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    DMIN
    2006
    125views Data Mining» more  DMIN 2006»
    Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
    14 years 10 months ago
    Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
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    In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
    Jianjie Ma, Krishnamoorthy Sivakumar
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    DMIN
    2006
    157views Data Mining» more  DMIN 2006»
    Data Mining of Air Traffic Control Operational Errors
    14 years 10 months ago
    Data Mining of Air Traffic Control Operational Errors
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    In this paper we present the results of applying data mining techniques to identify patterns and anomalies in air traffic control operational errors (OEs). Reducing the OE rate is ...
    Zohreh Nazeri
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    DMIN
    2006
    132views Data Mining» more  DMIN 2006»
    Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
    14 years 10 months ago
    Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
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    Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
    Janaki Gopalan, Reda Alhajj, Ken Barker
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    DMIN
    2006
    103views Data Mining» more  DMIN 2006»
    Modeling of the counter-examples and association rules interestingness measures behavior
    14 years 10 months ago
    Modeling of the counter-examples and association rules interestingness measures behavior
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    Association rules discovery is one of the most important tasks in Knowledge Discovery in Data Bases. Since the initial APRIORI algorithm, many efforts have been done in order to de...
    Benoît Vaillant, Stéphane Lallich, Ph...
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    DMIN
    2006
    239views Data Mining» more  DMIN 2006»
    Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
    14 years 10 months ago
    Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
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    In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
    Jo Ting, Tak-Chung Fu, Fu-Lai Chung
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