Big data is an exciting prospect for the field of economic history, which has long depended on the acquisition, keying, and cleaning of scarce numerical information about the past. Third, technologies used for big data having low cost. Citescore values are based on citation counts in a given year. Big data in economic history the journal of economic. Coordinator, institute of doctoral studies bucharest. Jafar raza alam et al, international journal of computer science and mobile computing, vol. Perspectives on big data and big data analytics elena geanina ularu, florina camelia puican, anca apostu, manole velicanu 1phd. Most industries are aware that data analysis is increasingly important to be competitive in discovering new knowledge and personalizing services. We have largeenough data in our hand, this available data. Artificial intelligence describes computational approaches to deal with. Emerging technologies are recommended as a solution for big data problems. The most downloaded articles from big data research in the last 90 days. Big data plays a serious role within the business for creating higher predictions over business information that is collected from the real world. Technological advances introduce the possibility that, in the future, firms will be able to use big data analysis to discover and offer consumers their individual reservation price i.
Read more about the journal s abstract and indexing on the about page. Big data is defined not just by the amount of information involved but also its variety and. May 19, 2016 it is highly expected to explore the power of big data and turn big data into big values. Security of big data can be enhanced by using the techniques of authentication, authorization, and en cryption. Ai innovation in industry is a new department for ieee intelligent systems, and this paper examines some of the basic concerns. Finance is that the new sector wherever the big data technologies like hadoop, nosql are creating its. Big data analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning. Related journals for big data future generation computer systems, information sciences, neurocomputing. Big data has the potential to generate more revenue, while reducing risk and predicting future outcomes international journal of advances in electronics and computer science, issn. Student, institute of doctoral studies bucharest 4phd.
In the past few years, the research in the field of analytics big data has piled up and has led to an exponential. In precise, big data requires clean, process and analysis, security, and granular access to the massively evolving datasets 1, 2. International journal of advanced research in computer and. Statistics resources and big data on the internet 2020.
Informatics engineering, an international journal ieij, vol. Big data analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems. The implication of big data goes well beyond the above. A network with maxout activation has a higher number of trainable p.
For the past 5 weeks january 20february 24, the cecc has rapidly produced and implemented a list of at least 124 action items etable in the supplement including border. Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and. Artificial intelligence and big data ieee journals. Aug 14, 2019 big data analytics is pleased to announce a call for papers for a new article collection of original, unpublished, and novel indepth research that makes significant methodological or application contributions to the field of visualization, interpretation and descriptive big data science. Additionally, it opens a new horizon for researchers to develop the solution, based on the challenges and open. An industrial big data pipeline for datadriven analytics maintenance applications in largescale. Therefore, information security is becoming a big data analytics problem. Submit a paper subscriberenew all issues reprintseprints. To guide the selection of a suitable clustering algorithm with respect to the velocity property shows the criteria and complexity of algorithm. Introduction big data is associated with large data sets and the size is above the flexibility of common. Challenges include but are by no means limited to access to and quality of big data, the mechanics of data warehousing, and indeed how to make sense of big data to gain useful insights. The journal examines the challenges facing big data today and going forward including, but not limited to. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on.
For the past 5 weeks january 20february 24, the cecc has rapidly produced and implemented a list of at least 124 action items etable in the supplement including border control from the air and sea, case identification using new data and technology, quarantine of suspicious cases, proactive case finding, resource allocation assessing and managing capacity, reassurance and education of. Technological advances introduce the possibility that, in the future, firms will be able to use bigdata analysis to discover and offer consumers their individual reservation price. Most downloaded big data research articles elsevier. Big data analytics is a topic fraught with both positive and negative potential. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many. Big data and personalized pricing business ethics quarterly. Jun 27, 20 artificial intelligence and big data abstract. To answer the interesting question whether there are inherent correlations between the two tendencies of big data and green challenges, a recent study has investigated the issues on greening the whole life cycle of big data systems. There is a huge security risk associated with big data 24. Jan 25, 2019 big data analytics will be a musthave component of any effective cyber security solution due to the need of fast processing of the highvelocity, highvolume data from various sources to discover anomalies andor attack patterns as fast as possible to limit the vulnerability of the systems and increase their resilience. Pdf big data analytics in financial market esat journals. Journal of big data publishes highquality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data. Big data and the future of nursing knowledge lww journals. Data in brief you have the option of converting any or all parts of your supplementary or additional raw data into one or multiple data articles, a new kind of article that houses and describes your data.
