Each published article was reviewed by a minimum of two independent reviewers using a … > Beyond the lab: Using big data to discover principles of cognition Gary Lupyan1 & Robert L. Goldstone2 Published online: 8 July 2019 # The Psychonomic Society, Inc. 2019 Like many other scientific disciplines, psychological science has felt the impact of the big-data revolution. Combining big data with analytics provides new insights that can drive digital transformation. 0000078105 00000 n Guest Editors: Prof. Dong Yue, Nanjing University of Posts and Telecommunications, China; Prof. Qing-Long Han, Swinburne University of Technology, Australia ; Submissions for this issue will close October 15, 2018. Social Media Lab., Hong Kong Uni. 0000009480 00000 n 0000015033 00000 n This also forms the basis for the most used definition of big data, the three V: Volume, Velocity and Variety as shown in Figure 1. 0000100357 00000 n 0000006861 00000 n 0000006285 00000 n 8 (2018), pp. He found they got value in the following ways: Cost reduction. The introduction to this special issue on psychological research involving big data summarizes the highlights of 10 articles that address a number of important and inspiring perspectives, issues, and applications. We begin by recognising that the technological objects of Big Data are unprecedented in the speed, scope and scale of their computation and knowledge 0000005982 00000 n 0000028105 00000 n Medlars. 0000018653 00000 n Production and Operations … The introduction to this special issue on psychological research involving big data summarizes the highlights of 10 articles that address a number of important and inspiring perspectives, issues, and applications. 0000077640 00000 n 1-4 Home ACM Journals ACM Transactions on Multimedia Computing, Communications, and Applications Vol. > > 2s Introduction to the Special Issue on Big Data, Machine Learning, and AI Technologies for Art and Design. Search term. Article Guest Editors’ Introduction: Special Issue on Big Data Intelligence and Computing was published on 01 Sep 2016 in the journal Foundations of Computing and Decision Sciences (Volume 41, Issue 3). 0000019742 00000 n 0000025364 00000 n 0000018479 00000 n 0000051099 00000 n This article is made available under the terms and conditions applicable towards Open Access Policy Articles, as set forth in our Terms of Use. 0000101831 00000 n Export Citation(s) Export Citations. Identifying, addressing, and being sensitive to ethical considerations when analyzing large datasets gained from public or private sources. 0000002888 00000 n Metrics details. Skip to Article Content; Skip to Article Information; Search within. 4. Big Data for Financial Services Credit card companies, retail banks, private wealth management advisories, insurance firms, venture funds, and institutional investment banks use big data for their financial services. 0000006964 00000 n BibTex. 0000062458 00000 n Home Security challenges of big data are quite a vast issue that deserves a whole other article dedicated to the topic. 0000005291 00000 n 0000077032 00000 n The articles in this journal are peer reviewed in accordance with the requirements set forth in the IEEE PSPB Operations Manual (sections 8.2.1.C & 8.2.2.A). OA icon designed by Jafri Ali and dedicated to the public domain, CC0 1.0. The Journal of Big Data publishes high-quality, 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. 0000002930 00000 n The story of how data became big starts many years before the current buzz around big data. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China. Frederick L. Oswald. We were pleased that many contributions could be placed in more than one cluster. Accessibility Statement. 0000005798 00000 n 0000017041 00000 n 0000004652 00000 n Published September 2017. About | But let’s look at the problem on a larger scale. Translational abstracts that summarize the articles in very clear and understandable terms are included in Appendix A, and a glossary of terms relevant to big data research discussed in the articles is presented in Appendix B. Keywords: big data, machine learning, statistical learning theory, social media data, digital footprint, decision trees and forests. 0000006824 00000 n The unavoidable necessity of validating predictive models in big data by applying a model developed on one dataset to a separate set of data or hold-out sample. 0000025801 00000 n My Account | 0000079440 00000 n 0000051360 00000 n FAQ | 0000100899 00000 n Today we live in the era of Big Data Revolution, overwhelmed with data, information and knowledge that is spread all over the web, in social media sites, in smartphones contributing so in creating a large base of big data. The articles presented in this special issue look at a diverse set of Artificial Intelligence and Big Data challenges. 0000025989 00000 n 0000022473 00000 n 0000006129 00000 n Advanced Search Citation Search. 0000002964 00000 n Volume 30, Issue 2. Share on. Big data in psychology: Introduction to the special issue. 0000101490 00000 n 0000027150 00000 n 0000077849 00000 n 0000015213 00000 n Telematics, sensor data, weather data, drone and aerial image data – insurers are swamped with an influx of big data. ; Rapid Publication: manuscripts are peer-reviewed and a first … 0000077296 00000 n 0000027793 00000 n 0000014591 00000 n Introduction: Special issue on computational intelligence methods for big data and information … 0000003967 00000 n All other icons designed by Adrien Coquet and licensed under CC BY 4.0. 0000033575 00000 n Login / Register. of … Guest Editors’ Introduction: Special Issue on Big Data Intelligence and Computing Guest Editors’ Introduction: Special Issue on Big Data Intelligence and Computing Kobusińska, Anna; Hsu, Ching-Hsien 2016-09-01 00:00:00 FOUNDATIONS Vol. In this special issue, we present a diverse collection of papers that highlight the use of these types of big data techniques, systems, and approaches to address complex real-world applications. Home | 0000035783 00000 n 2 Citations. 0000017846 00000 n 0000065151 00000 n We are facing the challenges at all levels ranging from sophisticated algorithms … 0000080090 00000 n 0000004520 00000 n The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big … 0000026396 00000 n 27, Big Data in Psychology: Introduction to the Special Issue, Lisa L. Harlow, University of Rhode IslandFollow As data expansion rates outpace Moore's law and supply voltage scaling grinds to a halt, the IT industry is being challenged in its ability to effectively store, process, and serve the growing volumes of data. Big Data and Cognitive Computing (ISSN 2504-2289) is an international, scientific, peer-reviewed, open access journal of big data and cognitive computing published quarterly online by MDPI.. Open Access —free for readers, with article processing charges (APC) paid by authors or their institutions. RefWorks. 0000101624 00000 n introduction . 0000054242 00000 n Jenifer Sunrise Winter, Introduction to the Special Issue: Digital Inequalities and Discrimination in the Big Data Era, Journal of Information Policy, Vol. 0000006430 00000 n Papers submitted to this conference may focus on one or more of these features in Big Data. Harlow, L. L., & Oswald, F. L. (2016). Among various big-data challenges, high performance is a must, not an option. Emerging … Below we describe the contributions to this special issue, grouped into three broad clusters: uses of naturalistic or crowdsourced data, methodological advances (with an emphasis on improving data analyzability), and the creation of new data resources. Since it is hard to clearly define what Big Data is, we do not impose a strict definition of Big Data in this special issue. 0000000016 00000 n startxref ; High Visibility: to be covered in Scopus. 0000005650 00000 n 0000005076 00000 n Introduction to the special issue on Big Data in finance and business. GO TO SECTION. 0000079234 00000 n 0000100970 00000 n 0000002116 00000 n To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, … Yang Yu DECISION SCIENCES No provides new insights that can drive digital transformation placed. Oa icon designed by Adrien Coquet and licensed under CC by 4.0 off later! 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