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by
Świątek, Jerzy. editor.
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, systems analysis and modeling, methods for managing complex planning environment and insights from Big
by
Wilimowska, Zofia. editor.
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, systems analysis and modeling, methods for managing complex planning environment and insights from Big
by
Rinaldi, Rinaldo. editor.
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of application domains are covered, processing of big data coming from digital and social media
by
Hargittai, Eszter, 1973- editor.
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archive: strategies for historical web research / Megan Sapnar Ankerson -- Big data, big problems, big
by
Jordan, John M.
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business models and innovation worldwide. With all of the recent emphasis on "big data," analytics and
by
Smeeding, Timothy M., editor.
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from Norwegian Registry data and U.S. Panel Study of Income Dynamics / Greg J. Duncan ... [et al
by
McGinty, Hande Küçük, author.
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-based, semantic models that are suitable as a framework for big data integration, while avoiding overly extreme
by
Kim, Keunwoo, author.
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values from large-scale data. Answering to the calls in the era of "big data", the present dissertation
by
Zhou, Yuan, author.
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information of big data related to these networks. Therefore, this dissertation aims to investigate intermodal
by
Mancino, Susan, author.
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of algorithmic processing of big data that displaces and replaces the human interpreter. For Eco
by
Kottary, Trupti, author.
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professional organization. The student run festivals are: Long Island University's Big MINI Media Festival and
by
Zhou, Yuanshu, author.
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nanoparticles were proved to have efficient luminescence, which create big chance for advanced red/far-red light
by
Ipsen, Heather A., author.
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development and operation of data centers, using a Facebook data center in Prineville, Oregon as a case study
by
Dobson, Anthony M., author.
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discuss using Apache Spark, a big data processing tool known for handling tasks at fast speeds, to process
by
Zhang, Wenxin, author.
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-avoidance and academic performance (GPA) in a big model using path analysis method. Data were collected from a
by
Ehsani, Sina, author.
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With advances in digital health technologies and proliferation of big biomedical data in recent
by
Gundala palle, Santosh reddy, author.
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providing its maximum services such as Data Storage, Computing or Processing, Analyzing and Securing Big
by
Nathan, Rebecca Ann, author.
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several institutions, including Indiana University, University of Arizona, Little Big Horn College, and
by
Hohl, Alexander, author.
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media platforms, such as Facebook or Twitter. Processing, analyzing and making sense of big data, which
by
Sawada, Kae, author.
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In this paper, Big Data Processing was utilized to develop a Predictive Analytics Model with the
by
Cui, Wencong, author.
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long periods. Using big data from the Mobike BSS in Beijing, I analyzed the relationship between
by
Hossen, Tareq, author.
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neural networks (ANN). These conventional methods are limited in application for big datasets, and often
by
Kriege, Mitchell David, author.
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comparison to 2016 nighttime electrofishing data, provided by ORSANCO. Qualitative SCUBA surveys were
by
Stohler, Justine, author. (orcid)0000-0002-7265-4770
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research analyzing data from a case study, this paper investigates the moderating effects of Big Five
by
Chang, Ann Mei.
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'T FORGET YOUR OTHER CUSTOMER -- PROBLEM DISCOVERY -- CHAPTER 4 FINDING THE "BIG IDEA" -- INSPIRING
by
Fritz, Ryan Michael, author.
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reading. Data from 16 older adult participants (age 49 to 69) and 16 younger adult participants (age 18 to
by
Borangiu, Theodor. editor.
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The book offers an integrated vision on Cloud and HPC, Big Data, Analytics and virtualization in
by
Thames, Lane. editor.
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Security in Industry 4.0 -- Big Data Security Intelligence for Healthcare Industry 4.0 -- Decentralized
by
Alor-Hernández, Giner. editor.
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-lifecare Big Data Services -- Decision support system for operational risk management in supply chain with 3PL
by
Rocha, Álvaro. editor.
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Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics
by
Rocha, Álvaro. editor.
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Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics
by
Rocha, Álvaro. editor.
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Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics
by
de Winter, Joost C.F. author.
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‘big data’ research), product evaluation, biometrics, behavioural tracking (e.g., of work and travel
by
Al-Ekabi, Cenan. editor.
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century space -- Big data from outer space: opportunities and challenges for crisis response -- Some
by
Kakadia, Deepak. author.
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using big data engineering. Self-organizing network (SON) architecture is presented as a way to utilize
by
Deiva Sundari, P. editor.
