • [8] Freitag, M., Hildebrandt, T., Automatic design of scheduling rules for complex manufacturing systems by multi-objective simulation-based optimization. CIRP Ann Manuf Technol 65:1 (2016), 433–436.
    • (2016) CIRP Ann Manuf Technol , vol.65 , Issue.1 , pp. 433-436
    • Freitag, M.1    Hildebrandt, T.2
  • 9
    • 77949786665 scopus 로고    scopus 로고
    • A review on integrated process planning and scheduling
    • [9] Li, X., Gao, L., Zhang, C., Shao, X., A review on integrated process planning and scheduling. Int J Manuf Res 5:2 (2010), 161–180.
    • (2010) Int J Manuf Res , vol.5 , Issue.2 , pp. 161-180
    • Li, X.1    Gao, L.2    Zhang, C.3    Shao, X.4
  • 10
    • 77949802024 scopus 로고    scopus 로고
    • A grasp algorithm for the integration of process planning and scheduling in a flexible job-shop
    • [10] Rajkumar, M., Asokan, P., Page, T., Arunachalam, S., A grasp algorithm for the integration of process planning and scheduling in a flexible job-shop. Int J Manuf Res 5:2 (2010), 230–251.
    • (2010) Int J Manuf Res , vol.5 , Issue.2 , pp. 230-251
    • Rajkumar, M.1    Asokan, P.2    Page, T.3    Arunachalam, S.4
  • 11
    • 84945488150 scopus 로고    scopus 로고
    • Energy-Efficient scheduling in manufacturing companies: a review and research framework
    • [11] Gahm, C., Denz, F., Dirr, M., Tuma, A., Energy-Efficient scheduling in manufacturing companies: a review and research framework. Eur J Oper Res 248:3 (2016), 744–757.
    • (2016) Eur J Oper Res , vol.248 , Issue.3 , pp. 744-757
    • Gahm, C.1    Denz, F.2    Dirr, M.3    Tuma, A.4
  • 12
    • 80052993037 scopus 로고    scopus 로고
    • Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey
    • [12] Shen, W., Wang, L., Hao, Q., Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey. IEEE Trans Syst Man Cybern Part C Appl Rev 36:4 (2006), 563–577.
    • (2006) IEEE Trans Syst Man Cybern Part C Appl Rev , vol.36 , Issue.4 , pp. 563-577
    • Shen, W.1    Wang, L.2    Hao, Q.3
  • 13
    • 34248206715 scopus 로고    scopus 로고
    • A novel function block based integration approach to process planning and scheduling with execution control
    • [13] Wang, L., Hao, Q., Shen, W., A novel function block based integration approach to process planning and scheduling with execution control. Int J Manuf Technol Manage 11:2 (2007), 228–250.
    • (2007) Int J Manuf Technol Manage , vol.11 , Issue.2 , pp. 228-250
    • Wang, L.1    Hao, Q.2    Shen, W.3
  • 14
    • 84882456353 scopus 로고    scopus 로고
    • Real-time scheduling in manufacturing system with machining and assembly operations: a state of art
    • [14] Khodke, P.M., Bhongade, A.S., Real-time scheduling in manufacturing system with machining and assembly operations: a state of art. Int J Prod Res 51:16 (2013), 4966–4978.
    • (2013) Int J Prod Res , vol.51 , Issue.16 , pp. 4966-4978
    • Khodke, P.M.1    Bhongade, A.S.2
  • 15
    • 0242703954 scopus 로고    scopus 로고
    • Rescheduling manufacturing systems: a framework of strategies, policies, and methods
    • [15] Vieira, G.E., Herrmann, J.W., Lin, E., Rescheduling manufacturing systems: a framework of strategies, policies, and methods. J Schedul 6:1 (2003), 39–62.
    • (2003) J Schedul , vol.6 , Issue.1 , pp. 39-62
    • Vieira, G.E.1    Herrmann, J.W.2    Lin, E.3
  • 17
    • 79953808353 scopus 로고    scopus 로고
    • Real-time scheduling of multi-stage flexible job shop floor
    • [17] Ham, M., Lee, Y.H., Kim, S.H., Real-time scheduling of multi-stage flexible job shop floor. Int J Prod Res 49:12 (2011), 3715–3730.
    • (2011) Int J Prod Res , vol.49 , Issue.12 , pp. 3715-3730
    • Ham, M.1    Lee, Y.H.2    Kim, S.H.3
  • 18
    • 33746839203 scopus 로고    scopus 로고
    • Real-time scheduling for holonic manufacturing systems based on estimation of future status
    • [18] Iwamura, K., Okubo, N., Tanimizu, Y., Sugimura, N., Real-time scheduling for holonic manufacturing systems based on estimation of future status. Int J Prod Res 44:18–19 (2006), 3657–3675.
