메뉴 건너뛰기




Volumn 55, Issue 1, 2010, Pages 91-114

Application of rule induction algorithms for analysis of data collected by seismic hazard monitoring systems in coal mines

Author keywords

Classification; Microseismic hazard prediction; Rule based systems

Indexed keywords


EID: 79960416857     PISSN: 08607001     EISSN: 16890469     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (54)

References (38)
  • 2
    • 0035414899 scopus 로고    scopus 로고
    • Rule quality measures for rule induction systems: Description and evaluation
    • An A., Cercone N., 2001. Rule quality measures for rule induction systems - description and evaluation. Computational Intelligence, Vol. 17, 409-424. (Pubitemid 32934013)
    • (2001) Computational Intelligence , vol.17 , Issue.3 , pp. 409-424
    • An, A.1    Cercone, N.2
  • 5
    • 0034753122 scopus 로고    scopus 로고
    • A neural-network model for earthquake occurrence
    • DOI 10.1016/S0264-3707(01)00039-4, PII S0264370701000394
    • Bodri B., 2001. A neural-network model for earthquake occurrence. Journal of Geodynamics, Vol. 32, No 3, 289-310. (Pubitemid 33017312)
    • (2001) Journal of Geodynamics , vol.32 , Issue.3 , pp. 289-310
    • Bodri, B.1
  • 7
    • 0041814296 scopus 로고    scopus 로고
    • Quality of decision rules: Definitions and classification schemes for multiple rules
    • Nakhaeizadeh, G., Taylor, C.C. (Eds.), the Interface. John Wiley & Sons, New York
    • Bruha I., 1997. Quality of Decision Rules: Definitions and Classification Schemes for Multiple Rules. In Nakhaeizadeh, G., Taylor, C.C. (Eds.) Machine Learning and Statistics, The Interface. John Wiley & Sons, New York, 107-131.
    • (1997) Machine Learning and Statistics , pp. 107-131
    • Bruha, I.1
  • 8
    • 79951577367 scopus 로고    scopus 로고
    • The meaning of seismoacoustic emission for estimation of time of the mining tremors occurrence
    • Cianciara A., Cianciara B., 2006. The meaning of seismoacoustic emission for estimation of time of the mining tremors occurrence. Archives of Mining Sciences, Vol. 51, No 4, 563-575.
    • (2006) Archives of Mining Sciences , vol.51 , Issue.4 , pp. 563-575
    • Cianciara, A.1    Cianciara, B.2
  • 10
    • 79960409386 scopus 로고    scopus 로고
    • Zastosowanie metody tomografii pasywnej do oceny zagrożenia sejsmicznego w kopalniach
    • Dubiński J., Lurka A., Mutke I., 1998. Zastosowanie metody tomografii pasywnej do oceny zagrożenia sejsmicznego w kopalniach. Przegla̧d Górniczy, No 3, 1-7.
    • (1998) Przegla̧d Górniczy , Issue.3 , pp. 1-7
    • Dubiński, J.1    Lurka, A.2    Mutke, I.3
  • 11
    • 0002135094 scopus 로고
    • LERS - A system for learning from examples based on rough sets
    • Słowiński, R. (Ed.) Intelligent Decision Support, . Kluwer Academic Publishers, Dordrecht, Boston, London
    • Grzymała-Busse J., 1992. LERS - a system for learning from examples based on rough sets. In: Słowiński, R. (Ed.) Intelligent Decision Support. Handbook of applications and advances of the rough set theory. Kluwer Academic Publishers, Dordrecht, Boston, London, 3-18.
    • (1992) Handbook of Applications and Advances of the Rough Set Theory , pp. 3-18
    • Grzymała-Busse, J.1
  • 12
    • 27744463461 scopus 로고    scopus 로고
    • A comparison of two approaches to data mining from imbalanced data
    • DOI 10.1007/s10845-005-4362-2
    • Grzymała-Busse J., Stefanowski J., Wilk S., 2005. A comparison of two approaches to data mining form imbalanced data. Journal of Intelligent Manufacturing, Vol. 16, 565-573. (Pubitemid 41605674)
