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by
Kancharla, Abhilash, author.
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Big Streaming Data Sampling and Optimization / Kancharla, Abhilash, author.
by
Paulson, Erik Steven, author.
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Big Data Analytics: Methods and Applications / Paulson, Erik Steven, author.
by
Patel, Aayush, author.
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Big Data Challenge via Tennessee Eastman Process / Patel, Aayush, author.
by
Mishra, Pratik, author.
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Host Managed Storage Solutions for Big Data / Mishra, Pratik, author.
by
Salijeni, George, author.
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Big Data Analytics and the Social Relevance of Auditing: An Exploratory Study / Salijeni, George
by
Patel, Parth, author.
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Supervised Machine Learning for Small RNA Informatics and Big Data Analytics in Plants / Patel
by
French, Carolyn M., author.
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The Integration of Mobile and Cloud Technology with Big Data Platforms in the Oil and Gas Industry /
by
Mathias, Henry, author.
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Analyzing Small Businesses' Adoption of Big Data Security Analytics / Mathias, Henry, author.
by
Fang, Kuai, author.
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Capability Using Big Data Machine Learning Methods / Fang, Kuai, author.
by
Sun, Chen, author.
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Scalable and Accurate Algorithms for Search in Genomic Big Data and Analysis of Genetic Variants /
by
Udegbe, Egbadon, author.
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Pattern Recognition for Fractured Reservoir Characterization Using Subsurface Big Data / Udegbe
by
Chen, Jiahong, author.
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Data protection in the age of big data: legal challenges and responses in the context of online
by
Osei, Solomon, author.
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Multi-agent-based ddos detection on big data systems / Osei, Solomon, author.
by
Chen, Xin, author.
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Integrative Big Data Analytics for Public Health Studies / Chen, Xin, author.
by
Krishnan, Gopal, author.
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Marketers, big data and intuition: implications for strategy and decision-making / Krishnan, Gopal
by
Sigl, Juliane, author.
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for big data = Iteratively Reweighted Least Squares - Nichtlineare Regression und Lernen
by
Sacha, Dominik, author.
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exploration of big data / Sacha, Dominik, author.
by
Zhou, Yixiao Alvin, author.
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Public Relations as a Diversity Management Approach: A Big-Data Examination of CSR Strategies and
by
Wang, Mengyao, author.
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Performance Enhancement of Logistic Regression for Big Data on Spark / Wang, Mengyao, author.
by
Gupte, Aishwarya, author.
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Determining Critical Success Factors for Big Data Projects / Gupte, Aishwarya, author.
by
Gant, Lindsey Kathleen, author.
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The Datafication of Mindfulness: Big Data, Mental Health, and the Perception of Privacy / Gant
by
Stephens, Eric James, author.
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Prisons, Genres, and Big Data: Understanding the Language of Corrections in America's Prisons /
by
Noutoua, Jean Sylvestre, author.
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Data Security in the Age of Big Data in the Financial Industry / Noutoua, Jean Sylvestre, author.
by
Fu, Kai, author.
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Mining and Integrating Epigenomics Big Data to Discover Novel Mechanisms of Gene Regulation / Fu
by
Taylor, Tyiste B., author.
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Judgment Day: Big Data as the Big Decider / Taylor, Tyiste B., author.
by
Wang, Shuo, author.
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Traffic Speed Prediction Using Big Data Enabled Deep Learning / Wang, Shuo, author.
by
Lederer, Nirosha Mahendraratnam, author.
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: Lessons Learned from Big Data and Modeling / Lederer, Nirosha Mahendraratnam, author.
by
Gordon, David, author.
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Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and
by
Casstevens, Darlene Corder, author.
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Big Data Techniques to Help Banks Avoid Losses: Complying with FASB's Credit Losses Standard /
by
Hu, Fei, author. (orcid)0000-0001-5231-2303
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A Distributed Computing Framework to Manage, Query, and Analyze Big Geospatial Data for Urban
by
Tang, Jingyin, author.
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Ground-Based Doppler Weather Observations and "Big-Spatial-Data" Technologies / Tang, Jingyin, author.
by
Nitin, Nitin, author.
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Hardware and Software Accelerators for Big Data Machine Learning Workloads / Nitin, Nitin, author.
by
Patel, Vandan, author.
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Big Data Applications / Patel, Vandan, author.
by
Kim, Young-Long, author.
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The Role of Big Data in Understanding Urban Vitality / Kim, Young-Long, author.
by
Malik, Maria, author. (orcid)0000-0001-8425-2501
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System, Architectural and Application Level Analysis of Big Data Applications for Performance and
by
Aykac, Salih, author.
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study affirm that all principals strongly believe that parental involvement has a big influence on
by
Xu, Yue, author.
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frameworks to analyze these big data. We anticipate that this work will provide statistical and computational
by
Graves, Christian A., author.
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these compartments and HNC remain poorly understood. We present a novel big data approach utilizing
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
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
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
Gao, Zhaoxing, author.
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extensive simulation results as well as real data examples to illustrate our methodologies and theories. The
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
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
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
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.
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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
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