7:78. Authors: Damodara Krishna Kishore Galla, Babu Reddy Mukamalla and Rama Prakasha Reddy Chegireddy, Citation: Access the latest Big Data and Analytics information, insights and tips in this free resources section. Authors: Ahmad Gamal, Ari Wibisono, Satrio Bagus Wicaksono, Muhammad Alvin Abyan, Nur Hamid, Hanif Arif Wisesa, Wisnu Jatmiko and Ronny Ardhianto, Citation: Neill Hart-25 Mar, 2020. 2020 2020 Journal of Big Data Argumentation mining is a research field which focuses on sentences in type of argumentation. By using this website, you agree to our CatBoost for big data: an interdisciplinary review Gradient Boosted Decision Trees (GBDT’s) are a powerful tool for classification and regression tasks in Big Data. 7:73. Journal of Big Data The growing number of Internet of Things (IoT) devices provide a massive pool of sensing data. 7:87. 2020 © 2020 BioMed Central Ltd unless otherwise stated. With the online world now being the biggest market space for businesses worldwide, Big Data is proving to be their most powerful tool-set to own and use. Authors: Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso and Jason Loyd, Citation: Extensive usage of Internet based applications in day to day life has led to generation of huge amounts of data every minute. Authors: Nasaruddin Nasaruddin, Kahlil Muchtar, Afdhal Afdhal and Alvin Prayuda Juniarta Dwiyantoro, Citation: statement and T... Citation: Urban transport investments have contributed to the exponential increase of value from land and properties around the built infrastructure. 2020 Authors: Thérence Nibareke and Jalal Laassiri, Citation: There has been growing demand for 3D modeling from earth observations, especially for purposes of urban and regional planning and management. Getting the Most From Modern Data Applications in the Cloud. This article show we can view and infer from the huge collection of Data. Every big data source has different characteristics, including the frequency, volume, velocity, type, and veracity of the data. ©2020 C# Corner. 2020 This article show we can view and infer from the huge collection of Data. 2020 Journal of Big Data 2020 2020 Authors: K. Namitha and G. Santhosh Kumar, Citation: We collected 2 years of data from Chinese stock market and proposed a comprehensive... Citation: Authors: Derwin Suhartono, Aryo Pradipta Gema, Suhendro Winton, Theodorus David, Mohamad Ivan Fanany and Aniati Murni Arymurthy, Citation: 2020 Journal of Big Data This is an introductory article to Big Data analytics using Microsoft Azure. 7:77. All contents are copyright of their authors. 2020 Journal of Big Data Journal of Big Data This research proposes a system based on a combination of various components for parallel modelling and forecasting the processes in networks with data assimilation from the real network. 7:66. 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Along with the big data era, digital transformation has had a transformative effect on modern education tremendously in higher education. Authors: Kirill Khazukov, Vladimir Shepelev, Tatiana Karpeta, Salavat Shabiev, Ivan Slobodin, Irakli Charbadze and Irina Alferova, Citation: 7:70. Journal of Big Data What’s The Biggest Data Threat For Businesses? Authors: E. A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry and Aaron Saxton, Citation: Journal of Big Data 2020 Journal of Big Data In this article, the author provides an introduction to the Hive. 2020 7:103. In this article, the author provides an introduction to predictive analytics and big data. Journal of Big Data 7:106. Journal of Big Data Authors: Joffrey L. Leevy, Taghi M. Khoshgoftaar and Flavio Villanustre, Citation: Authors: Didier Grimaldi, Javier Diaz Cely and Hugo Arboleda, Citation: 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 professionals who are looking to leverage big data in organizations of all kinds. Journal of Big Data The development of Intelligent Humanoid Robot focuses on question answering systems that can interact with people is very limited. Journal of Big Data Classification of data points which correspond to complex entities such as people or journal articles is a ongoing research task. The Impact of Big Data in Business. 7:86. 2020 Whether gathering data on the front end or making big decisions in the C Suite, every single person in your organization must buy in to the value analytics brings. 2020 2020 In recent years, deep learning has become one of the most important topics in computer sciences. 7:68. Cookies policy. Resource management is critical to ensure control of the entire data flow including pre- and post-processing, integration, in-database summarization, and analytical modeling. 2020 Journal of Big Data Journal of Big Data Anomaly-based Intrusion Detection System (IDS) has been a hot research topic because of its ability to detect new threats rather than only memorized signatures threats of signature-based IDS. However, turning data into actionable insights is not a trivial task, especially in the context of IoT, where appl... Citation: 2020 Real-time information mining of a big dataset consisting of time series data is a very challenging task. The increasing reliance on electronic health record (EHR) in areas such as medical research should be addressed by using ample safeguards for patient privacy. 7:62. It transforms an institutional core value of education to better meet s... Citation: 2020 Springer Nature. 