Search Results - "Journal of big data"

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions by Alzubaidi, Laith, Zhang, Jinglan, Humaidi, Amjad J., Al-Dujaili, Ayad, Duan, Ye, Al-Shamma, Omran, Santamaría, J., Fadhel, Mohammed A., Al-Amidie, Muthana, Farhan, Laith

“…In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has…”
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A survey on Image Data Augmentation for Deep Learning by Shorten, Connor, Khoshgoftaar, Taghi M.

“…Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to…”
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Survey on deep learning with class imbalance by Johnson, Justin M., Khoshgoftaar, Taghi M.

“…The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective classification with imbalanced data…”
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CatBoost for big data: an interdisciplinary review by Hancock, John T., Khoshgoftaar, Taghi M.

“…Gradient Boosted Decision Trees (GBDT’s) are a powerful tool for classification and regression tasks in Big Data. Researchers should be familiar with the…”
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Big data in healthcare: management, analysis and future prospects by Dash, Sabyasachi, Shakyawar, Sushil K., Sharma, Mohit, Kaushik, Sandeep

“…`Big data' is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great…”
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A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications by Alzubaidi, Laith, Bai, Jinshuai, Al-Sabaawi, Aiman, Santamaría, Jose, Albahri, A. S., Al-dabbagh, Bashar Sami Nayyef, Fadhel, Mohammed A., Manoufali, Mohamed, Zhang, Jinglan, Al-Timemy, Ali H., Duan, Ye, Abdullah, Amjed, Farhan, Laith, Lu, Yi, Gupta, Ashish, Albu, Felix, Abbosh, Amin, Gu, Yuantong

“…Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance…”
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A survey on missing data in machine learning by Emmanuel, Tlamelo, Maupong, Thabiso, Mpoeleng, Dimane, Semong, Thabo, Mphago, Banyatsang, Tabona, Oteng

“…Machine learning has been the corner stone in analysing and extracting information from data and often a problem of missing values is encountered. Missing…”
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Text Data Augmentation for Deep Learning by Shorten, Connor, Khoshgoftaar, Taghi M., Furht, Borko

“…Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training…”
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Deep convolutional neural network based medical image classification for disease diagnosis by Yadav, Samir S., Jadhav, Shivajirao M.

“…Medical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached its ceiling on…”
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Internet of Things is a revolutionary approach for future technology enhancement: a review by Kumar, Sachin, Tiwari, Prayag, Zymbler, Mikhail

“…Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into a high tech life style. Smart city, smart homes, pollution…”
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Selecting critical features for data classification based on machine learning methods by Chen, Rung-Ching, Dewi, Christine, Huang, Su-Wen, Caraka, Rezzy Eko

“…Feature selection becomes prominent, especially in the data sets with many variables and features. It will eliminate unimportant variables and improve the…”
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A survey of transfer learning by Weiss, Karl, Khoshgoftaar, Taghi M., Wang, DingDing

“…Machine learning and data mining techniques have been used in numerous real-world applications. An assumption of traditional machine learning methodologies is…”
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Cybersecurity data science: an overview from machine learning perspective by Sarker, Iqbal H., Kayes, A. S. M., Badsha, Shahriar, Alqahtani, Hamed, Watters, Paul, Ng, Alex

“…In a computing context, cybersecurity is undergoing massive shifts in technology and its operations in recent days, and data science is driving the change…”
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A survey on addressing high-class imbalance in big data by Leevy, Joffrey L., Khoshgoftaar, Taghi M., Bauder, Richard A., Seliya, Naeem

“…In a majority–minority classification problem, class imbalance in the dataset(s) can dramatically skew the performance of classifiers, introducing a prediction…”
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Uncertainty in big data analytics: survey, opportunities, and challenges by Hariri, Reihaneh H., Fredericks, Erik M., Bowers, Kate M.

“…Big data analytics has gained wide attention from both academia and industry as the demand for understanding trends in massive datasets increases. Recent…”
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A systematic review and research perspective on recommender systems by Roy, Deepjyoti, Dutta, Mala

“…Recommender systems are efficient tools for filtering online information, which is widespread owing to the changing habits of computer users, personalization…”
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Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset by Kasongo, Sydney M., Sun, Yanxia

“…Computer networks intrusion detection systems (IDSs) and intrusion prevention systems (IPSs) are critical aspects that contribute to the success of an…”
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Survey on categorical data for neural networks by Hancock, John T., Khoshgoftaar, Taghi M.

“…This survey investigates current techniques for representing qualitative data for use as input to neural networks. Techniques for using qualitative data in…”
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Deep Learning applications for COVID-19 by Shorten, Connor, Khoshgoftaar, Taghi M., Furht, Borko

“…This survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19. We cover Deep Learning…”
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A comprehensive survey of anomaly detection techniques for high dimensional big data by Thudumu, Srikanth, Branch, Philip, Jin, Jiong, Singh, Jugdutt (Jack)

“…Anomaly detection in high dimensional data is becoming a fundamental research problem that has various applications in the real world. However, many existing…”
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