相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation
Indika Wickramasinghe et al.
SOFT COMPUTING (2021)
Android malware detection method based on naive Bayes and permission correlation algorithm
Fengjun Shang et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2018)
Correctness attraction: a study of stability of software behavior under runtime perturbation
Benjamin Danglot et al.
EMPIRICAL SOFTWARE ENGINEERING (2018)
Towards a threat assessment framework for apps collusion
Harsha Kumara Kalutarage et al.
TELECOMMUNICATION SYSTEMS (2017)
A feature dependent Naive Bayes approach and its application to the software defect prediction problem
Omer Faruk Arar et al.
APPLIED SOFT COMPUTING (2017)
Privacy-Preserving Patient-Centric Clinical Decision Support System on Naive Bayesian Classification
Ximeng Liu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2016)
Towards Predicting Feature Defects in Software Product Lines
Rodrigo Queiroz et al.
PROCEEDINGS OF THE 7TH INTERNATIONAL WORKSHOP ON FEATURE-ORIENTED SOFTWARE DEVELOPMENT (FOSD'16) (2016)
Detecting stealthy attacks: Efficient monitoring of suspicious activities on computer networks
Harsha K. Kalutarage et al.
COMPUTERS & ELECTRICAL ENGINEERING (2015)
An empirical study on software defect prediction with a simplified metric set
Peng He et al.
INFORMATION AND SOFTWARE TECHNOLOGY (2015)
Modelling pathogen log10 reduction values achieved by activated sludge treatment using naive and semi naive Bayes network models
Guido Carvajal et al.
WATER RESEARCH (2015)
A practical tool for public health surveillance: Semi-automated coding of short injury narratives from large administrative databases using Naive Bayes algorithms
Helen R. Marucci-Wellman et al.
ACCIDENT ANALYSIS AND PREVENTION (2015)
Domains of competence of the semi-naive Bayesian network classifiers
M. Julia Flores et al.
INFORMATION SCIENCES (2014)
Naive Bayes text classifiers: a locally weighted learning approach
Liangxiao Jiang et al.
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE (2013)
Neural network Trojan
Arturo Geigel
JOURNAL OF COMPUTER SECURITY (2013)
DISCRIMINATIVELY WEIGHTED NAIVE BAYES AND ITS APPLICATION IN TEXT CLASSIFICATION
Liangxiao Jiang et al.
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS (2012)
Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning
Fei Zheng et al.
MACHINE LEARNING (2012)
Random one-dependence estimators
Liangxiao Jiang
PATTERN RECOGNITION LETTERS (2011)
A systematic review of software fault prediction studies
Cagatay Catal et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Top 10 algorithms in data mining
Xindong Wu et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2008)
Data mining static code attributes to learn defect predictors
Tim Menzies et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2007)
On the optimality of Naive Bayes with dependent binary features
LI Kuncheva
PATTERN RECOGNITION LETTERS (2006)
Bayesian network multi-classifiers for protein secondary structure prediction
V Robes et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2004)