Relevant bibliographies by topics / Big Data Framework Background

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Big Data Framework Background'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Big Data Framework Background.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Big Data Framework Background"

1

Yi, Wenquan, Fei Teng, and Jianfeng Xu. "Noval Stream Data Mining Framework under the Background of Big Data." Cybernetics and Information Technologies 16, no. 5 (2016): 69–77. http://dx.doi.org/10.1515/cait-2016-0053.

Full text
Abstract:
Abstract Stream data mining has been a hot topic for research in the data mining research area in recent years, as it has an extensive application prospect in big data ages. Research on stream data mining mainly focuses on frequent item sets mining, clustering and classification. However, traditional steam data mining methods are not effective enough for handling high dimensional data set because these methods are not fit for the characteristics of stream data. So, these traditional stream data mining methods need to be enhanced for big data applications. To resolve this issue, a hybrid framew
APA, Harvard, Vancouver, ISO, and other styles
2

Song, Xiao, Yulin Wu, Yaofei Ma, Yong Cui, and Guanghong Gong. "Military Simulation Big Data: Background, State of the Art, and Challenges." Mathematical Problems in Engineering 2015 (2015): 1–20. http://dx.doi.org/10.1155/2015/298356.

Full text
Abstract:
Big data technology has undergone rapid development and attained great success in the business field. Military simulation (MS) is another application domain producing massive datasets created by high-resolution models and large-scale simulations. It is used to study complicated problems such as weapon systems acquisition, combat analysis, and military training. This paper firstly reviewed several large-scale military simulations producing big data (MS big data) for a variety of usages and summarized the main characteristics of result data. Then we looked at the technical details involving the
APA, Harvard, Vancouver, ISO, and other styles
3

Tan, Zhen, Yi Fan Chen, Zhong Lin Shi, et al. "A Distributed Processing Framework of Incremental Text Clustering under the Background of Big Data." Advanced Materials Research 1049-1050 (October 2014): 1421–26. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1421.

Full text
Abstract:
In the era of big data, due to the rapid expansion of the data, the existing incremental text clustering algorithm has the drawback that the efficiency of algorithm will sharp decline with the time and data volume increasing. Because of poor timeliness and robustness, the algorithms are hard to be applied in practice. In this paper, we propose a distributed model framework of Single-Pass algorithm based on MapReduce, the experiments result of increment text cluster is accuracy, the algorithm effectively improve the computing efficiency of the algorithm and real-time of result. Algorithm has a
APA, Harvard, Vancouver, ISO, and other styles
4

Ji, Zhendong. "Framework and Key Technology Review of Big Data Analysis in the Social Network Background." International Journal of Database Theory and Application 9, no. 6 (2016): 171–80. http://dx.doi.org/10.14257/ijdta.2016.9.6.17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Amare, Meseret Yihun, and Stanislava Simonova. "Learning analytics for higher education: proposal of big data ingestion architecture." SHS Web of Conferences 92 (2021): 02002. http://dx.doi.org/10.1051/shsconf/20219202002.

Full text
Abstract:
Research background: Higher education institutions are generating multiple formats of data from diverse sources across the globe. The data ingestion layer is responsible for collecting data and transform for analysis. Learning analytics plays a vital role in providing decision-making support and selection of suitable timely intervention. The lack of tailored big-data ingestion architectures for academics led to several implementation challenges. Purpose of the article: The purpose of this article is to propose data ingestion architecture enabled for big data learning analytics. Methods: The st
APA, Harvard, Vancouver, ISO, and other styles
6

Xie, Heng Yuan. "Study on Tourism Electronic Platform Based on Large Data Background." Applied Mechanics and Materials 686 (October 2014): 180–84. http://dx.doi.org/10.4028/www.scientific.net/amm.686.180.

