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Volumn 31, Issue 1, 2008, Pages 1-33

Incremental application of knowledge to continuously arriving time-oriented data

Author keywords

Complex events monitoring; Continuous monitoring; Incremental temporal abstraction; Situation recognition; Temporal reasoning

Indexed keywords

ABSTRACTING; AGGLOMERATION; COMMUNICATION; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; DECISION MAKING; DECISION SUPPORT SYSTEMS; FINANCIAL DATA PROCESSING; HEALTH; INFORMATION THEORY; NETWORK ARCHITECTURE;

EID: 47249126258     PISSN: 09259902     EISSN: 15737675     Source Type: Journal    
DOI: 10.1007/s10844-007-0038-z     Document Type: Article
Times cited : (11)

References (29)
  • 1
    • 0039964359 scopus 로고    scopus 로고
    • The active database management system manifesto: A rulebase of ADBMS features
    • ACT-NET. 3
    • ACT-NET (1996). The active database management system manifesto: A rulebase of ADBMS features. ACM SIGMOD Record, 25(3), 20-49, September.
    • (1996) ACM SIGMOD Record , vol.25 , pp. 20-49
  • 2
  • 4
    • 18844409115 scopus 로고    scopus 로고
    • A framework for distributed mediation of temporal-abstraction queries to clinical databases
    • Boaz, D., & Shahar, Y. (2005). A framework for distributed mediation of temporal-abstraction queries to clinical databases. Artificial Intelligence in Medicine 34(1): 3 - 24
    • (2005) Artificial Intelligence in Medicine , vol.34 , Issue.1 , pp. 3-24
    • Boaz, D.1    Shahar, Y.2
  • 6
    • 0039711615 scopus 로고
    • HiPAC: A research project in active, time-constrained database management
    • Xerox Advanced Information Technology, Cambridge, Massachusetts
    • Chakravarthy, S., Blaustein, B., Buchmann, A. P., Carey, M., Dayal, U., Goldhirsch, D., et al. (1989). HiPAC: A research project in active, time-constrained database management. Technical Report XAIT-89-02, Xerox Advanced Information Technology, Cambridge, Massachusetts.
    • (1989) Technical Report XAIT-89-02
    • Chakravarthy, S.1    Blaustein, B.2    Buchmann, A.P.3    Carey, M.4    Dayal, U.5    Goldhirsch, D.6
  • 7
    • 0028545068 scopus 로고
    • Snoop: An expressive event specification language for active databases
    • 1
    • Chakravarthy, S., & Mishra, D. (1994). Snoop: An expressive event specification language for active databases. Data Knowledge Engineering, 14(1), 1-26.
    • (1994) Data Knowledge Engineering , vol.14 , pp. 1-26
    • Chakravarthy, S.1    Mishra, D.2
  • 9
    • 84974721118 scopus 로고
    • Combining active databases and timing constraints
    • The HiPAC Project et al.
    • Dayal, U., Blaustein, B., Buchmann, A. P., Chakravarthy, U., Hsu, M., Ledin, R., et al. The HiPAC Project (1988). Combining active databases and timing constraints. ACM Sigmod Record, 17, 1.
    • (1988) ACM Sigmod Record , vol.17 , pp. 1
    • Dayal, U.1
  • 10
    • 0042210976 scopus 로고
    • SAMOS: An active object-oriented database system
    • Gatziu, S., & Dittrich, K. R. (1992). SAMOS: An active object-oriented database system. Data Eng. Bull., 15, 1-4, December.
    • (1992) Data Eng. Bull. , vol.15 , pp. 1-4
    • Gatziu, S.1    Dittrich, K.R.2
  • 13
    • 0002614496 scopus 로고
    • Ode as an active database: Constraints and triggers
    • Barcelona, September
    • Gehani, N. H., & Jagadish, H. V. (1991). Ode as an active database: Constraints and triggers. In Proceedings of VLDB. Barcelona, September.
    • (1991) Proceedings of VLDB
    • Gehani, N.H.1    Jagadish, H.V.2
  • 16
    • 0032255089 scopus 로고    scopus 로고
    • Intelligent data analysis for medical diagnosis: Using machine learning and temporal abstraction