    • (2006) Int J Prod Res , vol.44 , Issue.18-19 , pp. 3657-3675
    • Iwamura, K.1    Okubo, N.2    Tanimizu, Y.3    Sugimura, N.4
  • 19
    • 40849098593 scopus 로고    scopus 로고
    • Real time distributed shop floor scheduling using an agent-based service-oriented architecture
    • [19] Wang, C., Ghenniwa, H., Shen, W., Real time distributed shop floor scheduling using an agent-based service-oriented architecture. Int J Prod Res 46:9 (2008), 2433–2452.
    • (2008) Int J Prod Res , vol.46 , Issue.9 , pp. 2433-2452
    • Wang, C.1    Ghenniwa, H.2    Shen, W.3
  • 20
    • 0026254010 scopus 로고
    • Semi-Markov decision models for real-time scheduling
    • [20] Yih, Y., Thesen, A., Semi-Markov decision models for real-time scheduling. Int J Prod Res 29:11 (1991), 2331–2346.
    • (1991) Int J Prod Res , vol.29 , Issue.11 , pp. 2331-2346
    • Yih, Y.1    Thesen, A.2
  • 21
    • 56349095561 scopus 로고    scopus 로고
    • Applying ant colony optimisation (Aco) algorithm to dynamic job shop scheduling problems
    • [21] Zhou, R., Lee, H.P., Nee, A.Y.C., Applying ant colony optimisation (Aco) algorithm to dynamic job shop scheduling problems. Int J Manuf Res 3:3 (2008), 301–320.
    • (2008) Int J Manuf Res , vol.3 , Issue.3 , pp. 301-320
    • Zhou, R.1    Lee, H.P.2    Nee, A.Y.C.3
  • 22
    • 78349250220 scopus 로고    scopus 로고
    • Real time selection of scheduling rules and knowledge extraction via dynamically controlled data mining
    • [22] Metan, G., Sabuncuoglu, I., Pierreval, H., Real time selection of scheduling rules and knowledge extraction via dynamically controlled data mining. Int J Prod Res 48:23 (2010), 6909–6938.
    • (2010) Int J Prod Res , vol.48 , Issue.23 , pp. 6909-6938
    • Metan, G.1    Sabuncuoglu, I.2    Pierreval, H.3
  • 23
    • 84894543957 scopus 로고    scopus 로고
    • Implementation of supervised statistical data mining algorithm for single machine scheduling
    • [23] Jain, V.K., Premalatha, S., Baskar, N., Implementation of supervised statistical data mining algorithm for single machine scheduling. J Adv Manage Res 9:2 (2012), 170–177.
    • (2012) J Adv Manage Res , vol.9 , Issue.2 , pp. 170-177
    • Jain, V.K.1    Premalatha, S.2    Baskar, N.3
  • 24
    • 15744372517 scopus 로고    scopus 로고
    • Repair-control of enterprise systems using Rfid sensory data
    • [24] Kohn, W., Brayman, V., Littleton, J., Repair-control of enterprise systems using Rfid sensory data. IIE Trans 37:4 (2005), 281–290.
    • (2005) IIE Trans , vol.37 , Issue.4 , pp. 281-290
    • Kohn, W.1    Brayman, V.2    Littleton, J.3
  • 25
    • 84870947362 scopus 로고    scopus 로고
    • A case of implementing Rfid-Based real-time shop-floor material management for household electrical appliance manufacturers
    • [25] Qu, T., Yang, H.D., Huang, G.Q., Zhang, Y.F., Luo, H., Qin, W., A case of implementing Rfid-Based real-time shop-floor material management for household electrical appliance manufacturers. J Intell Manuf 23:6 (2012), 2343–2356.
    • (2012) J Intell Manuf , vol.23 , Issue.6 , pp. 2343-2356
    • Qu, T.1    Yang, H.D.2    Huang, G.Q.3    Zhang, Y.F.4    Luo, H.5    Qin, W.6
  • 26
    • 49149120257 scopus 로고    scopus 로고
    • Rfid-based smart kanbans for just-in-time manufacturing
    • [26] Zhang, Y., Jiang, P., Huang, G., Rfid-based smart kanbans for just-in-time manufacturing. Int J Mater Prod Technol 33:1–2 (2008), 170–184.