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: Automobile clutch -- A Survey on Challenges in Integrating Big Data.
by
Ao, Sio-Iong. editor.
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Intention in Big Data Era -- Chapter 6. Door Monitoring System Using Sensor Node with Zero Standby Power
by
Woodruff, Teresa K. editor.
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Fertility Preservation -- Using Big Data to Track Fertility Preservation: Australia's Example.
by
Kyung, Chong-Min. editor.
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Computing for Cooperative Real-Time Controls using Geospatial Big Data -- Challenges of Application of ICT
by
Martí-Bonmatí, Luis. editor.
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biobanks, big data and population-based imaging biomarkers -- A proposed Imaging Biomarkers analysis
by
Angelakis, Vangelis. editor.
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towards urban development; · Addresses design, development and running of smart cities, including big data
by
Pełech-Pilichowski, Tomasz. editor.
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quantitative data, including in the area of big data, the Internet of Things (IoT) and cloud computing offers a
by
Certomà, Chiara. editor.
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Manifesto for Collaborative Urbanism -- Framework for Collaborative Urbanism -- Using Big and Small
by
Bai, Wei, author.
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Nowadays, data centers are being built around the world to provide infrastructure support for big
by
Villalon, Rachelle B., author.
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Internet has created big data that has the potential to 1) enhance the traditional forms of spatial
by
Ponnaganti, Gautham Brahma, author.
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big data. It has the capability of working with large datasets efficiently by harnessing the power of
by
Fabozzi, Frank J., author.
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. Portfolio analytics refers to all of the methods used to screen, model, track, and evaluate investments. Big
by
Pachamanova, Dessislava A., author
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. Portfolio analytics refers to all of the methods used to screen, model, track, and evaluate investments. Big
by
Gao, Zhaoxing, author.
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extensive simulation results as well as real data examples to illustrate our methodologies and theories. The
by
Choffnes, Eileen R., compiler.
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biosphere -- Phylogeography and molecular epidemiology of Yersinia pestis in Madagascar -- Big data in
by
Misa, Thomas J.
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-Tech Minnesota Industry -- 4. Innovation Machine: Control Data's Supercomputers, Services, and Social Vision -- 5
by
Aufaure, Marie-Aude.
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, tactical, and operational levels. Business Intelligence is now impacted by the Big Data phenomena and the
by
Firestein, Stuart.
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research, revisiting apparently settled questions, using small questions to get at big ones, and tackling a
by
Chorafas, Dimitris N.
ScienceDirect http://www.sciencedirect.com/science/book/9780750683043
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architecure -- Chapter 5 Case studies on big product problems that went unattended -- Part 2 Risk control
by
Dodelson, Scott, author.
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abundances, and weak lensing. The book concludes with a long chapter on data analysis. Modern Cosmology is
by
Sills, Adam.
ScienceDirect https://www.sciencedirect.com/science/book/9781928994473
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Compete with the big players in today's E-commerce marketplace Electronic Data Interchange (EDI
by
Narasimhan, Shankar.
ScienceDirect http://www.sciencedirect.com/science/book/9780884152552
ScienceDirect https://www.sciencedirect.com/science/book/9780884152552
ScienceDirect https://www.sciencedirect.com/science/book/9780884152552
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selection on data reconciliation are also exhaustively explained. Data errors can cause big problems in any
by
Sargent, Philip.
ScienceDirect https://www.sciencedirect.com/science/book/9780750602778
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explanation; Models: types of expert system; Fragility; Tutorial systems; Big systems; Combined Knowledge
by
Van Cleef, Eugene, 1887-1973.
ScienceDirect https://www.sciencedirect.com/science/book/9780080156224
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; CHAPTER 44. BIG CITIES; CHAPTER 45. POPULATION DENSITY; CHAPTER 46. GHETTOS; CHAPTER 47. URBAN RENEWAL
by
Blommaert, A., author.
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's moments of truth The Big Data revolution 9 Get on the fast lane! 10 Driving on the fast lane; DO 11
by
Liu, Qi, author.
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communities and industries are stepping into the Era of Big Data. Following this technology trend, the amount
by
Huang, Xiao Bing, author. (orcid)0000-0002-1198-9526
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recognition, big data analysis, and multimedia understanding recently. However, the existing state
by
Srinivas, Sethuraman K., author.