Journal of data science, an international journal devoted to applications of statistical methods at large. Big data and management academy of management journal. Student, institute of doctoral studies bucharest 3phd. Big data and predictive analytics and manufacturing performance. Big data are widely recognized as being one of the most powerful drivers to promote productivity, improve efficiency, and support innovation. Big data is arriving from multiple sources at an alarming velocity, volume and variety. Citescore values are based on citation counts in a given year e. The journal will accept papers on foundational aspects in dealing with big data, as well as papers. As a result, this article provides a platform to explore big data at numerous stages. Journals, magazines in analytics, big data, data mining, data. Data in brief you have the option of converting any or all parts of your supplementary or additional raw data into one or multiple. As recent trends show, capturing, storing, and mining big data may create significant value in industries ranging from healthcare, business, and government services to the entire science.
Journals, magazines in analytics, big data, data mining. Student, institute of doctoral studies bucharest 2phd. The journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure. Ai innovation in industry is a new department for ieee intelligent systems, and this paper examines some of the basic concerns and uses of ai for big data ai has been used in several different ways to facilitate capturing and structuring big data, and it has been used to analyze big data for key. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. Survey, technologies, opportunities, and challenges nawsherkhan, 1,2 ibraryaqoob, 1 ibrahimabakertargiohashem, 1 zakirainayat, 1,3. This study investigates the effectiveness of multiple maxout activation function variants on 18 datasets using convolutional neural networks. Most downloaded big data research articles journals elsevier. The explosion of data generated can be imagined as the time recorded and the number of drivers increases.
For more information, visit the mendeley data for journals page. Statistics resources and big data on the internet 2020 is a comprehensive listing of statistics and big data datasets including resources and sites on the internet. Pdf the history, evolution, and future of big data. The big data provenance black box as reliable evidence. The journal of big data publishes highquality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data intensive computing and all applications of big data research. The following figure 1 refers to the difficult to analysis and it is in the need of more definition of big data. The mckinsey global institute defines big data as datasets whose sizes are beyond the ability of typical database software tools to capture, store, manage, and analyze. Read more and all the current calls for papers at the. Preserving sensitive information is a major issue in big data analysis. Big data, technologies, visualization, classification, clustering 1.
The scope of the journal includes descriptions of data systems, their implementations and their publication. Understanding the principles, barriers, challenges, and opportunities for big data will help us more rapidly ensure that sharable and comparable nursing information is included in ehrs, and that all aspects of the nursing profession are knowledgeable about the potential of big data to transform practice, research, and education. Evaluation of maxout activations in deep learning across several big data domains. The challenges that are hindering the growth of big data analytics are accounted for in depth in. The journal of big data publishes highquality, scholarly research papers, methodologies and case studies covering a broad. Nowadays, information technology is in the new era of big data, which provides more volume of data to researchers and analysts. International journal of big data intelligence ijbdi. The next frontier for innovation, competition, and productivity. Big data quarterly is a new magazine and digital resource, from the editors of database trends and applications dbta magazine, designed to reach information management and business. Effective statistical methods for big data analytics. In proceedings of 20 ieee international conference on big data. Based view and big data culture rameshwar dubey angappa gunasekaran.
The journal of big data publishes highquality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to dataintensive. Big data analytics list of high impact articles ppts. However, current big data analysis tools have poor per formance in handling computational complexities, uncertainty. Big data is defined not just by the amount of information involved but also its variety and complexity, as well as t. The journal will accept papers on foundational aspects in dealing. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving.
In the medicine and health areas, the advent of big data and artificial intelligence brings about enormous opportunities and challenges. We have largeenough data in our hand, this available data have precious insight values that make the administrators. Big data analytics will be a musthave component of any effective cyber security solution due to the need of fast processing of the highvelocity, highvolume data from various. Big data is defined not just by the amount of information involved but also its variety and complexity, as well as the speed with which it must be analyzed or delivered.
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