The Experts below are selected from a list of 86205 Experts worldwide ranked by ideXlab platform
H. Vincent Poor - One of the best experts on this subject based on the ideXlab platform.
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Advanced Data Analytics for Power Systems
2021Co-Authors: Ali Tajer, Samir Perlaza, H. Vincent PoorAbstract:Experts in Data Analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big Data Analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.
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Communication Theoretic Data Analytics
Selected Areas in Communications, IEEE Journal on, 2015Co-Authors: Kwang-cheng Chen, Shao-lun Huang, Lizhong Zheng, H. Vincent PoorAbstract:Widespread use of the Internet and social networks invokes the generation of big Data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of Data, Data Analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which Data are modeled as a generalized social network and communication theory and information theory are thereby extended to Data Analytics. First, the creation of an equalizer to optimize information transfer between two Data variables is considered, and financial Data are used to demonstrate the advantages of this approach. Then, an information coupling approach based on information geometry is applied for dimensionality reduction, with a pattern recognition example to illustrate the effectiveness of this formalism. These initial trials suggest the potential of communication theoretic Data Analytics for a wide range of applications.
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Communication Theoretic Data Analytics
IEEE Journal on Selected Areas in Communications, 2015Co-Authors: Kwang-cheng Chen, Shao-lun Huang, Lizhong Zheng, H. Vincent PoorAbstract:Widespread use of the Internet and social networks invokes the generation of big Data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of Data, Data Analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which Data is modeled as a generalized social network and communication theory and information theory are thereby extended to Data Analytics. First, the creation of an equalizer to optimize information transfer between two Data variables is considered, and financial Data is used to demonstrate the advantages. Then, an information coupling approach based on information geometry is applied for dimensionality reduction, with a pattern recognition example to illustrate the effectiveness. These initial trials suggest the potential of communication theoretic Data Analytics for a wide range of applications.
Zhaohao Sun - One of the best experts on this subject based on the ideXlab platform.
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Big Data Analytics for Smart Airport Management
Advances in Data Mining and Database Management, 2021Co-Authors: Desmond Narongou, Zhaohao SunAbstract:Smart airport management has drawn increasing attention worldwide for improving airport operational efficiency. Big Data Analytics is an emerging computing paradigm and enabler for smart airport management in the age of big Data, Analytics, and artificial intelligence (AI). This chapter will explore big Data Analytics for smart airport management from a perspective of PNG Jackson's International Airport. More specifically, this chapter first provides an overview of big Data Analytics and smart airport management and then looks at the impact of big Data Analytics on smart airport management. The chapter discusses how to apply big Data Analytics and smart airport management to upgrade PNG Jackson's International Airport in terms of safety and security, optimizing operational effectiveness, service enhancements, and customer experience. The approach proposed in this chapter might facilitate research and development of intelligent big Data Analytics, smart airport management, and customer relationship management.
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The Spectrum of Big Data Analytics
Journal of Computer Information Systems, 2019Co-Authors: Zhaohao Sun, Yanxia HuoAbstract:ABSTRACTBig Data Analytics is playing a pivotal role in big Data, artificial intelligence, management, governance, and society with the dramatic development of big Data, Analytics, artificial intel...
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The Spectrum of Big Data Analytics
Journal of Computer Information Systems, 2019Co-Authors: Zhaohao Sun, Yanxia HuoAbstract:Big Data Analytics is playing a pivotal role in big Data, artificial intelligence, management, governance, and society with the dramatic development of big Data, Analytics, artificial intelligence....
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A Managerial Framework for Intelligent Big Data Analytics
2019Co-Authors: Zhaohao Sun, Yanxia HuoAbstract:Intelligent big Data Analytics is an emerging paradigm for integrating big Data, Analytics, and artificial intelligence. The objective of this paper is to provide a managerial framework of intelligent big Data Analytics. More specifically, this paper proposes a managerial framework of intelligent big Data Analytics, which consists of intelligent big Data Analytics as a science, technology, system, service and management for improving business decision making. Then it elaborates intelligent big Data Analytics for management taking into account main managerial functions: planning, organising, leading and controlling. The proposed approach in this paper might facilitate the research and development of business Analytics, big Data Analytics, business intelligence, artificial intelligence and Data science.
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Intelligent Big Data Analytics: A Managerial Perspective
Advances in Data Mining and Database Management, 2019Co-Authors: Zhaohao SunAbstract:Intelligent big Data Analytics is an emerging paradigm in the age of big Data, Analytics, and artificial intelligence (AI). This chapter explores intelligent big Data Analytics from a managerial perspective. More specifically, it first looks at the age of trinity and argues that intelligent big Data Analytics is at the center of the age of trinity. This chapter then proposes a managerial framework of intelligent big Data Analytics, which consists of intelligent big Data Analytics as a science, technology, system, service, and management for improving business decision making. Then it examines intelligent big Data Analytics for management taking into account four managerial functions: planning, organizing, leading, and controlling. The proposed approach in this chapter might facilitate the research and development of intelligent big Data Analytics, big Data Analytics, business intelligence, artificial intelligence, and Data science.