    • (2008) Int J Mater Prod Technol , vol.33 , Issue.1-2 , pp. 170-184
    • Zhang, Y.1    Jiang, P.2    Huang, G.3
  • 27
    • 84954314072 scopus 로고    scopus 로고
    • Manifold learning based rescheduling decision mechanism for recessive disturbances in Rfid-driven job shops
    • (published online)
    • [27] Wang, C., Jiang, P., Manifold learning based rescheduling decision mechanism for recessive disturbances in Rfid-driven job shops. J Intell Manuf, 2016, 10.1007/s10845-016-1194-1 (published online).
    • (2016) J Intell Manuf
    • Wang, C.1    Jiang, P.2
  • 28
    • 72449130980 scopus 로고    scopus 로고
    • Data mining in manufacturing: a review based on the kind of knowledge
    • [28] Choudhary, A.K., Harding, J.A., Tiwari, M.K., Data mining in manufacturing: a review based on the kind of knowledge. J Intell Manuf 20:5 (2008), 501–521.
    • (2008) J Intell Manuf , vol.20 , Issue.5 , pp. 501-521
    • Choudhary, A.K.1    Harding, J.A.2    Tiwari, M.K.3
  • 29
    • 79957992809 scopus 로고    scopus 로고
    • A review of data mining applications for quality improvement in manufacturing industry
    • [29] Köksal, G., Batmaz, İ., Testik, M.C., A review of data mining applications for quality improvement in manufacturing industry. Expert Syst Appl 38:10 (2011), 13448–13467.
    • (2011) Expert Syst Appl , vol.38 , Issue.10 , pp. 13448-13467
    • Köksal, G.1    Batmaz, İ.2    Testik, M.C.3
  • 30
    • 84880242239 scopus 로고    scopus 로고
    • Mining affective needs of automotive industry customers for building a mass-customization recommender system
    • [30] Mavridou, E., Kehagias, D.D., Tzovaras, D., Hassapis, G., Mining affective needs of automotive industry customers for building a mass-customization recommender system. J Intell Manuf 24:2 (2011), 251–265.
    • (2011) J Intell Manuf , vol.24 , Issue.2 , pp. 251-265
    • Mavridou, E.1    Kehagias, D.D.2    Tzovaras, D.3    Hassapis, G.4
  • 31
    • 84999036761 scopus 로고    scopus 로고
    • A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products
    • Part 2
    • [31] Zhang, Y., Ren, S., Liu, Y., Si, S., A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. J Clean Prod 142 (2016), 626–641 Part 2.
    • (2016) J Clean Prod , vol.142 , pp. 626-641
    • Zhang, Y.1    Ren, S.2    Liu, Y.3    Si, S.4
  • 32
    • 84942374449 scopus 로고    scopus 로고
    • Big data in product lifecycle management
    • [32] Li, J., Tao, F., Cheng, Y., Zhao, L., Big data in product lifecycle management. Int J Adv Manuf Technol 81:1–4 (2015), 667–684.
    • (2015) Int J Adv Manuf Technol , vol.81 , Issue.1-4 , pp. 667-684
    • Li, J.1    Tao, F.2    Cheng, Y.3    Zhao, L.4
  • 33
    • 84870899455 scopus 로고    scopus 로고
    • Extracting performance rules of suppliers in the manufacturing industry: an empirical study
    • [33] Chen, Y.-S., Cheng, C.-H., Lai, C.-J., Extracting performance rules of suppliers in the manufacturing industry: an empirical study. J Intell Manuf 23:5 (2011), 2037–2045.
    • (2011) J Intell Manuf , vol.23 , Issue.5 , pp. 2037-2045
    • Chen, Y.-S.1    Cheng, C.-H.2    Lai, C.-J.3
  • 34
    • 84978977044 scopus 로고    scopus 로고
    • Big data for supply chain management in the service and manufacturing sectors: challenges, opportunities, and future perspectives
    • [34] Zhong, R.Y., Newman, S.T., Huang, G.Q., Lan, S., Big data for supply chain management in the service and manufacturing sectors: challenges, opportunities, and future perspectives. Comput Ind Eng 101 (2016), 572–591.
    • (2016) Comput Ind Eng , vol.101 , pp. 572-591
    • Zhong, R.Y.1    Newman, S.T.2    Huang, G.Q.3    Lan, S.4
  • 35
    • 84977950760 scopus 로고    scopus 로고
    • Big data and virtualization for manufacturing cyber-Physical systems: a survey of the current status and future outlook
    • [35] Babiceanu, R.F., Seker, R., Big data and virtualization for manufacturing cyber-Physical systems: a survey of the current status and future outlook. Comput Ind 81 (2016), 128–137.