    • (2005) Journal of Intelligent Manufacturing , vol.16 , Issue.6 , pp. 565-573
    • Grzymala-Busse, J.W.1    Stefanowski, J.2    Wilk, S.3
  • 13
    • 4243225362 scopus 로고    scopus 로고
    • Classification methods in rule induction. Intelligent information systems
    • Poland, 2-5 June
    • Grzymała-Busse J., Wang C. P., 1996. Classification Methods in Rule Induction. Intelligent Information Systems. Proceedings of the Workshop held in Dȩblin, Poland, 2-5 June, 120-126.
    • (1996) Proceedings of the Workshop Held in Dȩblin , pp. 120-126
    • Grzymała-Busse, J.1    Wang, C.P.2
  • 15
    • 33748286723 scopus 로고    scopus 로고
    • Effect of the form of data on the quality of mine tremors hazard forecasting using neural networks
    • Kabiesz J., 2005. Effect of the form of data on the quality of mine tremors hazard forecasting using neural networks. Geotechnical and Geological Engineering, Vol. 24, No 5, 1131-1147.
    • (2005) Geotechnical and Geological Engineering , vol.24 , Issue.5 , pp. 1131-1147
    • Kabiesz, J.1
  • 16
    • 79960417209 scopus 로고    scopus 로고
    • Prognosis of strong tremors in a mine with the application of fuzzy numbers
    • Chania, Greece, 3-4 June
    • Kowalik S., 1999. Prognosis of Strong Tremors in a Mine with the Application of Fuzzy Numbers. Proceedings of the European Symposium on Intelligent Techniques, Chania, Greece, 3-4 June, 47-49.
    • (1999) Proceedings of the European Symposium on Intelligent Techniques , pp. 47-49
    • Kowalik, S.1
  • 18
    • 77954736456 scopus 로고    scopus 로고
    • Linear prediction of aggregated seismic and seismoacustic energy emitted from a mining longwall
    • 129
    • Kornowski J., 2003a. Linear prediction of aggregated seismic and seismoacustic energy emitted from a mining longwall. Acta Montana Ser. A, No 22 (129), 4-14.
    • (2003) Acta Montana Ser. A , Issue.22 , pp. 4-14
    • Kornowski, J.1
  • 19
    • 33644568583 scopus 로고    scopus 로고
    • Linear prediction of hourly aggregated AE and tremors energy emitted form a longwall and its performance in practice
    • Kornowski J., 2003b. Linear prediction of hourly aggregated AE and tremors energy emitted form a longwall and its performance in practice. Archives of Mining Sciences, Vol. 48, No 3, 315-337.
    • (2003) Archives of Mining Sciences , vol.48 , Issue.3 , pp. 315-337
    • Kornowski, J.1
  • 24
    • 0345712415 scopus 로고    scopus 로고
    • Estimation of mining tremor occurrence by using neural networks
    • Rudajev V., Číž R., 1999. Estimation of Mining Tremor Occurrence by Using Neural Networks. Pure and Applied Geophysics, Vol. 154, No 1, 57-72. (Pubitemid 29280378)
    • (1999) Pure and Applied Geophysics , vol.154 , Issue.1 , pp. 57-72
    • Rudajev, V.1    Ciz, R.2
  • 25
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: pitfalls to avoid and a recommended approach
    • Salzberg S.L., 1997. On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach. Data Mining and Knowledge Discovery, Vol. 1, 317-328.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 317-328
    • Salzberg, S.L.1
  • 26
    • 53849084467 scopus 로고    scopus 로고
    • Application of rough set and decision tree for characterization of premonitory factors of low seismic activity
    • Sikder I.U., Munakata T., 2007. Application of rough set and decision tree for characterization of premonitory factors of low seismic activity. Expert System with Application, Vol. 36, No 1, 102-110.