Full text
Abstract:
A big scale data poses a great challenge to data storage, management and data analysis. This article analyzes the basic concepts of large data, and mainly used on large data makes the simple contrast. And paper put forward a platform of regional characteristics based on electronic business information publishing system. Finally the paper gives general model and the realization of the platform structure, key technology and process. The platform uses conversion technology of StrutsCX framework based on J2EE platform and the XSLT parsing template of XML document tree that generates and provide au
APA, Harvard, Vancouver, ISO, and other styles
7

Dong, Aimei, and Qian Gao. "Framework of the Teaching Process Based on Machine Learning and Innovation Ability Cultivation in Big Data Background." Journal of Physics: Conference Series 1992, no. 4 (2021): 042069. http://dx.doi.org/10.1088/1742-6596/1992/4/042069.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Vinod, D. Franklin, and V. Vasudevan. "LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification." Current Medical Imaging Formerly Current Medical Imaging Reviews 15, no. 2 (2019): 227–36. http://dx.doi.org/10.2174/1573405613666170721103949.

Full text
Abstract:
Background: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major challenges in Big data analysis are due to increase of volume, variety, and velocity. The capturing of images with multi-directional views initiates the image set classification which is an attractive research study in the volumetricbased medical image processing. Methods: This paper proposes the Local N-ary Ternary Patterns (LNTP) and Modified Deep Be
APA, Harvard, Vancouver, ISO, and other styles
9

Alkhalil, Adel. "Decision support model to adopt big data analytics in higher education systems." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 6 (2021): 67–78. http://dx.doi.org/10.21833/ijaas.2021.06.008.

Full text
Abstract:
Data science or specifically data analytics systems have become an emerging trend in information technology and have attracted many organizations, including higher education. Higher Education Systems (HES) involve very active entities (students, faculty members, researchers, employers) who generate and require large volumes of data that go beyond the structured data stored in the house. The collection, analysis, and visualization of such big data present a huge challenge for HES. Big data analysis could be the solution to this challenge. However, the rationale and decision process for the adop
APA, Harvard, Vancouver, ISO, and other styles
10

Abraham, Cerene Mariam, Mannathazhathu Sudheep Elayidom, and Thankappan Santhanakrishnan. "Big Data Analysis for Trend Recognition Using Machine Learning Techniques." International Journal of Sensors, Wireless Communications and Control 10, no. 4 (2020): 540–50. http://dx.doi.org/10.2174/2210327910666200304141238.

Full text
Abstract:
Background: Machine learning is one of the most popular research areas today. It relates closely to the field of data mining, which extracts information and trends from large datasets. Aims: The objective of this paper is to (a) illustrate big data analytics for the Indian derivative market and (b) identify trends in the data. Methods: Based on input from experts in the equity domain, the data are verified statistically using data mining techniques. Specifically, ten years of daily derivative data is used for training and testing purposes. The methods that are adopted for this research work in
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Big Data Framework Background"

1

Ainslie, Mandi. "Big data and privacy : a modernised framework." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/59805.

Full text
Abstract:
Like the revolutions that preceded it, the Fourth Industrial Revolution has the potential to raise global income levels and improve the quality of life for populations around the world. Responding to global challenges, generating efficiencies, prediction improvement, democratisation access to information and empowering individuals are a few examples of the economic and social value created by personal information. However, this technological innovation, efficiency and productivity comes at a price -?privacy. As a result, individuals are growingly concerned that companies and governments are n
APA, Harvard, Vancouver, ISO, and other styles
2

Su, Yu. "Big Data Management Framework based on Virtualization and Bitmap Data Summarization." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1420738636.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Teske, Alexander. "Automated Risk Management Framework with Application to Big Maritime Data." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38567.

Full text
Abstract:
Risk management is an essential tool for ensuring the safety and timeliness of maritime operations and transportation. Some of the many risk factors that can compromise the smooth operation of maritime activities include harsh weather and pirate activity. However, identifying and quantifying the extent of these risk factors for a particular vessel is not a trivial process. One challenge is that processing the vast amounts of automatic identification system (AIS) messages generated by the ships requires significant computational resources. Another is that the risk management process partially r
APA, Harvard, Vancouver, ISO, and other styles
4

Jayapandian, Catherine Praveena. "Cloudwave: A Cloud Computing Framework for Multimodal Electrophysiological Big Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405516626.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bock, Matthew. "A Framework for Hadoop Based Digital Libraries of Tweets." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78351.