    • (2016) Comput Ind , vol.81 , pp. 128-137
    • Babiceanu, R.F.1    Seker, R.2
  • 36
    • 84929502678 scopus 로고    scopus 로고
    • A big data approach for logistics trajectory discovery from Rfid-enabled production data
    • [36] Zhong, R.Y., Huang, G.Q., Lan, S., Dai, Q.Y., Chen, X., Zhang, T., A big data approach for logistics trajectory discovery from Rfid-enabled production data. Int J Prod Econ 165 (2015), 260–272.
    • (2015) Int J Prod Econ , vol.165 , pp. 260-272
    • Zhong, R.Y.1    Huang, G.Q.2    Lan, S.3    Dai, Q.Y.4    Chen, X.5    Zhang, T.6
  • 37
    • 85016986596 scopus 로고    scopus 로고
    • Developing a big data analytics platform for increasing sustainability performance in machining operations
    • [37] Woo, J., Shin, S.-J., Seo, W., Developing a big data analytics platform for increasing sustainability performance in machining operations. Proc. of Flexible Automation and Intelligent Manufacturing, 2016, 1–8.
    • (2016) Proc. of Flexible Automation and Intelligent Manufacturing , pp. 1-8
    • Woo, J.1    Shin, S.-J.2    Seo, W.3
  • 38
    • 84876494973 scopus 로고    scopus 로고
    • Big data a revolution that will transform how we live, work, and think
    • Eamon Dolan/Houghton Mifflin Harcourt Boston New York
    • [38] Mayer-Schonberger, V., Cukier, K., Big data a revolution that will transform how we live, work, and think. 2013, Eamon Dolan/Houghton Mifflin Harcourt, Boston New York.
    • (2013)
    • Mayer-Schonberger, V.1    Cukier, K.2
  • 39
    • 0004185855 scopus 로고
    • Cluster analysis: correlation profile and orthometric (factor) analysis for the isolation of unities in mind and personality
    • Edwards Brothers
    • [39] Tryon, R.C., Cluster analysis: correlation profile and orthometric (factor) analysis for the isolation of unities in mind and personality. 1939, Edwards Brothers.
    • (1939)
    • Tryon, R.C.1
  • 40
    • 84907828639 scopus 로고
    • Numerical taxonomy and cluster analysis
    • SAGE Publications Inc.
    • [40] Bailey, K.D., Numerical taxonomy and cluster analysis. 1994, SAGE Publications Inc.
    • (1994)
    • Bailey, K.D.1
  • 41
    • 85056048446 scopus 로고    scopus 로고
    • Analysis of multivariate social science data
    • Taylor & Francis
    • [41] Bartholomew, D.J., Steele, F., Galbraith, J., Moustaki, I., Analysis of multivariate social science data. 2008, Taylor & Francis.
    • (2008)
    • Bartholomew, D.J.1    Steele, F.2    Galbraith, J.3    Moustaki, I.4
  • 42
    • 81055138684 scopus 로고    scopus 로고
    • Big data: the next frontier for innovation, competition, and productivity
    • McKinsey Global Institute
    • [42] Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., et al. Big data: the next frontier for innovation, competition, and productivity. 2011, McKinsey Global Institute.
    • (2011)
    • Manyika, J.1    Chui, M.2    Brown, B.3    Bughin, J.4    Dobbs, R.5    Roxburgh, C.6
  • 43
    • 0003987805 scopus 로고    scopus 로고
    • Principles of data mining
    • The MIT Press Cambridge, Massachusetts, London, England
    • [43] Hand, D., Mannila, H., Smyth, P., Principles of data mining. 2001, The MIT Press, Cambridge, Massachusetts, London, England.
    • (2001)
    • Hand, D.1    Mannila, H.2    Smyth, P.3
  • 44
    • 85016969854 scopus 로고    scopus 로고
    • What analytics, data mining, data science software/tools you used in the past 12 months for a real project poll
    • [44] Dnuggets, K., What analytics, data mining, data science software/tools you used in the past 12 months for a real project poll. 2016 http://www.kdnuggets.com/polls/2014/analytics-data-mining-data-science-software-used.html.
    • (2016)
    • Dnuggets, K.1
  • 45
    • 33751421006 scopus 로고    scopus 로고
    • Problems, methods, and challenges in comprehensive data cleansing
    • Humboldt-Universität zu Berlin zu Berlin Berlin, Germany
    • [45] Müller, H., Freytag, J.-C., Problems, methods, and challenges in comprehensive data cleansing. 2005, Humboldt-Universität zu Berlin zu Berlin, Berlin, Germany.