7:69. Journal of Big Data Journal of Big Data 2020 Organizations may be related in terms of similar operational procedures, management, and supervisory agencies coordinating their operations. 7:101. Fiber optics cable has been adopted by telecommunication companies worldwide as the primary medium of transmission. A massive amount of data is generated with the evolution of modern technologies. Business executives sometimes ask us, “Isn’t ‘big data’ just another way of saying ‘analytics’?” It’s true that they’re related: The By Allen O'Neill. What Is A Big Data Strategy? Journal of Big Data In the past decades, the rapid growth of computer and database technologies has led to the rapid growth of large-scale datasets. Journal of Big Data Having efficient implementation of sorting is necessary for a wide spectrum of scientific applications. To conclude, Big Data and Python together provide a robust computational capability in big data analysis platforms. Journal of Big Data This massive amount of data has proven to be immensely valuable to large enterprise companies - for the first time, enterprises are able to integrate disparate data into … Authors: Patrick Obilikwu and Emeka Ogbuju, Citation: Journal of Big Data Journal of Big Data Journal of Big Data Researchers should be familiar with the strengths and weaknesses of current implementations of... John T. Hancock and Taghi M. Khoshgoftaar Journal of Big Data 7:74. 2020 Authors: Ari Wibisono, Hanif Arief Wisesa, Zulia Putri Rahmadhani, Puteri Khatya Fahira, Petrus Mursanto and Wisnu Jatmiko, Citation: Cooperative co-evolution for feature selection in Big Data with random feature grouping, Flight delay prediction based on deep learning and Levenberg-Marquart algorithm, Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset, A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data, Big data actionable intelligence architecture, Automatic LIDAR building segmentation based on DGCNN and euclidean clustering, Comparison of sort algorithms in Hadoop and PCJ, Deep learning accelerators: a case study with MAESTRO, Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective, Support vector machine based feature extraction for gender recognition from objects using lasso classifier, A robust machine learning approach to SDG data segmentation, Assessing data quality from the Clinical Practice Research Datalink: a methodological approach applied to the full blood count blood test, A data model for enhanced data comparability across multiple organizations, CatBoost for big data: an interdisciplinary review, Uncovering trend-based research insights on teaching and learning in big data, A survey of methods supporting cyber situational awareness in the context of smart cities, Regularized Simple Graph Convolution (SGC) for improved interpretability of large datasets, Argument annotation and analysis using deep learning with attention mechanism in Bahasa Indonesia, A predictive noise correction methodology for manufacturing process datasets, Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure, Deep anomaly detection through visual attention in surveillance videos, Efficient verification of parallel matrix multiplication in public cloud: the MapReduce case, Distance variable improvement of time-series big data stream evaluation, Real-time monitoring of traffic parameters, A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty, Sandbox security model for Hadoop file system, Composing high-level stream processing pipelines, Reversible data hiding with segmented secrets and smoothed samples in various audio genres, Predictability analysis of the Pound’s Brexit exchange rates based on Google Trends data, Using Big Data-machine learning models for diabetes prediction and flight delays analytics, Deep learning-based question answering system for intelligent humanoid robot, DHPV: a distributed algorithm for large-scale graph partitioning, Learning in the presence of concept recurrence in data stream clustering, A set theory based similarity measure for text clustering and classification, Survey on RNN and CRF models for de-identification of medical free text, Large-scale forecasting of information spreading, Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate, Boosting methods for multi-class imbalanced data classification: an experimental review, Traditional food knowledge of Indonesia: a new high-quality food dataset and automatic recognition system, Anomaly detection optimization using big data and deep learning to reduce false-positive, Multi Region-Based Feature Connected Layer (RB-FCL) of deep learning models for bone age assessment, Short-term stock market price trend prediction using a comprehensive deep learning system, Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques, Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks, The best statistical model to estimate predictors of under-five mortality in Ethiopia, S-RASTER: contraction clustering for evolving data streams, Big Data architecture for intelligent maintenance: a focus on query processing and machine learning algorithms, Large scale analysis of violent death count in daily newspapers to quantify bias and censorship, Exploring the efficacy of transfer learning in mining image-based software artifacts, Inferring the votes in a new political landscape: the case of the 2019 Spanish Presidential elections, Sign up for article alerts and news from this journal, Source Normalized Impact per Paper (SNIP).