Full text
Abstract:
The Digital Library Research Laboratory (DLRL) has collected over 1.5 billion tweets for the Integrated Digital Event Archiving and Library (IDEAL) and Global Event Trend Archive Research (GETAR) projects. Researchers across varying disciplines have an interest in leveraging DLRL's collections of tweets for their own analyses. However, due to the steep learning curve involved with the required tools (Spark, Scala, HBase, etc.), simply converting the Twitter data into a workable format can be a cumbersome task in itself. This prompted the effort to build a framework that will help in developing
APA, Harvard, Vancouver, ISO, and other styles
6

Orenga, Roglá Sergio. "Framework for the Implementation of a Big Data Ecosystem in Organizations." Doctoral thesis, Universitat Jaume I, 2017. http://hdl.handle.net/10803/481983.

Full text
Abstract:
The core of this Ph.D. thesis is the development of a framework that serves as a guide for implementing ecosystems based on Big Data and Web 2.0 technologies in organizations. Unlike existing frameworks, this framework not only considers operations to be performed with data, but also takes into account other aspects related to the implementation, such as technical, political, cultural, behavioral, etc. In addition, the main axis of the framework consists of a methodology that guides in detail all the necessary steps to make a correct implementation. In order to debug and validate the framework
APA, Harvard, Vancouver, ISO, and other styles
7

Sweeney, Michael John. "A framework for scoring and tagging NetFlow data." Thesis, Rhodes University, 2019. http://hdl.handle.net/10962/65022.

Full text
Abstract:
With the increase in link speeds and the growth of the Internet, the volume of NetFlow data generated has increased significantly over time and processing these volumes has become a challenge, more specifically a Big Data challenge. With the advent of technologies and architectures designed to handle Big Data volumes, researchers have investigated their application to the processing of NetFlow data. This work builds on prior work wherein a scoring methodology was proposed for identifying anomalies in NetFlow by proposing and implementing a system that allows for automatic, real-time scoring th
APA, Harvard, Vancouver, ISO, and other styles
8

Mgudlwa, Sibulela. "A big data analytics framework to improve healthcare service delivery in South Africa." Thesis, Cape Peninsula University of Technology, 2018. http://hdl.handle.net/20.500.11838/2877.

Full text
Abstract:
Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2018.<br>Healthcare facilities in South Africa accumulate big data, daily. However, this data is not being utilised to its full potential. The healthcare sector still uses traditional methods to store, process, and analyse data. Currently, there are no big data analytics tools being used in the South African healthcare environment. This study was conducted to establish what factors hinder the effective use of big data in the South African healthcare environment. To fulfil the objectives of this research, qualita
APA, Harvard, Vancouver, ISO, and other styles
9

Lakoju, Mike. "A strategic approach of value identification for a big data project." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15837.

Full text
Abstract:
The disruptive nature of innovations and technological advancements present potentially huge benefits, however, it is critical to take caution because they also come with challenges. This author holds fast to the school of thought which suggests that every organisation or society should properly evaluate innovations and their attendant challenges from a strategic perspective, before adopting them, or else could get blindsided by the after effects. Big Data is one of such innovations, currently trending within industry and academia. The instinctive nature of Organizations compels them to consta
APA, Harvard, Vancouver, ISO, and other styles
10

Forresi, Chiara. "Un framework per l'analisi di big data con elevata eterogeneità all'interno di multistore." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21411/.

Full text
Abstract:
I big data sono caratterizzati dalle ben note 4v: volume, velocità, veracità e varietà. Quest'ultima risulta di importanza critica nei sistemi schema-less, dove il concetto di schema non è rigido. In questo contesto rientrano i database NoSQL, i quali offrono modelli dati diversi dal classico modello dati relazionale, ovvero: documentale, wide-column, grafo e key-value. Si parla di multistore quando ci si riferisce all'uso di database con modelli dati diversi che vengono esposti con un'unica interfaccia di interrogazione, sia per sfruttare caratteristiche di un modello dati che per le maggior
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Big Data Framework Background"

