Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics

2019 ◽  
Keyword(s):  
Mobile Computing ◽  
Network Architecture ◽  
Data Analytics

Knowledge-Driven, Data-Assisted Integrative Pathway Analytics

2011 ◽  
pp. 225-247
Author(s):  
Padmalatha S. Reddy ◽  
Stuart Murray ◽  
Wei Liu
Keyword(s):  
Data Analysis ◽  
Drug Discovery ◽  
Text Mining ◽  
Network Architecture ◽  
Data Analytics ◽  
Efficient Manner ◽  
Omics Technologies ◽  
Functional Process ◽  
Pathway Databases ◽  
Biomarker Selection

Target and biomarker selection in drug discovery relies extensively on the use of various genomics platforms. These technologies generate large amounts of data that can be used to gain novel insights in biology. There is a strong need to mine these information-rich datasets in an effective and efficient manner. Pathway and network based approaches have become an increasingly important methodology to mine bioinformatics datasets derived from ‘omics’ technologies. These approaches also find use in exploring the unknown biology of a disease or functional process. This chapter provides an overview of pathway databases and network tools, network architecture, text mining and existing methods used in knowledge-driven data analysis. It shows examples of how these databases and tools can be used integratively to apply existing knowledge and network-based approach in data analytics.

Research of Big Data Processing Platform

2014 ◽  
Vol 484-485 ◽  
pp. 922-926
Author(s):  
Xiang Ju Liu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Analysis ◽  
Network Architecture ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Big Data Analysis ◽  
Computing Platform ◽  
Operational Characteristics ◽  
Analysis Platform

This paper introduces the operational characteristics of the era of big data and the current era of big data challenges, and exhaustive research and design of big data analytics platform based on cloud computing, including big data analytics platform architecture system, big data analytics platform software architecture , big data analytics platform network architecture big data analysis platform unified program features and so on. The paper also analyzes the cloud computing platform for big data analysis program unified competitive advantage and development of business telecom operators play a certain role in the future.

Knowledge-Driven, Data-Assisted Integrative Pathway Analytics

2013 ◽  
pp. 173-194
Author(s):  
Padmalatha S. Reddy ◽  
Stuart Murray ◽  
Wei Liu
Keyword(s):  
Data Analysis ◽  
Drug Discovery ◽  
Text Mining ◽  
Network Architecture ◽  
Data Analytics ◽  
Efficient Manner ◽  
Omics Technologies ◽  
Functional Process ◽  
Pathway Databases ◽  
Biomarker Selection

Target and biomarker selection in drug discovery relies extensively on the use of various genomics platforms. These technologies generate large amounts of data that can be used to gain novel insights in biology. There is a strong need to mine these information-rich datasets in an effective and efficient manner. Pathway and network based approaches have become an increasingly important methodology to mine bioinformatics datasets derived from ‘omics’ technologies. These approaches also find use in exploring the unknown biology of a disease or functional process. This chapter provides an overview of pathway databases and network tools, network architecture, text mining and existing methods used in knowledge-driven data analysis. It shows examples of how these databases and tools can be used integratively to apply existing knowledge and network-based approach in data analytics.

A network architecture for heterogeneous mobile computing

1998 ◽  
Vol 5 (5) ◽  
pp. 8-24 ◽  
Author(s):  
E.A. Brewer ◽  
R.H. Katz ◽  
Y. Chawathe ◽  
S.D. Gribble ◽  
T. Hodes ◽  
...  
Keyword(s):  
Mobile Computing ◽  
Network Architecture

scholarly journals Abstraction of meso-scale network architecture in granular ensembles using ‘big data analytics’ tools

2018 ◽  
Vol 2 (3) ◽  
pp. 031004 ◽  
Author(s):  
Raj Kishore ◽  
R Krishnan ◽  
Manoranjan Satpathy ◽  
Zohar Nussinov ◽  
Kisor K Sahu
Keyword(s):  
Big Data ◽  
Network Architecture ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Scale Network ◽  
Meso Scale

scholarly journals Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Xiao Ma ◽  
Zie Wang ◽  
Sheng Zhou ◽  
Haoyu Wen ◽  
Yin Zhang
Keyword(s):  
Mobile Computing ◽  
Data Analytics ◽  
State Of The Art ◽  
Healthcare Services ◽  
Healthcare Systems ◽  
Healthcare Applications ◽  
Novel Technologies ◽  
Cognitive Power ◽  
Intelligent Healthcare ◽  
Learning Data

It is entering an era of big data, which facilitated great improvement in various sectors. Particularly, assisted by wireless communications and mobile computing, mobile devices have emerged with a great potential to renovate the healthcare industry. Although the advanced techniques will make it possible to understand what is happening in our body more deeply, it is extremely difficult to handle and process the big health data anytime and anywhere. Therefore, data analytics and mobile computing are significant for the healthcare systems to meet many technical challenges and problems that need to be addressed to realize this potential. Furthermore, the advanced healthcare systems have to be upgraded with new capabilities such as machine learning, data analytics, and cognitive power for providing human with more intelligent and professional healthcare services. To explore recent advances and disseminate state-of-the-art techniques related to data analytics and mobile computing on designing, building, and deploying novel technologies, to enable intelligent healthcare services and applications, this paper presents the detailed design for developing intelligent healthcare systems assisted by data analytics and mobile computing. Moreover, some representative intelligent healthcare applications are discussed to show that data analytics and mobile computing are available to enhance the performance of the healthcare services.

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