    • (2005)
    • Müller, H.1    Freytag, J.-C.2
  • 46
    • 0004209335 scopus 로고
    • Principles of compiler design
    • Addison-Wesley Reading, MA, USA
    • [46] Aho, A.V., Ullman, J.D., Principles of compiler design. 1977, Addison-Wesley, Reading, MA, USA.
    • (1977)
    • Aho, A.V.1    Ullman, J.D.2
  • 48
    • 84870656910 scopus 로고    scopus 로고
    • A survey of current methods for integrity constraint maintenance and view updating
    • [48] Mayol, E., Teniente, E., A survey of current methods for integrity constraint maintenance and view updating. Adv Conceptual Model, 1999, 62–73.
    • (1999) Adv Conceptual Model , pp. 62-73
    • Mayol, E.1    Teniente, E.2
  • 50
    • 0010274189 scopus 로고    scopus 로고
    • Data cleansing: beyond integrity analysis
    • [50] Maletic, J.I., Marcus, A., Data cleansing: beyond integrity analysis. Proc. of IQ, 2000, 200–209.
    • (2000) Proc. of IQ , pp. 200-209
    • Maletic, J.I.1    Marcus, A.2
  • 52
    • 0023417432 scopus 로고
    • Simplifying decision trees
    • [52] Quinlan, J.R., Simplifying decision trees. Int J Man Mach Stud 27:3 (1987), 221–234.
    • (1987) Int J Man Mach Stud , vol.27 , Issue.3 , pp. 221-234
    • Quinlan, J.R.1
  • 53
    • 0003584577 scopus 로고
    • Artificial intelligence: a modern approach
    • Prentice Hall, Egnlewood Cliffs New Jersey
    • [53] Russell, S., Norvig, P., Artificial intelligence: a modern approach. 1995, Prentice Hall, Egnlewood Cliffs, New Jersey.
    • (1995)
    • Russell, S.1    Norvig, P.2
  • 54
    • 0003448310 scopus 로고    scopus 로고
    • Bayesian networks and decision graphs
    • Springer Science & Business Media
    • [54] Nielsen, T.D., Jensen, F.V., Bayesian networks and decision graphs. 2009, Springer Science & Business Media.
    • (2009)
    • Nielsen, T.D.1    Jensen, F.V.2
  • 55
    • 0003593041 scopus 로고    scopus 로고
    • Neural network design
    • PWS Publishing Company Boston
    • [55] Hagan, M.T., Demuth, H.B., Beale, M.H., De Jesús, O., Neural network design. 1996, PWS Publishing Company, Boston.
    • (1996)
    • Hagan, M.T.1    Demuth, H.B.2    Beale, M.H.3    De Jesús, O.4
  • 56
    • 34249753618 scopus 로고
    • Support-vector networks
    • [56] Cortes, C., Vapnik, V., Support-vector networks. Mach Learn 20:3 (1995), 273–297.
    • (1995) Mach Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 58
    • 0004267735 scopus 로고    scopus 로고
    • Lazy learning
    • Kluwer Academic Publishers
    • [58] Aha, D.W., Lazy learning. 1997, Kluwer Academic Publishers, 7–10.
    • (1997) , pp. 7-10
    • Aha, D.W.1
  • 59
    • 0003587805 scopus 로고    scopus 로고
    • An introduction to genetic algorithms
    • MIT Press Cambridge, Massachusetts, London, England
    • [59] Melanie, M., An introduction to genetic algorithms. 1999, MIT Press, Cambridge, Massachusetts, London, England.
    • (1999)
    • Melanie, M.1
  • 60
    • 0003397496 scopus 로고
    • Rough sets: theoretical aspects of reasoning about data
    • Springer Netherlands
    • [60] Pawlak, Z., Rough sets: theoretical aspects of reasoning about data. 1991, Springer, Netherlands.
    • (1991)
    • Pawlak, Z.1
  • 61
    • 34248666540 scopus 로고
    • Fuzzy sets
    • [61] Zadeh, L.A., Fuzzy sets. Inf Control 8:3 (1965), 338–353.
    • (1965) Inf Control , vol.8 , Issue.3 , pp. 338-353
    • Zadeh, L.A.1
  • 62
    • 84990941766 scopus 로고    scopus 로고
    • Data mining: concepts and techniques
    • Elsevier
    • [62] Han, J., Pei, J., Kamber, M., Data mining: concepts and techniques. 2011, Elsevier.
    • (2011)
    • Han, J.1    Pei, J.2    Kamber, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.