    • Lavrač, N., Kononenko, I., Keravnou, E., Kukar, M., & Zupan, B. (1999). Intelligent data analysis for medical diagnosis: Using machine learning and temporal abstraction. AI Communications, 11, 191-218.
    • (1999) AI Communications , vol.11 , pp. 191-218
    • Lavrač, N.1    Kononenko, I.2    Keravnou, E.3    Kukar, M.4    Zupan, B.5
  • 18
    • 0003413210 scopus 로고    scopus 로고
    • Paton N. (Ed.) Berlin Heidelberg New York: Springer
    • Paton N. (Ed.) (1999). Active rules in database systems. Berlin Heidelberg New York: Springer.
    • (1999) Active Rules in Database Systems
  • 19
    • 0024717742 scopus 로고
    • Situation monitoring for active databases
    • Rosenthal, A., Chakravarthy, S., & Blautein, B. (1989). Situation monitoring for active databases. VLDB, 455-464.
    • (1989) VLDB , pp. 455-464
    • Rosenthal A.chakravarthy, S.1    Blautein, B.2
  • 21
    • 0033164603 scopus 로고    scopus 로고
    • Deriving trends in historical and real-time continuously sampled medical data
    • 1-2
    • Salatian, A., & Hunter, J. (1999). Deriving trends in historical and real-time continuously sampled medical data. Journal of Intelligent Information Systems, 13(1-2), 47-71.
    • (1999) Journal of Intelligent Information Systems , vol.13 , pp. 47-71
    • Salatian, A.1    Hunter, J.2
  • 22
    • 0031069719 scopus 로고    scopus 로고
    • A framework for knowledge-based temporal abstraction
    • 1-2
    • Shahar, Y. (1997). A framework for knowledge-based temporal abstraction. Artificial Intelligence, 90(1-2), 79-133.
    • (1997) Artificial Intelligence , vol.90 , pp. 79-133
    • Shahar, Y.1
  • 23
    • 0032384750 scopus 로고    scopus 로고
    • Dynamic temporal interpretation contexts for temporal abstraction
    • 1-2
    • Shahar, Y. (1998). Dynamic temporal interpretation contexts for temporal abstraction. Annals of Mathematics and Artificial Intelligence, 22(1-2), 159-192.
    • (1998) Annals of Mathematics and Artificial Intelligence , vol.22 , pp. 159-192
    • Shahar, Y.1
  • 24
    • 0030200817 scopus 로고    scopus 로고
    • Knowledge-based temporal abstraction in clinical domains
    • Shahar, Y., & Musen, M. A. (1996). Knowledge-based temporal abstraction in clinical domains. Artificial Intelligence in Medicine, 8, 267-298.
    • (1996) Artificial Intelligence in Medicine , vol.8 , pp. 267-298
    • Shahar, Y.1    Musen, M.A.2
  • 27
    • 34249078128 scopus 로고    scopus 로고
    • A time-oriented active database approach for intelligent abstraction, monitoring and querying of clinical data from multiple sources
    • San Francisco, US
    • Spokoiny, A., & Shahar, Y. (2004). A time-oriented active database approach for intelligent abstraction, monitoring and querying of clinical data from multiple sources. Proceedings of the 11th world congress on medical informatics-MEDINFO-04. San Francisco, US.
    • (2004) Proceedings of the 11th World Congress on Medical informatics-MEDINFO-04
    • Spokoiny, A.1    Shahar, Y.2
  • 28
    • 34249042666 scopus 로고    scopus 로고
    • An active database architecture for knowledge-based incremental abstraction of complex concepts from continuously arriving time-oriented raw data
    • doi: 10.1007/s10844-006-0008-x
    • Spokoiny, A., & Shahar, Y. (2007). An active database architecture for knowledge-based incremental abstraction of complex concepts from continuously arriving time-oriented raw data. Journal of Intelligent Information Systems, doi: 10.1007/s10844-006-0008-x.
    • (2007) Journal of Intelligent Information Systems
    • Spokoiny, A.1    Shahar, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.