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Volumn 2431 LNAI, Issue , 2002, Pages 125-137

A classification approach for prediction of target events in temporal sequences

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; FORECASTING; SINGULAR VALUE DECOMPOSITION; SUPPORT VECTOR MACHINES;

EID: 80053915467     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45681-3_11     Document Type: Conference Paper
Times cited : (17)

References (17)
  • 3
    • 0003238552 scopus 로고    scopus 로고
    • Incremental and decremental support vector machine learning
    • 130
    • Cauwenberghs, G., Poggio, T. (2000). Incremental and Decremental Support Vector Machine Learning. NIPS. 130
    • (2000) NIPS
    • Cauwenberghs, G.1    Poggio, T.2
  • 9
    • 17944378423 scopus 로고    scopus 로고
    • Dimensionality reduction for similarity searching in dynamic databases
    • 129
    • Kanth, K. V. R., Agrawal, D., Singh, A.(1998). Dimensionality Reduction for Similarity Searching in Dynamic Databases. ACM SIGMOD. 129
    • (1998) ACM SIGMOD
    • Kanth, K.V.R.1    Agrawal, D.2    Singh, A.3
  • 12
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • MITPress. 130
    • Platt, J. C.(1999). Fast Training of Support Vector Machines using Sequential Minimal Optimization. Advances in Kernel Methods, MITPress, 185-208. 130
    • (1999) Advances in Kernel Methods , pp. 185-208
    • Platt, J.C.1
  • 16
    • 10944228151 scopus 로고    scopus 로고
    • Sequence mining in categorical domains
    • Springer Verlag, Lecture Notes in Computer Science. 127
    • Zaki, M. J.(2001). Sequence mining in categorical domains. Sequence Learning: Paradigms, Algorithms, and Applications, pp. 162-187, Springer Verlag, Lecture Notes in Computer Science. 127
    • (2001) Sequence Learning: Paradigms, Algorithms, and Applications , pp. 162-187
    • Zaki, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.