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Volumn 60, Issue 2, 2011, Pages 195-205

Increasing availability of industrial systems through data stream mining

Author keywords

Availability; Data stream management system; Data stream mining; Grid based classifier; Industrial systems

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; DATA POINTS; DATA SETS; DATA STREAM MANAGEMENT SYSTEMS; DATA STREAM MINING; DATA VOLUME; EQUIPMENT FAILURES; GRID-BASED; INDUSTRIAL COMPANIES; INDUSTRIAL PRODUCT; INDUSTRIAL SYSTEMS; OFFLINE; ONE-CLASS SUPPORT VECTOR MACHINE; ONLINE DATA; PROCESS DATA; PRODUCT AVAILABILITY; REAL TIME; STORAGE CAPACITY;

EID: 78951484172     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2010.10.008     Document Type: Article
Times cited : (38)

References (99)
  • 1
    • 0042014316 scopus 로고    scopus 로고
    • Aurora: A new model and architecture for data stream management
    • D. Abadi Aurora: A new model and architecture for data stream management The VLDB Journal 12 2 2003 120 139
    • (2003) The VLDB Journal , vol.12 , Issue.2 , pp. 120-139
    • Abadi, D.1
  • 5
    • 78951495916 scopus 로고    scopus 로고
    • Soft computing applications in wind power systems: A review and analysis
    • Stockholm, Sweden
    • Alsyouf, I., Alzghoul, A. (2009). Soft computing applications in wind power systems: a review and analysis. In European offshore wind conference and exhibition. Stockholm, Sweden.
    • (2009) European Offshore Wind Conference and Exhibition
    • Alsyouf, I.1    Alzghoul, A.2
  • 6
    • 33745499570 scopus 로고    scopus 로고
    • An approach to model-based fault detection in industrial measurement systems with application to engine test benches
    • P. Angelov An approach to model-based fault detection in industrial measurement systems with application to engine test benches Measurement Science and Technology 17 7 2006 1809 1818
    • (2006) Measurement Science and Technology , vol.17 , Issue.7 , pp. 1809-1818
    • Angelov, P.1
  • 7
    • 28044469868 scopus 로고    scopus 로고
    • Stream: The stanford data stream management system
    • Garofalakis, Gehrke, and Rastogi (Eds.)
    • Arasu, A., et al. 2004. Stream: The stanford data stream management system. In Garofalakis, Gehrke, and Rastogi (Eds.), A book on data stream management.
    • (2004) A Book on Data Stream Management
    • Arasu, A.1
  • 9
    • 71249129483 scopus 로고    scopus 로고
    • Efficient incremental mining of contrast patterns in changing data
    • J. Bailey Efficient incremental mining of contrast patterns in changing data Information Processing Letters 110 3 2010 88 92
    • (2010) Information Processing Letters , vol.110 , Issue.3 , pp. 88-92
    • Bailey, J.1
  • 10
    • 84991253179 scopus 로고
    • The optimal design of hunting weapons: Maintainability or reliability
    • P. Bleed The optimal design of hunting weapons: Maintainability or reliability American Antiquity 51 4 1986 737 747
    • (1986) American Antiquity , vol.51 , Issue.4 , pp. 737-747
    • Bleed, P.1
  • 14
    • 33646520347 scopus 로고    scopus 로고
    • Finding frequent itemsets over online data streams
    • J.H. Chang Finding frequent itemsets over online data streams Information and Software Technology 48 7 2006 606 618
    • (2006) Information and Software Technology , vol.48 , Issue.7 , pp. 606-618
    • Chang, J.H.1
  • 18
    • 43849093462 scopus 로고    scopus 로고
    • An efficient algorithm for mining temporal high utility itemsets from data streams
    • C.J. Chu An efficient algorithm for mining temporal high utility itemsets from data streams The Journal of systems and software 81 7 2008 1105 1117
    • (2008) The Journal of Systems and Software , vol.81 , Issue.7 , pp. 1105-1117
    • Chu, C.J.1
  • 20
    • 50149120100 scopus 로고    scopus 로고
    • Info-fuzzy algorithms for mining dynamic data streams
    • L. Cohen Info-fuzzy algorithms for mining dynamic data streams Applied Soft Computing 8 4 2008 1283 1294
    • (2008) Applied Soft Computing , vol.8 , Issue.4 , pp. 1283-1294
    • Cohen, L.1
  • 24
    • 78951489643 scopus 로고    scopus 로고
    • Data everywhere (a special report on managing information)
    • 2010 Data February 27th
    • Data, 2010. Data everywhere (a special report on managing information). In The Economist. February 27th, 2010.
    • (2010) In the Economist
  • 33
    • 10044238664 scopus 로고    scopus 로고
    • Mining frequent patterns in data streams at multiple time granularities
    • C. Giannella Mining frequent patterns in data streams at multiple time granularities Next Generation Data Mining 212 2003 191 212
    • (2003) Next Generation Data Mining , vol.212 , pp. 191-212
    • Giannella, C.1
  • 37
    • 78951483675 scopus 로고    scopus 로고
    • http://user.it.uu.se/∼udbl/ Cited 04.08.10.
  • 38
    • 78951494898 scopus 로고    scopus 로고
    • http://user.it.uu.se/∼udbl/iStreams.html Cited 01.08.10.
  • 39
    • 78951477020 scopus 로고    scopus 로고
    • http://user.it.uu.se/∼udbl/SCSQ.html Cited 09.06.10.
  • 40
    • 78951469295 scopus 로고    scopus 로고
    • http://www.hagglunds.com/ Cited 03.08.10.
  • 41
    • 78951487147 scopus 로고    scopus 로고
    • http://www.ltu.se/tfm/cad/home/d3919/d748/d18397/1.42699?l=en Cited 0.08.10.
  • 49
