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A Technology for BigData Analysis Task Description Using Domain-specific Languages
2014
Procedia Computer Science
The article presents a technology for dynamic knowledge-based building of Domain-Specific Languages (DSL) to describe data-intensive scientific discovery tasks using BigData technology. ...
The proposed technology supports high level abstract definition of analytic and simulation parts of the task as well as integration into the composite scientific solutions. ...
Acknowledgements: This work was financially supported by Government of Russian Federation, Grant 074-U01; Grant for the Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS ...
doi:10.1016/j.procs.2014.05.044
fatcat:si4yex7si5hk3cp67dwf7bkrsq
A Hadoop based Maching Learning Technique for Semantic Indexing of Learning Objects in Big Data Environment
2019
International Journal of Advanced Trends in Computer Science and Engineering
The link between BIGDATA & Machine learning exists today via digital analytics which is interested in taking advantage of these techniques to locate a specific resource or to make managerial decisions ...
Our solution is used to answer this problem through various techniques of HADOOP for BIG DATA and MACHINE LEARNING. ...
for discovering data models and apply BIGDATA tools and analysis techniques [33] , [6] . ...
doi:10.30534/ijatcse/2019/63852019
fatcat:mfddamza7fhddbnjwwx6oorpoy
The Prototype for Implementation of Security Issue in Big Data Application using Hadoop Server
2016
International Journal of Computer Applications
A large amount of data can be referred as BigData. A vast size of data requires special kind of methodology to process and store. ...
BigData research consortium team developed a distributed server known as Hadoop Server, to divide and partition large data into multiple pieces for fast and efficient processing. ...
SOLUTION DOMAIN The BigData as a large amount of data reflect a new technology for consortium and become one of the trending researches today. ...
doi:10.5120/ijca2016910844
fatcat:c4md7w7bo5hdnm5sty4z6wfma4
AI User Support System for SAP ERP
2017
Journal of Physics, Conference Series
It enables automatic replies on users' requests for support, saving time for problem analysis and resolution and improving responsiveness for end users. ...
The system is based on an ensemble of machine learning algorithms of multiclass text classification, providing efficient question understanding, and a special framework for evidence retrieval, providing ...
This approach allows A brief description of each algorithm used for classification is presented in the following section. ...
doi:10.1088/1742-6596/913/1/012001
fatcat:c4www2rynzcybeo3x2nws4qvoq
AN EFFICIENT FOG ENABLED HEALTHCARE MAINTENANCE SYSTEM USING INTERNET OF THINGS WITH DEEP LEARNING STRATEGIES
2021
Information Technology in Industry
This paper is intended to provide an intense healthcare maintenance scheme by using latest technologies such as Deep Learning, Internet of Things, Fog Computing and Artificial Intelligence. ...
For all this paper introduced a new logic of healthcare maintenance scheme IHAS to provide efficient support to patients as well as doctors in clear manner. ...
There are many use instances of BigData analysis. Nonetheless, in healthcare industry it is basic to have information driven suggestions that help all researchers. ...
doi:10.17762/itii.v9i1.184
fatcat:mugly6pzvfforkry56xssijkji
A Cyberinfrastructure for BigData Transportation Engineering
[article]
2018
arXiv
pre-print
This work proposes BoaT, a transportation-specific programming language, and it's Big Data infrastructure that is aimed at decreasing this barrier to entry. ...
Our evaluation that uses over two dozen research questions from six categories show that research is easier to realize as a BoaT computer program, an order of magnitude faster when this program is run, ...
The main components come as an integrated framework that provides a domain specific language for transportation data analysis, a data processing unit, and a storage strategy. ...
arXiv:1805.00105v1
fatcat:gvvk23fgfnehdmzlpanujhgwsa
Tiarrah Computing: The Next Generation of Computing
2017
International Journal of Informatics and Communication Technology (IJ-ICT)
Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. ...
Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. ...
This system can be designed to address complex event processing (CEP) by writing rules using a powerful and expressive domain specific language (DSL) for the multitude of the incoming sensor streams of ...
doi:10.11591/ijict.v6i2.pp129-138
fatcat:ek57nl7olvd4vguzhzeuttz2o4
Distributed Computing in a Pandemic: A Review of Technologies Available for Tackling COVID-19
[article]
2021
arXiv
pre-print
Several bigdata processing tasks used in reducing the spread of SARS-CoV-2 require high-throughput approaches, and a variety of tools, which Hadoop and Spark offer, even using commodity hardware. ...
drug-repurposing, and high-throughput gene analysis -- and Sentinel, an XPE-Cray based system used to explore natural products. ...
domain-specific metadata. ...
arXiv:2010.04700v3
fatcat:kxakuqjlyjfilbroj5nl55xgbq
Cognitive digital platforms of scientific education
2021
Mìždisciplìnarnì doslìdžennâ skladnih sistem
of a specific domainconceptualization of a specific knowledge area, represented by defining basic objects and connections between them. ...