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identify factors that impact the successful implementation of any security analytic tool, including big
by
Relihan, Lindsay E., author.
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, this dissertation uses many novel big data assets that provide new insights into the functioning of
by
Li, Yanan, author.
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-level data on land ownership distribution and the implementations of NREGA. To address potential endogeneity
by
Hartog, Jessica, author.
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executing MapReduce applications, and how these lessons can be applied more broadly to Big Data
by
Zhang, Haoyu, author.
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improves I/O efficiency. The all-to-all data transfer (i.e., shuffle) in modern big-data systems (such as
by
Tao, Tao, author.
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which firms are affected by which states' RPS laws, as well as providing a sense of how big an impact
by
Chen, Jun, author.
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computing framework is designed based on Spark, a big data cluster computing system, to further improve the
by
Luckett, Daniel J., author.
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The big data age has brought with it challenges and opportunities for biomedical decision making
by
Huang, Weiyu, author.
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Networked data structures has been getting big, ubiquitous, and pervasive. As our day
by
Metz, Stephanie M., author.
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transformational leadership, communication, collaboration, vision or big picture, transforming people, and self
by
Wang, De, author.
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To unleash the power of big data, efficient algorithms which are scalable to millions of data are
by
Zhao, Shenglin, author.
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share information as well. Driven by the collected big data in LBSNs, point-of-interest (POI
by
Muñoz, Julio Alberto Reyes, author.
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It was found that the data marshalling time has a big impact regarding the communication time
by
Tursunniyaz, Muhammadeziz, author.
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-The-Shelf ) materials. However, there is a big challenge for the small spacecraft that is the limited surface area of
by
Zulfiqar, Junaid, author.
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For computing applications involving big data, the data files are stored on non-volatile storage
by
Zhou, Zixiang, author.
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spatial data acquisition and processing technologies for automated building damage assessment. The
by
Choi, Wonje, author.
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for many emerging application domains including artificial intelligence, bio-computing and big data
by
Li, Teng, author.
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attention from industry and academia in recent years. They are capable of processing unbounded big streams
by
Puig, Vicenç. editor.
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-- Big Data Analytics and Knowledge Discovery.
by
Cleophas, Ton J. author.
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the analysis of big data. This 26-chapter book was written for nonmathematical professionals of
by
Jezic, Gordan. editor.
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, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business
by
Birnbaum, Howard G. editor.
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Assessing CER for Medical Technology -- 19. Evidence Generation Using Big Data: Challenges and Opportunities
by
Rinaldi, Giovanni. editor.
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Institutions -- An Infrastructural Approach to Clinical Information -- From Big Data to Big Insights. The Role
by
Shakhovska, Natalya. editor.
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, current issue in big data and cloud computing, computation linguistics, cyber-physical systems as well as
by
Hu, Yang, author.
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-time intelligence in IoT big data era. My two-part dissertation work tackles this issue by proposing new data center
by
Houde, Joseph Raymond, author.
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data can be characterized as a form of Big Data in which it is described as containing the 3V
by
Chang, Wei-Lun., author.
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. Service mining is a branch under the big umbrella of service science. The goals of this book are to devise
by
Daniel, Florian. editor.
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Era of Big Data -- BPM In The Cloud -- Process mining -- Bridging Abstraction Layers in Process Mining
by
Frisendal, Thomas.
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-- Reusable meaning -- Open information sharing -- "Pull" instead of "Push" -- NoSQL and "Big Data" -- Think
by
Turan, Ömer Serkan
Tam Metin PDF (900KB) http://lib.baskent.edu.tr/tezbaskent1/00374.pdf
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care of patients who have chronic cardiopulmonary diseases. The data and the experience gained from
by
Haberal, İsmail
Tam Metin Pdf (1.9 mb) http://lib.baskent.edu.tr/tezbaskent/00210.pdf
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big quantities of data possible. Today, common but significant problems of the world requires
by
Christy, Keith M., author.
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census of these groups was used from the six major Division IA BCS Conferences (ACC, Big East, Big Ten
by
Snedaker, Susan.
ScienceDirect http://www.sciencedirect.com/science/book/9781597491723
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, integrity and availability of data, and the widespread risks to the security of personal, confidential and
by
Sites, Richard L.
