Big data-driven anomaly detection in cellular networks

2017 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccchina.2017.8330468 ◽

2017 ◽

Author(s):

Bilal Hussain ◽

Qinghe Du ◽

Pinyi Ren

Keyword(s):

Big Data ◽

Anomaly Detection ◽

Cellular Networks ◽

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Big Data Driven Anomaly Detection for Cellular Networks

IEEE Access ◽

10.1109/access.2020.2973214 ◽

2020 ◽

Vol 8 ◽

pp. 31398-31408

Author(s):

Qiqi Zhu ◽

Li Sun

Keyword(s):

Big Data ◽

Anomaly Detection ◽

Cellular Networks ◽

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Deep Learning-Based Big Data-Assisted Anomaly Detection in Cellular Networks

2018 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2018.8647366 ◽

2018 ◽

Author(s):

Bilal Hussain ◽

Qinghe Du ◽

Pinyi Ren

Keyword(s):

Big Data ◽

Deep Learning ◽

Anomaly Detection ◽

Cellular Networks

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Big-data-driven anomaly detection in industry (4.0): An approach and a case study

2016 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2016.7840777 ◽

2016 ◽

Author(s):

Ljiljana Stojanovic ◽

Marko Dinic ◽

Nenad Stojanovic ◽

Aleksandar Stojadinovic

Keyword(s):

Big Data ◽

Anomaly Detection ◽

Industry 4.0 ◽

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Big Data Driven Mobile Cellular Networks: Modelling, Experiments, and Applications

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/466/1/012074 ◽

2018 ◽

Vol 466 ◽

pp. 012074

Author(s):

Shangjing Lin ◽

Jianguo Yu ◽

Ji Ma

Keyword(s):

Big Data ◽

Cellular Networks ◽

Data Driven ◽

Mobile Cellular ◽

Mobile Cellular Networks

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Semi-supervised learning based big data-driven anomaly detection in mobile wireless networks

China Communications ◽

10.1109/cc.2018.8357700 ◽

2018 ◽

Vol 15 (4) ◽

pp. 41-57 ◽

Author(s):

Bilal Hussain ◽

Qinghe Du ◽

Pinyi Ren

Keyword(s):

Wireless Networks ◽

Big Data ◽

Anomaly Detection ◽

Supervised Learning ◽

Mobile Wireless Networks ◽

Data Driven ◽

Mobile Wireless

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Big Data-driven Automated Anomaly Detection and Performance Forecasting in Mobile Networks

2020 IEEE Globecom Workshops (GC Wkshps ◽

10.1109/gcwkshps50303.2020.9367579 ◽

2020 ◽

Author(s):

Jessica Moysen ◽

Furqan Ahmed ◽

Mario Garcia-Lozano ◽

Jarno Niemela

Keyword(s):

Big Data ◽

Anomaly Detection ◽

Mobile Networks ◽

Data Driven ◽

Performance Forecasting ◽

And Performance

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Anomaly detection for cellular networks using big data analytics

IET Communications ◽

10.1049/iet-com.2019.0765 ◽

2019 ◽

Vol 13 (20) ◽

pp. 3351-3359

Author(s):

Bing Li ◽

Shengjie Zhao ◽

Rongqing Zhang ◽

Qingjiang Shi ◽

Kai Yang

Keyword(s):

Big Data ◽

Anomaly Detection ◽

Cellular Networks ◽

Data Analytics ◽

Big Data Analytics

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A data-driven preprocessing scheme on anomaly detection in big data applications

2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) ◽

10.1109/infcomw.2017.8116481 ◽

2017 ◽

Author(s):

Shengjie Xu ◽

Yi Qian ◽

Rose Qingyang Hu

Keyword(s):

Big Data ◽

Anomaly Detection ◽

Data Driven ◽

Big Data Applications

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Understanding Unemployment in the Era of Big Data: Policy Informed by Data-Driven Theory

SSRN Electronic Journal ◽

10.2139/ssrn.2719493 ◽

2016 ◽

Author(s):

Omar A. Guerrero ◽

Eduardo Lopez

Keyword(s):

Big Data ◽

Data Driven ◽

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Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Report Two: Model Building at the Cell Level

10.2172/1431303 ◽

2018 ◽

Author(s):

A. Ansari ◽

S. Mohaghegh ◽

M. Shahnam ◽

J. F. Dietiker ◽

T. Li

Keyword(s):

Machine Learning ◽

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Big Data ◽

Data Analytics ◽

Model Building ◽

Big Data Analytics ◽

Data Driven ◽

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