1

Choo, Kim-Kwang Raymond, and Darren Quick. Big Digital Forensic Data : Volume 1: Data Reduction Framework and Selective Imaging. Springer, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Choo, Kim-Kwang Raymond, and Darren Quick. Big Digital Forensic Data : Volume 1: Data Reduction Framework and Selective Imaging. Springer, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Househ, Mowafa, Andre W. Kushniruk, and Elizabeth M. Borycki. Big Data, Big Challenges : A Healthcare Perspective: Background, Issues, Solutions and Research Directions. Springer, 2019.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Saporito, Patricia L. Applied Insurance Analytics: A Framework for Driving More Value from Data Assets, Technologies, and Tools. Pearson Higher Education & Professional Group, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information Into Intelligence. Pearson FT Press, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

A, Prych Edmund, Washington (State). Dept. of Ecology, and Geological Survey (U.S.), eds. Data and statistical summaries of background concentrations of metals in soils and streambed sediments in part of Big Soos Creek drainage Basin, King County, Washington. U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

A, Prych Edmund, Washington (State). Dept. of Ecology., and Geological Survey (U.S.), eds. Data and statistical summaries of background concentrations of metals in soils and streambed sediments in part of Big Soos Creek drainage Basin, King County, Washington. U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bhopal, Raj S. Variation in disease by time, place, and person: Background and a framework for analysis of genetic and environmental effects. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198739685.003.0003.

Full text
Abstract:
Diseases wax and wane in their population frequency. The underlying reasons are often difficult to detect and may remain a mystery. The principles behind the investigation of clusters, outbreaks, epidemics, and inequalities in both of communicable and non-communicable diseases, are similar. On those occasions when the mystery is solved we tend to gain huge insights, both scientific and practical to help in disease control. Disease variations are often, however, artefactual, and arise from data errors. A systematic approach to the analysis of variation in disease begins by differentiating artef
APA, Harvard, Vancouver, ISO, and other styles
9

Kuner, Christopher, Lee A. Bygrave, Christopher Docksey, and Laura Drechsler, eds. The EU General Data Protection Regulation (GDPR). Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198826491.001.0001.

Full text
Abstract:
This new book provides an article-by-article commentary on the new EU General Data Protection Regulation. Adopted in April 2016 and applicable from May 2018, the GDPR is the centrepiece of the recent reform of the EU regulatory framework for protection of personal data. It replaces the 1995 EU Data Protection Directive and has become the most significant piece of data protection legislation anywhere in the world. This book is edited by three leading authorities and written by a team of expert specialists in the field from around the EU and representing different sectors (including academia, th
APA, Harvard, Vancouver, ISO, and other styles
10

Vrabec, Helena U. Data Subject Rights under the GDPR. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198868422.001.0001.

Full text
Abstract:
In 2018, the GDPR started a revolution in the data protection world. One of the most far-reaching developments of the new regulation was the chapter on data subject rights. Old rights were strengthened and extended, and several new rights were introduced. For data subjects who felt overwhelmed with the information overload, the GDPR meant a promise of more individual control over data. In combination with severe financial penalties, the revised rights brought the potential to become a vehicle of data protection law enforcement. However, there are still many uncertainties related to data subjec
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Big Data Framework Background"

1

Liu, Feng, Weiwei Guo, and Hui Wang. "Framework Model of Personalized Learning Recommendation System Based on Deep Learning Under the Background of Big Data." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3250-4_146.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tarnowska, Katarzyna, Zbigniew W. Ras, and Lynn Daniel. "Background." In Studies in Big Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13438-9_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gaber, Mohamed Medhat, Frederic Stahl, and João Bártolo Gomes. "Background." In Studies in Big Data. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02711-1_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Yang, DongJu, and ChenYang Xu. "A Distributed Scheduling Framework of Service Based ETL Process." In Big Data. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1899-7_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Shah, Purnima, and Sanjay Chaudhary. "Big Data Analytics Framework for Spatial Data." In Big Data Analytics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04780-1_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Gaber, Mohamed Medhat, Frederic Stahl, and João Bártolo Gomes. "Pocket Data Mining Framework." In Studies in Big Data. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02711-1_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Jeyaraj, Rathinaraja, Ganeshkumar Pugalendhi, and Anand Paul. "Hadoop Framework." In Big Data with Hadoop MapReduce. Apple Academic Press, 2020. http://dx.doi.org/10.1201/9780429321733-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Leke, Collins Achepsah, and Tshilidzi Marwala. "Deep Learning Framework Analysis." In Studies in Big Data. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01180-2_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Casturi, Rao, and Rajshekhar Sunderraman. "Distributed Financial Calculation Framework on Cloud Computing Environment." In Big Data Analytics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04780-1_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zhao, Dongdong, Wenjian Luo, and Lihua Yue. "Reconstructing Positive Surveys from Negative Surveys with Background Knowledge." In Data Mining and Big Data. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40973-3_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Big Data Framework Background"