The Web-software complex "Knowledge Base Ontological Scenarios Editor" for formalizing the process of preparation, conduct and assessment of learning outcomes using an e-scenario is presented. ...
It is used to reason about the properties of that domain and may be used to describe it. In theory, ontology is a formal, explicit specification of a shared conceptualization. ...
doi:10.31392/iscs.2021.19.035
fatcat:3m73bs4jgja2jl2ezwt5ut3kse
Tiarrah Computing: The Next Generation of Computing
2018
International Journal of Electrical and Computer Engineering (IJECE)
Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. ...
Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. ...
This system can be designed to address complex event processing (CEP) by writing rules using a powerful and expressive domain specific language (DSL) for the multitude of the incoming sensor streams of ...
doi:10.11591/ijece.v8i2.pp1247-1255
fatcat:zatbawb5bzhszmrmscaogjbjua
Integrating Big data and Cloud Computing Topics into the Computing Curricula: A modular Approach
2021
Journal of Parallel and Distributed Computing
ABSTRACT Big data and cloud computing collectively offer a paradigm shift in the way businesses are now acquiring, using, and managing information technology. ...
Our approach to including these topics is to develop autonomous competencybased learning modules for specific core courses in which their coverage might find an appropriate context. ...
ACKNOWLEDGMENTS
This research is supported by UNC Research Opportunities Initiative (ROI) award "Winston-Salem State University Center for Applied Data Science", FY2020 -2023 and NSF Award #1600864. ...
doi:10.1016/j.jpdc.2021.07.012
fatcat:egisnpzjdjgl7acclu5gqj5q3i
Problem Solving Environment for Development and Maintenance of St. Petersburg's Flood Warning System
2014
Procedia Computer Science
Tasks that arise during thes e processes could be much more resourceintensive than an operational loop of the system and may involve complex problems for research. ...
Thereby it is essential to have a special software tool to handle a collection of different models, data sources and auxiliary software that they could be combined in different ways according to a particular ...
Summarizing all that was said above it is clearly seen that such flexible distribut ed environment give us a wide range of possible methods and approaches to solve complex tasks for maintains the operational ...
doi:10.1016/j.procs.2014.05.152
fatcat:ettapfa25bawxj5q3cehz45wnm
Intelligent support tools for strategic decision-making on Smart Grid development
2018
E3S Web of Conferences
The main information technologies offered for their implementation are analyzed. It is proposed to include in this list intelligent technologies to support strategic energy development decisions,. ...
Three generations of such tools developed in a team headed by the authors are considered. The proposed Intellectual tools are based on the concepts of situational management and semantic modeling. ...
Expert system Advise is used for formation and analysis of these descriptions, and for generation of recommended solutions. ...
doi:10.1051/e3sconf/20186902009
fatcat:2b2eesk27vdddh3vpouqfvfpje
A Systematic Study of Data Wrangling
2018
International Journal of Information Technology and Computer Science
It is a method adapted for basic data management which is to be properly processed, shaped, and is made available for most convenient consumption of data by the potential future users. ...
The paper presents the theory, design, usage aspects of data wrangling process used in data ware housing and business intelligence. ...
The description of the dataset used for the wrangling process is also discussed. ...
doi:10.5815/ijitcs.2018.01.04
fatcat:gr2wyiwcjzejtawtcq4x4hh7fy
OPAL—The Toolbox for the Integration and Analysis of IoT in a Semantically Annotated Way
2021
Sensors
To support these steps, this paper introduces OPAL, a software toolbox consolidating several software components for the semantically annotated integration and analysis of IoT-data. ...
In addition, a unified management and execution environment, called PERMA, is introduced to allow the programming language independent integration of algorithms. ...
Acknowledgments: We would like to thank Julius Krause, Stefan Klaiber, Lucas Richter, Norbert Greifzu, Jürgen Metzler, Mickael Cormier and Hylke van der Schaaf for their work in the use cases enabling ...
doi:10.3390/s21124002
fatcat:koaobtojnrcmbcodqxcmd4njbq
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