Data Categorization and Noise Analysis in Mobile Communication Using Machine Learning Algorithms

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ISSN Print: 1945-3078
ISSN Online: 1945-3086
www.scirp.org/journal/wsn
E-mail: wsn@scirp.org

"Data Categorization and Noise Analysis in Mobile Communication Using Machine Learning Algorithms"
written by Raghavendra Phani Kumar, Malleswara Rao, Dsvgk Kaladhar,
published by Wireless Sensor Network, Vol.4 No.4, 2012

has been cited by the following article(s):

[1]	Prediction of Important Factors for Bleeding in Liver Cirrhosis Disease Using Ensemble Data Mining Approach
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[2]	Predicting Colon Cancer Using Data Mining Techniques
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[3]	Measurement (Data Mining) of Real Mobile Signals Data in Weka Tools for Interference Detection
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[4]	A New Categorization Numerical Scheme for Mobile Robotic Computing Using Odor Data-set Recognition as a Case
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[5]	A New Categorization Numerical Scheme for Mobile Robotic Computing Using Odor Data-set Recognition as a Case.
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[6]	GENE EXPRESSION DATA ANALYSIS USING DATA MINING ALGORITHMS FOR COLON CANCER
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[7]	The Elements of Statistical Learning in Colon Cancer Datasets: Data Mining, Inference and Prediction
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[1]	Prediction of Important Factors for Bleeding in Liver Cirrhosis Disease Using Ensemble Data Mining Approach Mathematics, 2020 DOI:10.3390/math8111887

[2]	Prediction of Important Factors for Bleeding in Liver Cirrhosis Disease Using Ensemble Data Mining Approach Mathematics, 2020 DOI:10.3390/math8111887

[3]	Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2 Smart Innovation, Systems and Technologies, 2018 DOI:10.1007/978-3-319-63645-0_73

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