1

Zhu, Guihua, and Haiyun Peng. "Multimedia Intervention and Big Data Analysis Framework of English Online Guiding Connection under the Internet Background." In 2020 International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2020. http://dx.doi.org/10.1109/icosec49089.2020.9215395.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

"Eric" Hu, Tao, Hua Dai, and Ping Zhang. "Developing a Big Data Success Model in Organizations: A Grounded Theory Method [Abstract]." In InSITE 2021: Informing Science + IT Education Conferences. Informing Science Institute, 2021. http://dx.doi.org/10.28945/4772.

Full text
Abstract:
Aim/Purpose: In spite of the insights in paving solid grounds and avenues for meaningful studies, the predicament of the literature in lacking fruitful understanding of the critical success factors and models of Big Data remain elusive and unexplored. A systematic literature review of research topics, perspectives, and substantial findings of Big Data is needed, so an overarching framework of Big Data success can be developed to integrate findings and systematically guide future research for advancing IS theoretical and practical progressing. Background: This study (1) uses the grounded theory
APA, Harvard, Vancouver, ISO, and other styles
3

Block, Shannon, Steven Munkeby, and Samuel Sambasivam. "An Empirical Examination of the Effects of CTO Leadership on the Alignment of the Governance of Big Data and Information Security Risk Management Effectiveness." In InSITE 2021: Informing Science + IT Education Conferences. Informing Science Institute, 2021. http://dx.doi.org/10.28945/4763.

Full text
Abstract:
Aim/Purpose: Board of Directors seek to use their big data as a competitive advantage. Still, scholars note the complexities of corporate governance in practice related to information security risk management (ISRM) effectiveness. Background: While the interest in ISRM and its relationship to organizational success has grown, the scholarly literature is unclear about the effects of Chief Technology Officers (CTOs) leadership styles, the alignment of the governance of big data, and ISRM effectiveness in organizations in the West-ern United States. Methodology: The research method selected for t
APA, Harvard, Vancouver, ISO, and other styles
4

Shafiei, Somayeh B., and Khurshid A. Guru. "Use of Numerical-Clustering Framework for End-Effector Tracking During Robot-Assisted Surgery." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67616.

Full text
Abstract:
Imaging plays an important role in all clinical processes. One challenge in medical image data processing is detection and tracking objects and instruments, which faces complications arising from the developed medical image acquisition systems and also the nature of in-vivo medical images. Special properties of the in-vivo bio images such as noise, specular highlights, inhomogeneity, heterogeneity, varying luminosity, and background change, in addition to the changes of camera, out of camera view tools, and multiple moving tools (instrument tools, surgical suture, cutting instrument, tissue mo
APA, Harvard, Vancouver, ISO, and other styles
5

Stohrmann, Soren, Vera Kamp, and Reinhard Moratz. "The Conceptual Background of OPTIMIST’s AI Module." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006443.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tekiner, Firat, and John A. Keane. "Big Data Framework." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.258.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wang, Jianhua. "Computer Data Processing Mode under Big Data Background." In 2018 International Conference on Robots & Intelligent System (ICRIS). IEEE, 2018. http://dx.doi.org/10.1109/icris.2018.00089.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Choubey, Suresh, Ryan Benton, and Tom Johnsten. "Prescriptive Equipment Maintenance: A Framework." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006213.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Gyurjyan, V., A. Bartle, C. Lukashin, S. Mancilla, R. Oyarzun, and A. Vakhnin. "Component based dataflow processing framework." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363971.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Iosifidis, Vasileios, Besnik Fetahu, and Eirini Ntoutsi. "FAE: A Fairness-Aware Ensemble Framework." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006487.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Big Data Framework Background"

1

Brian J. Quiter, Lavanya Ramakrishnan, and Mark S. Bandstra. GRDC. A Collaborative Framework for Radiological Background and Contextual Data Analysis. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1235086.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Brave, Scott A., R. Andrew Butters, and Michael Fogarty. The perils of working with Big Data and a SMALL framework you can use to avoid them. Federal Reserve Bank of Chicago, 2020. http://dx.doi.org/10.21033/wp-2020-35.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bednar, Amy. Topological data analysis : an overview. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40943.