ScienceDirect https://www.sciencedirect.com/science/book/9781483184036
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Conventions; Chapter 2. Basic Architecture (I); 2.1 Addressing; 2.2 Data Types; 2.3 Big-endian Addressing
by
Stephenson, David, 1943-
ScienceDirect http://www.sciencedirect.com/science/book/9780444889560
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stimulate local economies. However big water projects appear, they cannot escape the effects of the rest of
by
NATO Advanced Study Institute on Palaeomagnetic Methods (1964 : University of Newcastle upon Tyne)
ScienceDirect http://www.sciencedirect.com/science/book/9781483228945
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DEMAGNETIZING OVEN; CHEMICAL DEMAGNETIZATION; Chapter 4.PRESENTATION AND ANALYSIS OF DATA; STATISTICS OF A
by
Yin, Tianzhixi, author.
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data analytics is a good example of such a big data problem. There has been an increase of data mining
by
Kulathintekizhakethil, Mathew Jijo, author.
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effective performance measures and visualization tools to mine this big data to make design, operation
by
Kurkcu, Abdullah, author.
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. While some challenges of data analytics are addressed by big data approaches, structure, and analytics
by
Xiao, Houping, author. (orcid)0000-0002-6981-8842
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In the era of Big Data, data entries, even describing the same objects or events, can come from a
by
McDevitt, Kimber A., author.
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administrators will quickly understand that a review of the big picture created by aggregated metrics produces a
by
Apostolakis, Iason Zacharias, author.
Format:
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of the big bulk of generated data. The parameters of coherent compounding were optimized in vivo
by
Wang, Jing, author.
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big system data. We present a hybrid deep learning model for spatiotemporal prediction, which includes
by
Redding, Louis. editor.
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Aerospace Gas Turbine Case Study -- The Knowledge Management Perspective -- Predictive Big Data Analytics
by
Barthorpe, Robert. editor.
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31. Model Calibration with Big Data -- Chapter32. Towards Reducing Prediction Uncertainties in Human
by
Król, Dariusz. editor.
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Data Mining. • Part II. Big Data and Collaborative Decision Support Systems, • Part III. Computer
by
Roze, Gatis N., author.
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: Revisit, Retune, Refine Personal Data Mining The Investor's Big Three Motivation Confidence Action
by
Zeid, Aiman.
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Level Organization Functions Big Data: The Big Opportunity for Enterprise Level Organizations Don't Let
by
Noam, Eli M. editor.
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Investment in Smart Grid Infrastructures by Reed Hundt -- Mining Big Data to Transform Electricity by Miriam
by
Guros, Larry.
ScienceDirect http://www.sciencedirect.com/science/book/9781555583316
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-- Portal forms and reports -- 16. Understanding the Big Picture. -- Demonstration Application -- 15 Pages
by
Bohan, David.
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Future Avenues to `Big Data, Network Analyses of Change -- 3.1. Novel Food Web Profiling -- 3.2. Null
by
Satapathy, Suresh Chandra. editor.
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Hierarchical Bisecting Min Max Clustering Algorithm -- Chapter 58. Open Source Big Data Analytics Technique
by
Satapathy, Suresh Chandra. editor.
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RASPBERRY PI -- Chapter 61. Sentiment Analysis based on A.I. over Big Data -- Chapter 62. Negotiation and
by
Qi, Ershi. editor.
Format:
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Mechanism of Early Warning of Health Management Based on Cloud Computing and Big Data -- 53.Research on
by
Modi, Nilesh. editor.
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. IMSS: A Novel Approach to Design of Adaptive Search System Using Second Generation Big Data Analytics
by
Satapathy, Suresh Chandra. editor.
Format:
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The book covers a variety of topics which include data mining and data warehousing, high
by
Bryman, Alan.
Format:
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unobtrusive method -- Big Data -- Key points -- Questions for review -- 15 Quantitative data analysis
by
Majumdar, Arun K.
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Platforms -- 5.4 INTEGRATION ARCHITECTURES FOR IN-BUILDING OPTICAL WIRELESS ACCESS NETWORKS: A BIG PICTURE
by
Profillidis, V. A.
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of Big Data -- 3.13.3 Big Data and Privacy Rights -- 3.13.4 Applications of Big Data to Solve Some
by
Su, Wencong.
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-- 9.3.1 Cybersecurity considerations -- 9.3.2 Big data management and software as a service solutions
by
Singh, Rajesh. editor.
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Application -- Chapter 54. An In-memory Based Big Data Analytics with Two-Level Storage on Private Cloud
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