    • 44949255650 scopus 로고    scopus 로고
    • Mining machine data streams using statistical process monitoring techniques
    • Karacal, S. C. (2007). Mining machine data streams using statistical process monitoring techniques. In IIE annual conference and expo.
    • (2007) IIE Annual Conference and Expo
    • Karacal, S.C.1
  • 51
    • 2942534530 scopus 로고    scopus 로고
    • VEDAS: A mobile and distributed data stream mining system for real-time vehicle monitoring
    • H. Kargupta VEDAS: A mobile and distributed data stream mining system for real-time vehicle monitoring SIAM Proceedings Series 1 2004 300 311
    • (2004) SIAM Proceedings Series , vol.1 , pp. 300-311
    • Kargupta, H.1
  • 52
    • 33846315505 scopus 로고    scopus 로고
    • On-board vehicle data stream monitoring using mine-fleet and fast resource constrained monitoring of correlation matrices
    • H. Kargupta On-board vehicle data stream monitoring using mine-fleet and fast resource constrained monitoring of correlation matrices New Generation Computing 25 1 2007 5 32
    • (2007) New Generation Computing , vol.25 , Issue.1 , pp. 5-32
    • Kargupta, H.1
  • 53
    • 21844471761 scopus 로고    scopus 로고
    • Clustering of time-series subsequences is meaningless: Implications for previous and future research
    • E. Keogh, and J. Lin Clustering of time-series subsequences is meaningless: Implications for previous and future research Knowledge and Information Systems 8 2 2005 154 177
    • (2005) Knowledge and Information Systems , vol.8 , Issue.2 , pp. 154-177
    • Keogh, E.1    Lin, J.2
  • 54
    • 78951478726 scopus 로고    scopus 로고
    • Data stream mining: Selected tools & algorithms (numerical analysis and new information technology)
    • M. Kobayashi Data stream mining: Selected tools & algorithms (numerical analysis and new information technology) RIMS Kokyuroku 1362 2004 124 132
    • (2004) RIMS Kokyuroku , vol.1362 , pp. 124-132
    • Kobayashi, M.1
  • 55
    • 37449029679 scopus 로고    scopus 로고
    • Online classification of nonstationary data streams
    • M. Last Online classification of nonstationary data streams Intelligent Data Analysis 6 2 2002 129 147
    • (2002) Intelligent Data Analysis , vol.6 , Issue.2 , pp. 129-147
    • Last, M.1
  • 63
    • 33845542379 scopus 로고    scopus 로고
    • Mining frequent closed patterns from a sliding window over data streams
    • X. Liu Mining frequent closed patterns from a sliding window over data streams Journal of Computer Research and Development 43 10 2006 1738 1743
    • (2006) Journal of Computer Research and Development , vol.43 , Issue.10 , pp. 1738-1743
    • Liu, X.1
  • 80
  • 85
    • 57649183681 scopus 로고    scopus 로고
    • Efficient single-pass frequent pattern mining using a prefix-tree
    • S.K. Tanbeer Efficient single-pass frequent pattern mining using a prefix-tree Information Sciences 179 5 2009 559 583
    • (2009) Information Sciences , vol.179 , Issue.5 , pp. 559-583
    • Tanbeer, S.K.1
  • 86
    • 69549097483 scopus 로고    scopus 로고
    • Sliding window-based frequent pattern mining over data streams
    • S.K. Tanbeer Sliding window-based frequent pattern mining over data streams Information sciences 179 22 2009 3843 3865
    • (2009) Information Sciences , vol.179 , Issue.22 , pp. 3843-3865
    • Tanbeer, S.K.1
  • 87
    • 57949108012 scopus 로고    scopus 로고
    • MovStream: An efficient algorithm for monitoring clusters evolving in data streams
    • Tang, L. (2008). MovStream: An efficient algorithm for monitoring clusters evolving in data streams. In Granular computing in IEEE international conference on 2008 (pp. 582-587).
    • (2008) Granular Computing in IEEE International Conference on 2008 , pp. 582-587
    • Tang, L.1
  • 90
    • 46349094540 scopus 로고    scopus 로고
    • An efficient classification system based on binary search trees for data streams mining
    • Wang, T. (2007). An efficient classification system based on binary search trees for data streams mining. In 2nd International conference on systems, ICONS.
    • (2007) 2nd International Conference on Systems, ICONS
    • Wang, T.1
  • 92
    • 11244262621 scopus 로고    scopus 로고
    • Similarity based modeling of time synchronous averaged vibration signals for machinery health monitoring
    • S.W. Wegerich Similarity based modeling of time synchronous averaged vibration signals for machinery health monitoring IEEE Aerospace Conference Proceedings 6 2004 3654 3662
    • (2004) IEEE Aerospace Conference Proceedings , vol.6 , pp. 3654-3662
    • Wegerich, S.W.1
  • 93
    • 48049097950 scopus 로고    scopus 로고
    • A grid-based clustering algorithm for network anomaly detection
    • Wei, X., Huang, H., Tian, S. (2007). A grid-based clustering algorithm for network anomaly detection. isdpe, 104-106.
    • (2007) Isdpe , pp. 104-106
    • Wei, X.1    Huang, H.2    Tian, S.3
  • 97
    • 43249088014 scopus 로고    scopus 로고
    • Tracking clusters in evolving data streams over sliding windows
    • A. Zhou Tracking clusters in evolving data streams over sliding windows Knowledge and Information Systems 15 2 2008 181 214
    • (2008) Knowledge and Information Systems , vol.15 , Issue.2 , pp. 181-214
    • Zhou, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.