Full text
Abstract:
A growing area of mathematics topological data analysis (TDA) uses fundamental concepts of topology to analyze complex, high-dimensional data. A topological network represents the data, and the TDA uses the network to analyze the shape of the data and identify features in the network that correspond to patterns in the data. These patterns extract knowledge from the data. TDA provides a framework to advance machine learning’s ability to understand and analyze large, complex data. This paper provides background information about TDA, TDA applications for large data sets, and details related to t
APA, Harvard, Vancouver, ISO, and other styles
4

Saville, Alan, and Caroline Wickham-Jones, eds. Palaeolithic and Mesolithic Scotland : Scottish Archaeological Research Framework Panel Report. Society for Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.06.2012.163.

Full text
Abstract:
Why research Palaeolithic and Mesolithic Scotland? Palaeolithic and Mesolithic archaeology sheds light on the first colonisation and subsequent early inhabitation of Scotland. It is a growing and exciting field where increasing Scottish evidence has been given wider significance in the context of European prehistory. It extends over a long period, which saw great changes, including substantial environmental transformations, and the impact of, and societal response to, climate change. The period as a whole provides the foundation for the human occupation of Scotland and is crucial for understan
APA, Harvard, Vancouver, ISO, and other styles
5

Gordon, Shannon, and Alison Hitchens. Library Impact Practice Brief: Supporting Bibliometric Data Needs at Academic Institutions. Association of Research Libraries, 2020. http://dx.doi.org/10.29242/brief.waterloo2020.

Full text
Abstract:
This practice brief presents research conducted by staff at the University of Waterloo Library as part of the library’s participation in ARL’s Research Library Impact Framework initiative. The research addressed the question, “How can research libraries support their campus community in accessing needed bibliometric data for institutional-level purposes?” The brief explores: service background, partners, service providers and users, how bibliometric data are used, data sources, key lessons learned, and recommended resources.
APA, Harvard, Vancouver, ISO, and other styles
6

Solovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.

Full text
Abstract:
t.The development of global agricultural production and food trade in recent decades implies a digital transformation and the transition to a new technological order, which is an essential factor for sustainable development. Digitalization of agriculture and the food sector is carried out on the basis of IT 2 platforms, the Internet of Things, cloud computing, big data, artificial intelligence, and blockchain technology. Fragmented and unclear legal mechanisms, slow updating of legal regulation hinder the introduction of digital solutions. A modern regulatory framework based on digital strateg
APA, Harvard, Vancouver, ISO, and other styles
7

Solovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.

Full text
Abstract:
Modern agricultural production and food trade are involved in the process of digital transformation, which is a cardinal factor of sustainable development and is carried out on the basis of IT platforms, the Internet of Things, cloud computing, big data, artificial intelligence, blockchain technologies. The COVID-19 pandemic has increased the dependence of these sectors of the economy on information and communication technology infrastructure and services. At the same time, the slow updating of legislation, which lags behind the constantly improving digital technologies, not only hinders their
APA, Harvard, Vancouver, ISO, and other styles
8

de Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.

Full text
Abstract:
Heavy minerals (HMs) are minerals with a specific gravity greater than 2.9 g/cm3. They are commonly highly resistant to physical and chemical weathering, and therefore persist in sediments as lasting indicators of the (former) presence of the rocks they formed in. The presence/absence of certain HMs, their associations with other HMs, their concentration levels, and the geochemical patterns they form in maps or 3D models can be indicative of geological processes that contributed to their formation. Furthermore trace element and isotopic analyses of HMs have been used to vector to mineralisatio
APA, Harvard, Vancouver, ISO, and other styles
9

NIST Big Data Interoperability Framework:. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.sp.1500-10r1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

NIST Big Data Interoperability Framework:. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.sp.1500-1r2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Big Data Framework Background' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography