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Volumn 23, Issue 3, 2001, Pages 211-237

A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders

Author keywords

Grammatical inference; Machine learning; Self organizing neural networks; Sleep related breathing disorders; Temporal abstraction

Indexed keywords

KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; MEDICAL APPLICATIONS; NEURAL NETWORKS; TIME SERIES ANALYSIS;

EID: 0034773434     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(01)00089-6     Document Type: Article
Times cited : (21)

References (47)
  • 1
    • 0003071793 scopus 로고    scopus 로고
    • Aho AV. Algorithms for finding patterns in strings. In: Leeuwen JV, editor. Algorithms and complexity: handbook of theoretical computer science, vol. A. Amsterdam: Elsevier, 1990.
  • 2
    • 0002936981 scopus 로고    scopus 로고
    • American Academy of Sleep Medicine Task Force. Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. Sleep 1999;22:667-89.
  • 3
    • 0003013406 scopus 로고    scopus 로고
    • Andrews R, Diederich J, Tickle AB. Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-based systems, vol. 8, no. 6. Amsterdam: Elsevier, 1995. pp. 373-89.
  • 5
    • 0003013408 scopus 로고    scopus 로고
    • Berndt DJ, Clifford J. Finding patterns in time series: a dynamic programming approach. In: Fayyad UM, et al., editors. Advances in knowledge discovery and data mining. London: AAAI Press, The MIT Press, 1996. pp. 229-48.
  • 6
    • 0002937397 scopus 로고    scopus 로고
    • Bezdek JC. Hybrid modeling in pattern recognition and control. Knowledge-based systems, vol. 8, no. 6. Amsterdam: Elsevier, 1995. pp. 359-71.
  • 7
    • 0003007915 scopus 로고    scopus 로고
    • Bishop CM. Neural networks for pattern recognition. Oxford: Clarendon Press, 1995.
  • 8
    • 0002937399 scopus 로고    scopus 로고
    • Bock HH. Clustering and neural networks. In: Rizzi A, et al. (Eds.), Advances in Data Science and Classification, Proceedings of the 6th Conference of the International Federation of Classification Societies, Rome, 1998, Springer, pp. 265-77.
  • 9
    • 0003013701 scopus 로고    scopus 로고
    • Bontempi G, Birattari M, Bersini H. Local learning for iterated time-series prediction. In: Bratko I, Dzeroski S, editors. Proceedings of the International Conference on Machine Learning - ICML99, 1999; Morgan Kaufmann. pp. 32-8.
  • 10
    • 0002989914 scopus 로고    scopus 로고
    • Bukharaev RG. Theorie der stochastischen Automaten. Stuttgart: Teubner Verlag, 1995.
  • 11
    • 0002929933 scopus 로고    scopus 로고
    • Bürsner S, Spreckelsen C, Nebe J, Spitzer K. Epistemologische Adäquatheit bei der Akquisition und formalen Repräsentation neurologischen Wissens, Informatik, Biometrie und Epidemiologie in Medizin und Biologie 26 (39). Stuttgart: Eugen Ulmer Verlag, 1995. pp. 229-39.
  • 12
    • 0002931482 scopus 로고    scopus 로고
    • Chakravarty S, Shahar Y. Acquisition and analysis of periodic patterns in time-oriented clinical data. Technical report SMI-2000-0822. Stanford: Stanford Medical Informatics, Stanford University, 2000.
  • 13
    • 0002928829 scopus 로고    scopus 로고
    • Cimino JJ, Barnett GO. Automatic knowledge acquisition from MEDLINE. Methods of information in medicine. Schattauer Verlag, 1993. pp. 120-30.
  • 14
    • 0003007612 scopus 로고    scopus 로고
    • Fukunaga K. Introduction to statistical pattern recognition. 2nd ed. Boston: Academic Press, 1990.
  • 15
    • 0003002847 scopus 로고    scopus 로고
    • Goonatilake S, Khebal S. Intelligent hybrid systems. New York: Wiley, 1995.
  • 16
    • 0003007614 scopus 로고    scopus 로고
    • Guimaraes G. Eine Methode zur Entdeckung von komplexen Mustern in Zeitreihen mit Neuronalen Netzen and deren Überführung in eine symbolische Wissenrepräsentation. Ph.D. Dissertation. Germany: Philipps University of Marburg, 1998.
  • 17
    • 0002937402 scopus 로고    scopus 로고
    • Guimaraes G, Ultsch A. A symbolic description for patterns using definitive clause grammars. In: Klar R, Opitz O, editors. Classification and knowledge organization. Proceedings of the 20th Annual Conference of the Gesellschaft für Klassifikation, 1996 Mar 6-8. University of Freiburg, Springer, 1997. pp. 105-11.
  • 18
    • 0002931484 scopus 로고    scopus 로고
    • Guimaraes G, Ultsch A. A method for temporal knowledge conversion. In: Hand DJ, Kok JN, Berthold MR, editors. Advances in intelligent data analysis. Proceedings of the IDA99, The Third Symposium on Intelligent Data Analysis, Aug 9-11; Amsterdam, The Netherlands. Lecture notes in computer science, vol. 1642. New York: Springer, 1999. pp. 369-80.
  • 19
    • 0003003748 scopus 로고    scopus 로고
    • Guralnik V, Srivastava J. Event detection from time series data. In: Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999; San Diego, USA. pp. 33-42.
  • 20
    • 0002937801 scopus 로고    scopus 로고
