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A methodology for multilayer networks analysis in the context of open and private data: biological application

Maria Malek, Simone Zorzan, Mohammad Ghoniem
2020 Applied Network Science  
We illustrate our methodology through a biological application where interactions between molecules are extracted from open databases and modelled by a multilayer network and where private data are collected  ...  We propose in this paper a methodology for multilayer network analysis in order to provide domain experts with measures and methods to understand, evaluate and complete their private data by comparing  ...  Acknowledgements Not applicable.  ... 
doi:10.1007/s41109-020-00277-z fatcat:5wm5l5t6lrcxjnusvvbzlypmhy

A Special issue on Multidisciplinary research to promote the applications in Biological sciences

Guest Editor Dr. M. Manikandan
2022 International Journal of Life Science and Pharma Research  
The papers in this special issue are broadly divided into the applications of Microbial biotechnology, Healthcare, Agriculture, Computer technology, Data science and Artificial Intelligence.  ...  It also includes papers on phytochemical screening of medicinal plants and also focuses on wireless sensor networks in health care applications.  ...  Acknowledgement The authors express their gratitude towards the host institution and Biozone, Chennai.  ... 
doi:10.22376/ijpbs/ijlpr/sp22/2022.1-154 fatcat:rcydgammlzgodof3kw3fcdgpji

A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health

Supriya M., Vijay Kumar Chattu
2021 Big Data and Cognitive Computing  
In the context of a newly published study, the potential benefits of sophisticated data analytics and machine learning are discussed in this review.  ...  ML algorithms can also analyze large amounts of data called Big data through electronic health records for disease prevention and diagnosis.  ...  The major goal of integrating blockchain and deep neural networks is for the model to accept input data from each patient in the distributed network and identify a specific health problem of the patient  ... 
doi:10.3390/bdcc5030041 fatcat:x25hkk3fxnbtll7cofmikpys3i

Chatbots Employing Deep Learning for Big Data

This paper has proposed the Chatbot to handle the big data in a manageable time.  ...  Some of the deep Neural networks utilized for this till now are Stacked Auto-Encoder, sparse auto-encoders, predictive sparse and denoising auto-encoders.  ...  Therefore, it is suggested a methodology for the adoption of Big Data and a model of maturity for it. Xindong Wu et al.  ... 
doi:10.35940/ijitee.i8017.0981119 fatcat:eszidvr2gndafbomcxvkhnhyiu

Predicting Personality Traits Using Smartphone Sensor Data and App Usage Data

Naveen K. Kambham, Kevin G. Stanley, Scott Bell
2018 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)  
Being able to extract a personal profile or personality type from data directly obtainable from a mobile phone without participant interaction could have applications for marketing or for initiating social  ...  In this work, we attempt to model a particularly salient and well-established personality inventory, the Big Five framework [48] .  ...  From a practical perspective the neural network model could be useful in error tolerant applications, and as a starting point for future research.  ... 
doi:10.1109/iemcon.2018.8614854 fatcat:dqfdyzjbtber5mog7rpdbqlplu

Digital data archives as knowledge infrastructures: Mediating data sharing and reuse

Christine L. Borgman, Andrea Scharnhorst, Milena S. Golshan
2019 Journal of the Association for Information Science and Technology  
Peter Doorn, Director of DANS, graciously opened the doors, physically and digitally, for these investigations, and provided Andrea Scharnhost's time for the project.  ...  Ashley Sands, Peter Darch, Irene Pasquetto, and Bernadette Boscoe also offered guidance in project design, data analysis, and comments on drafts.  ...  DANS mediates between contributors and consumers in the cases of locked files. This is also a multilayered relationship.  ... 
doi:10.1002/asi.24172 fatcat:kgh4viv2pve2jotzmptxihi7la

Big Data analytics and Computational Intelligence for Cyber–Physical Systems: Recent trends and state of the art applications

Rahat Iqbal, Faiyaz Doctor, Brian More, Shahid Mahmud, Usman Yousuf
2017 Future generations computer systems  
State of the art research and novel applications in health-care, intelligent transportation and social network sentiment analysis, are presented and discussed in the context of Big data, Cyber Physical  ...  We provide a comprehensive survey of computational intelligence techniques appropriate for the effective processing and analysis of big data.  ...  Moreover, there is an inherent need in real life applications for high-speed storage, processing of data and retrieval of the corresponding analysis results.  ... 
doi:10.1016/j.future.2017.10.021 fatcat:pi3b5pnxf5g23ezwq345kpwmfu

The Role of Big Data in Aging and Older People's Health Research: A Systematic Review and Ecological Framework

Xinyue Zhang, Xiaolu Gao, Danxian Wu, Zening Xu, Hongjie Wang
2021 Sustainability  
However, current studies are still limited within a single subject, rather than flourished as interdisciplinary research in the context of big data.  ...  When embedding big data as a data product, analysis tool, and resolution service into different spatial, temporal, and organizational scales of aging processes, it would present as a connection, integration  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/su132111587 fatcat:z323ldj2mbblvb3thkdzco2eaa

Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation

Adam Amara, Clément Frainay, Fabien Jourdan, Thomas Naake, Steffen Neumann, Elva María Novoa-del-Toro, Reza M Salek, Liesa Salzer, Sarah Scharfenberg, Michael Witting
2022 Frontiers in Molecular Biosciences  
Then, we present the state of the art of network-based methods for mass spectrometry-based metabolomics data analysis, as well as future developments expected in this area.  ...  In this review, we first aim at settling a nomenclature and formalism to avoid confusion when referring to different networks used in the field of metabolomics.  ...  ., and Ghoniem, M. (2020). A Methodology for Multilayer Networks Analysis in the Context of Open and Private Data: Biological Application. Appl. Netw.  ... 
doi:10.3389/fmolb.2022.841373 pmid:35350714 pmcid:PMC8957799 fatcat:7teponhsdvhezny25s5mvrpioy

Big data in healthcare: management, analysis and future prospects

Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma, Sandeep Kaushik
2019 Journal of Big Data  
An efficient management, analysis, and interpretation of big data can change the game by opening new avenues for modern healthcare.  ...  It has become a topic of special interest for the past two decades because of a great potential that is hidden in it.  ...  Acknowledgements Not applicable. 1  ... 
doi:10.1186/s40537-019-0217-0 fatcat:6yb7kk5ervaqhjt6lhe3utkivq

Study of Time Series Data Mining for the Real Time Hydrological Forecasting: A Review

Satanand Mishra, C. Saravanan, V. K. Dwivedi
2015 International Journal of Computer Applications  
The wide use of hydrological time series data has initiated a great deal of research and development attempts in the field of data mining.  ...  Researchers are developed models for runoff forecasting using the data mining tools and techniques like regression analysis, clustering, artificial neural network (ANN), and support vector machine (SVM  ...  Fuzzy system was applied for opening and closing of the Dam gate.  ... 
doi:10.5120/20692-3581 fatcat:v3vfg7a4wfgwxfdgxdgvlhvrfq

Measuring discrimination in algorithmic decision making

Indrė Žliobaitė
2017 Data mining and knowledge discovery  
The seminar centered around topics in machine learning, signal processing and data analysis, covering fundamental theoretical aspects as well as recent applications, partially in the frame of innovative  ...  Citation for published version (APA): Biehl, M. (2018) . The Statistical Physics of Learning (in a nutshell): News from the stoneage of neural networks. 23-23.  ...  Acknowledgments We would like to thank the reviewers for their time and patience.  ... 
doi:10.1007/s10618-017-0506-1 fatcat:iptjdkceqne6lisu52nyuu6cci

Predicting the outcomes of the Korean national accreditation system for higher education institutions: a method using disclosure data for outsiders

Don Dong-hyun Lee, Soon-jeong Cho
2021 Asia Pacific Education Review  
To best predict the outcomes, we mapped out a threefold discrete model combining logistic regression, discriminant analysis, and neural network.  ...  HEIs in other nations to check their preparedness and likelihood of success within similar contexts.  ...  , New Zealand, for their valuable insights and useful comments in the improvement of this paper. analyses.  ... 
doi:10.1007/s12564-021-09710-z fatcat:eayiymyspzfpthqccvsqp2qkze

A review of the ecosystem concept — Towards coherent ecosystem design

Masaharu Tsujimoto, Yuya Kajikawa, Junichi Tomita, Yoichi Matsumoto
2017 Technological forecasting & social change  
This perspective expands the range of analysis to include a variety of actors in addition to private companies.  ...  A B S T R A C T The ecosystem concept is of increasing significance in the field of the management of technology and innovation.  ...  Acknowledgment This work was supported by JSPS KAKENHI Grant Numbers 26285079, 26380507, 25780244 and by Research Institute of Science and Technology for Society (RISTEX) of Japan Science and Technology  ... 
doi:10.1016/j.techfore.2017.06.032 fatcat:lzrqxfffvzgm3ol34kleyfcwyq

Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector

Leonid Gokhberg, Ilya F. Kuzminov, Pavel Bakhtin, Elena Tochilina, Alexander Chulok, Anton Timofeev, Alina Lavrynenko
2017 Social Science Research Network  
It discusses the wide context of the task of identifying emerging technologies in a systemic and timely manner, including its place in the methodology of foresight and future-oriented technology analysis  ...  The opportunities of the new big-data-augmented methodology are shown in comparison to existing results, both globally and in Russia.  ...  and metadata of around 2 million of internationally top cited research papers for 10 years period, acquired from the open citation indexes and other open data sources;  stratified random sample of summaries  ... 
doi:10.2139/ssrn.3078499 fatcat:o6ver5pxordcnmyoehokv5vuqa
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