    • (2007) Expert System with Application , vol.36 , Issue.1 , pp. 102-110
    • Sikder, I.U.1    Munakata, T.2
  • 27
    • 79960407606 scopus 로고    scopus 로고
    • System wspomagania pracy stacji geofizycznej - Hestia
    • 395, Katowice
    • Sikora M., 2003. System wspomagania pracy stacji geofizycznej - Hestia. Mechanizacja i Automatyzacja Górnictwa, No 12/395, Katowice, 15-20.
    • (2003) Mechanizacja i Automatyzacja Górnictwa , Issue.12 , pp. 15-20
    • Sikora, M.1
  • 29
    • 79960423482 scopus 로고    scopus 로고
    • Application of machine learning and soft computing techniques in monitoring systems' data analysis by example of dewater pumps monitoring system
    • Sikora M., 2007. Application of machine learning and soft computing techniques in monitoring systems' data analysis by example of dewater pumps monitoring system. Archives of Control Sciences, Vol. 17, No 4, 369-391.
    • (2007) Archives of Control Sciences , vol.17 , Issue.4 , pp. 369-391
    • Sikora, M.1
  • 30
    • 77949851587 scopus 로고    scopus 로고
    • Decision rules-based data models using TRS andNetTRS - Methods and algorithms
    • LNCS 5946
    • Sikora M., 2010. Decision rules-based data models using TRS andNetTRS - methods and algorithms. Transactions on Rough Sets XI, LNCS 5946, 130-160.
    • (2010) Transactions on Rough Sets XI , pp. 130-160
    • Sikora, M.1
  • 32
    • 53549096651 scopus 로고    scopus 로고
    • Application of Machine Learning for prediction a methane concentration in a coal-mine
    • Sikora M., Sikora B., 2006. Application of Machine Learning for prediction a methane concentration in a coal-mine. Archives of Mining Sciences, Vol. 51, No 4, 475-492.
    • (2006) Archives of Mining Sciences , vol.51 , Issue.4 , pp. 475-492
    • Sikora, M.1    Sikora, B.2
  • 33
    • 79960407605 scopus 로고    scopus 로고
    • Wyniki stosowania algorytmów indukcji reguł do klasyfikacji stanu zagrożenia ta̧paniami w kopalniach wȩgla kamiennego
    • 459, Katowice
    • Sikora M., Wróbel ł., 2009. Wyniki stosowania algorytmów indukcji reguł do klasyfikacji stanu zagrożenia ta̧paniami w kopalniach wȩgla kamiennego. Mechanizacja i Automatyzacja Górnictwa, No 5/459, Katowice, 5-13.
    • (2009) Mechanizacja i Automatyzacja Górnictwa , Issue.5 , pp. 5-13
    • Sikora, M.1    Wróbel, Ł.2
  • 34
    • 0002395767 scopus 로고
    • The Discernibility Matrices and Functions in Information systems
    • Słowiński R. (ed.): Intelligent Decision Support, Kluwer Academic Publishers, Dordrecht
    • Skowron A., Rauszer C., 1992. The Discernibility Matrices and Functions in Information systems. In Słowiński R. (ed.): Intelligent Decision Support. Handbook of Applications and Advances of the Rough Sets Theory. Kluwer Academic Publishers, Dordrecht, 331-362.
    • (1992) Handbook of Applications and Advances of the Rough Sets Theory , pp. 331-362
    • Skowron, A.1    Rauszer, C.2
  • 36
    • 0035148004 scopus 로고    scopus 로고
    • Induction of decision rules in classification and discovery-oriented perspectives
    • Stefanowski J., Vanderpooten D., 2001. Induction of decision rules in classification and discovery-oriented perspectives. International Journal of Intelligent Systems, Vol. 16, No 1, 13-28.
    • (2001) International Journal of Intelligent Systems , vol.16 , Issue.1 , pp. 13-28
    • Stefanowski, J.1    Vanderpooten, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.