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Volumn 28, Issue 4, 2007, Pages 343-362

Providing predictions on distributed HMMs with privacy

Author keywords

Accuracy; Distributed models; Hidden Markov models; Prediction; Privacy

Indexed keywords

ACCURACY; DISTRIBUTED MODELS; FORECASTING PURPOSE; PREDICTION; PRIVACY;

EID: 68549133148     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10462-009-9106-9     Document Type: Article
Times cited : (4)

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  • 13
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    • Providing naïve Bayesian classifier-based private recommendations on partitioned data
    • C Kaleli H Polat 2007 Providing naïve Bayesian classifier-based private recommendations on partitioned data LNAI 4702 515 522
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  • 15
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    • Privacy-preserving distributed mining of association rules on horizontally partitioned data
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    • Polat, H.1    Du, W.2
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    • A tutorial on hidden Markov models and selected applications in speech recognition
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.