Yanxia Huo - One of the best experts on this subject based on the ideXlab platform.
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The Spectrum of Big Data Analytics
Journal of Computer Information Systems, 2019Co-Authors: Zhaohao Sun, Yanxia HuoAbstract:Big Data Analytics is playing a pivotal role in big Data, artificial intelligence, management, governance, and society with the dramatic development of big Data, Analytics, artificial intelligence....
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The Spectrum of Big Data Analytics
Journal of Computer Information Systems, 2019Co-Authors: Zhaohao Sun, Yanxia HuoAbstract:ABSTRACTBig Data Analytics is playing a pivotal role in big Data, artificial intelligence, management, governance, and society with the dramatic development of big Data, Analytics, artificial intel...
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A Managerial Framework for Intelligent Big Data Analytics
2019Co-Authors: Zhaohao Sun, Yanxia HuoAbstract:Intelligent big Data Analytics is an emerging paradigm for integrating big Data, Analytics, and artificial intelligence. The objective of this paper is to provide a managerial framework of intelligent big Data Analytics. More specifically, this paper proposes a managerial framework of intelligent big Data Analytics, which consists of intelligent big Data Analytics as a science, technology, system, service and management for improving business decision making. Then it elaborates intelligent big Data Analytics for management taking into account main managerial functions: planning, organising, leading and controlling. The proposed approach in this paper might facilitate the research and development of business Analytics, big Data Analytics, business intelligence, artificial intelligence and Data science.
Kwang-cheng Chen - One of the best experts on this subject based on the ideXlab platform.
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Communication Theoretic Data Analytics
Selected Areas in Communications, IEEE Journal on, 2015Co-Authors: Kwang-cheng Chen, Shao-lun Huang, Lizhong Zheng, H. Vincent PoorAbstract:Widespread use of the Internet and social networks invokes the generation of big Data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of Data, Data Analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which Data are modeled as a generalized social network and communication theory and information theory are thereby extended to Data Analytics. First, the creation of an equalizer to optimize information transfer between two Data variables is considered, and financial Data are used to demonstrate the advantages of this approach. Then, an information coupling approach based on information geometry is applied for dimensionality reduction, with a pattern recognition example to illustrate the effectiveness of this formalism. These initial trials suggest the potential of communication theoretic Data Analytics for a wide range of applications.
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Communication Theoretic Data Analytics
IEEE Journal on Selected Areas in Communications, 2015Co-Authors: Kwang-cheng Chen, Shao-lun Huang, Lizhong Zheng, H. Vincent PoorAbstract:Widespread use of the Internet and social networks invokes the generation of big Data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of Data, Data Analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which Data is modeled as a generalized social network and communication theory and information theory are thereby extended to Data Analytics. First, the creation of an equalizer to optimize information transfer between two Data variables is considered, and financial Data is used to demonstrate the advantages. Then, an information coupling approach based on information geometry is applied for dimensionality reduction, with a pattern recognition example to illustrate the effectiveness. These initial trials suggest the potential of communication theoretic Data Analytics for a wide range of applications.
Lizhong Zheng - One of the best experts on this subject based on the ideXlab platform.
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Communication Theoretic Data Analytics
Selected Areas in Communications, IEEE Journal on, 2015Co-Authors: Kwang-cheng Chen, Shao-lun Huang, Lizhong Zheng, H. Vincent PoorAbstract:Widespread use of the Internet and social networks invokes the generation of big Data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of Data, Data Analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which Data are modeled as a generalized social network and communication theory and information theory are thereby extended to Data Analytics. First, the creation of an equalizer to optimize information transfer between two Data variables is considered, and financial Data are used to demonstrate the advantages of this approach. Then, an information coupling approach based on information geometry is applied for dimensionality reduction, with a pattern recognition example to illustrate the effectiveness of this formalism. These initial trials suggest the potential of communication theoretic Data Analytics for a wide range of applications.
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Communication Theoretic Data Analytics
IEEE Journal on Selected Areas in Communications, 2015Co-Authors: Kwang-cheng Chen, Shao-lun Huang, Lizhong Zheng, H. Vincent PoorAbstract:Widespread use of the Internet and social networks invokes the generation of big Data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of Data, Data Analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which Data is modeled as a generalized social network and communication theory and information theory are thereby extended to Data Analytics. First, the creation of an equalizer to optimize information transfer between two Data variables is considered, and financial Data is used to demonstrate the advantages. Then, an information coupling approach based on information geometry is applied for dimensionality reduction, with a pattern recognition example to illustrate the effectiveness. These initial trials suggest the potential of communication theoretic Data Analytics for a wide range of applications.