    • Kaski S, Kohonen T. Exploratory data analysis by self-organizing map: structures of welfare and poverty in the world. In: Refenes APN, Abu-Mostafa Y, Moody J, Weigend A, editors. Neural networks in financial engineering. Proceedings of the International Conference on Neural Networks in the Capital Markets, 1995 Oct 11-13; London, 1996; Singapore. pp. 498-507.
  • 21
    • 0003071795 scopus 로고    scopus 로고
    • Jackson P. Introduction to expert systems. Reading, MA: Addison-Wesley, 1986.
  • 23
    • 0002989916 scopus 로고    scopus 로고
    • Kohonen T. Self-organizing maps. New York: Springer, 1995.
  • 24
    • 0003013703 scopus 로고    scopus 로고
    • Koski A, Juhola M, Meriste M. Syntactic recognition of ECG signals by attributed finite automata. Pattern Recog, J Pattern Recog Soc 1995;28(12):1927-40.
  • 25
    • 0003079876 scopus 로고    scopus 로고
    • Lawrence S, Tsoi AC, Giles CL. Noisy time series prediction using symbolic representation and recurrent neural network grammatical inference. Technical report UMIACS-TR-96-27. Maryland: Institute for Advanced Computer Studies, University of Maryland, 1996.
  • 26
    • 0003073228 scopus 로고    scopus 로고
    • Masters T. Neural, novel and hybrid algorithms for time series prediction. New York: Wiley, 1995.
  • 28
    • 0002931486 scopus 로고    scopus 로고
    • Michie D, Spiegelhalter DJ, Taylor CC. Machine learning, neural and statistical classification. Chichester, UK: Ellis Horwood, 1994.
  • 29
    • 0003007917 scopus 로고    scopus 로고
    • Oates T. Identifying distinctive subsequences in multivariate time series by clustering. In: Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, USA, 1999. pp. 322-6.
  • 31
    • 0003007919 scopus 로고    scopus 로고
    • Penzel T, Peter JH. Design of an ambulatory sleep apnoea recorder. In: Nagle HT, Tompkins WJ, editors. Case studies in medical instrument design. New York: IEEE, 1992. pp. 171-9.
  • 33
    • 0002935808 scopus 로고    scopus 로고
    • Peter JH, Becker H, Brandenburg U, Cassel W, Conradt R, Hochban W, Knaack L, Mayer G, Penzel T. Investigation and diagnosis of sleep apnoea syndrome. In: McNicholas WT, editor. Respiratory disorders during sleep. Eur Resp Soc J 1998;106-43.
  • 34
    • 0002922510 scopus 로고    scopus 로고
    • Peter JH. Störungen der Atmungsregulation. In: Hornbostel H, Kaufmann W, Siegenthaler W, editors. Innere Medizin in Praxis und Klinik, Band I: Herz, Gefäße, Atmungsorgane, Endokrines System, 4 Aufl. New York: Georg Thieme Verlag, 1991. pp. 262-80.
  • 35
    • 0002983415 scopus 로고    scopus 로고
    • Ritter HJ, Martinetz T, Schulten K. Neural computation and self-organizing maps: an introduction. Reading, MA: Addison-Wesley, 1992.
  • 36
    • 0003079878 scopus 로고    scopus 로고
    • Rojas R. Neural networks - a systematic introduction. New York: Springer, 1996.
  • 37
    • 0003005030 scopus 로고    scopus 로고
    • Rumelhart DE, McClelland JL. Parallel distributed processing. Cambridge: MIT Press, 1986.
  • 39
    • 0003007921 scopus 로고    scopus 로고
    • Sleep apnoea, sleepiness, and driving risk. America Thoracic Society, Medical Section of the American Lung Association. Am J Resp Crit Care Med 1994;150:1463-73.
  • 40
    • 0002922512 scopus 로고    scopus 로고
    • Standards of Practice Committee of the American Sleep Disorders Association. Practice parameters for the indications for polysomnography and related procedures. Sleep 1997;20:406-22.
  • 42
    • 0003071797 scopus 로고    scopus 로고
    • Ultsch A. Self-organizing neural networks for visualization and classification. In: Proceedings of the Conference on Soc. Information and Classification, 1992 April; Dortmund.
  • 43
    • 0002928831 scopus 로고    scopus 로고
    • Ultsch A. Knowledge extraction from self-organizing neural networks. In: Opitz O, Lausen B, Klar R, editors. Information and classification. Berlin: Springer, 1993. pp. 301-6.
  • 44
    • 0002927009 scopus 로고    scopus 로고
    • Ultsch A. The integration of neural networks with symbolic knowledge processing. In: Diday, et al., editors. New approaches in classification and data analysis. New York: Springer, 1994. pp. 445-54.
  • 45
    • 0003005383 scopus 로고    scopus 로고
    • Ultsch A, Korus D, Wehrmann A. Neural networks and their rules classification in marine geology. Raum und Zeit in Umweltinformationssystemen. In: Proceedings of the 9th International Symposium on Computer Science for Environmental Protection CSEP'95, vol. I. GI-Fachausschuß 4.6 Informatik im Umweltschutz, Band 7, Metropolis-Verlag, 1995:676-93.
  • 46
    • 0003072557 scopus 로고    scopus 로고
    • Ultsch A, Kleine TO, Korus D, Farsch S, Guimaraes G, Pietzuch W, Simon J. Evaluation of automatic and manual knowledge acquisition for cerebrospinal fluid (CSF). In: Keravnu E, et al., editors. Artificial intelligence in medicine, Lecture notes in artificial intelligence 1211, vol. 934. New York: Springer, 1997. pp. 110-21.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.