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ORCIDJournal of Big Data, Volume 6
Volume 6, 2019
- Ahmed Ismail
, Hong-Linh Truong, Wolfgang Kastner:
Manufacturing process data analysis pipelines: a requirements analysis and survey. 1 - Karim Dahdouh, Ahmed Dakkak, Lahcen Oughdir, Abdelali Ibriz:
Large-scale e-learning recommender system based on Spark and Hadoop. 2 - Amaryllis Mavragani, Konstantinos P. Tsagarakis:
Predicting referendum results in the Big Data Era. 3 - Takashi Nicholas Maeda, Narushige Shiode, Chen Zhong, Junichiro Mori, Tetsuo Sakimoto:
Detecting and understanding urban changes through decomposing the numbers of visitors' arrivals using human mobility data. 4 - Fatima Zahra El Mazouri, Mohammed Chaouki Abounaima, Khalid Zenkouar:
Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France. 5 - Muhammad Shahbaz, Chang-Yuan Gao, LiLi Zhai, Fakhar Shahzad, Yanling Hu:
Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change. 6 - Ryan Rivas, Dinesh Patil, Vagelis Hristidis, Joseph R. Barr, Narayanan Srinivasan:
The impact of colleges and hospitals to local real estate markets. 7 - Fatemeh Soleimani-Roozbahani, Ali Rajabzadeh Ghatari, Reza Radfar:
Knowledge discovery from a more than a decade studies on healthcare Big Data systems: a scientometrics study. 8 - Yair Neuman, Yochai Cohen, Yiftach Neuman:
How to (better) find a perpetrator in a haystack. 9 - Maluambanzila Minerve Mampaka, Mbuyu Sumbwanyambe:
A quadri-dimensional approach for poor performance prioritization in mobile networks using Big Data. 10 - Aderibigbe Israel Adekitan, Jeremiah O. Abolade, Olamilekan Shobayo:
Data mining approach for predicting the daily Internet data traffic of a smart university. 11 - Maddalena Favaretto, Eva M. De Clercq, Bernice Simone Elger:
Big Data and discrimination: perils, promises and solutions. A systematic review. 12 - N. Sneha, Tarun Gangil:
Analysis of diabetes mellitus for early prediction using optimal features selection. 13 - Guang-Jun Yu, Jianlei Gu, Wenbin Cui, Jianping Jiang, Yang Wang, Georgi Z. Genchev, Ting Lu, Hui Lu:
Identifying and characterizing the effects of calendar and environmental conditions on pediatric admissions in Shanghai. 14 - Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos, Yiannis Verginadis:
A survey on data storage and placement methodologies for Cloud-Big Data ecosystem. 15 - Robert K. L. Kennedy, Taghi M. Khoshgoftaar, Flavio Villanustre, Timothy Humphrey:
A parallel and distributed stochastic gradient descent implementation using commodity clusters. 16 - Habtamu Tilaye Wubetie:
Application of variable selection and dimension reduction on predictors of MSE's development. 17 - Ibrahim Mousa Al-Zuabi, Assef Jafar, Kadan Aljoumaa:
Predicting customer's gender and age depending on mobile phone data. 18 - Rustem Dautov, Salvatore Distefano, Rajkumar Buyya:
Hierarchical data fusion for Smart Healthcare. 19 - Hossein Ahmadvand, Maziar Goudarzi, Fouzhan Foroutan:
Gapprox: using Gallup approach for approximation in Big Data processing. 20 - Matthew Herland, Richard A. Bauder, Taghi M. Khoshgoftaar:
The effects of class rarity on the evaluation of supervised healthcare fraud detection models. 21 - Tu-Anh Nguyen-Hoang, Ha Nguyen Thi Thu, Viet Anh Nguyen:
Mining aspects of customer's review on the social network. 22 - Abraham Itzhak Weinberg, Mark Last:
Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification. 23 - Alexander V. Mantzaris, Thomas G. Walker, Cameron E. Taylor, Dustin Ehling:
Adaptive network diagram constructions for representing big data event streams on monitoring dashboards. 24 - Simon Elias Bibri:
On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review. 25 - Piyush Jain, Ankur Agarwal, Ravi S. Behara, Christopher Baechle:
HPCC based framework for COPD readmission risk analysis. 26 - Justin M. Johnson, Taghi M. Khoshgoftaar:
Survey on deep learning with class imbalance. 27 - Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa:
Customer churn prediction in telecom using machine learning in big data platform. 28 - Insha Ullah, Kerrie L. Mengersen:
Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data. 29 - Priyank Jain, Manasi Gyanchandani, Nilay Khare:
Enhanced Secured Map Reduce layer for Big Data privacy and security. 30 - Sonja Georgievska, Philip Rutten, Jan Amoraal, Elena Ranguelova, Rena Bakhshi, Ben L. de Vries, Michael Lees, Sander Klous:
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach. 31 - Firouzeh Razavi, Mohammad Jafar Tarokh, Mahmood Alborzi:
An intelligent Alzheimer's disease diagnosis method using unsupervised feature learning. 32 - Aamna Al Shehhi, Justin Thomas, Roy E. Welsch, Ian Grey, Zeyar Aung:
Arabia Felix 2.0: a cross-linguistic Twitter analysis of happiness patterns in the United Arab Emirates. 33 - Eduarda Costa, Carlos Costa, Maribel Yasmina Santos:
Evaluating partitioning and bucketing strategies for Hive-based Big Data Warehousing systems. 34 - Jordan Ott, Abigail Atchison, Erik Linstead:
Exploring the applicability of low-shot learning in mining software repositories. 35 - Rachel Krohn, Tim Weninger:
Library adoption in public software repositories. 36 - Sofya Titarenko, Valeriy Titarenko, Georgios Aivaliotis, Jan Palczewski:
Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints. 37 - Anthony Miller:
The intrinsically linked future for human and Artificial Intelligence interaction. 38 - Rami Ibrahim, M. Omair Shafiq:
Detecting taxi movements using Random Swap clustering and sequential pattern mining. 39 - Marcello M. Bersani, Francesco Marconi, Damian A. Tamburri, Andrea Nodari, Pooyan Jamshidi:
Verifying big data topologies by-design : a semi-automated approach. 40 - Raya Rizk, Steve McKeever, Johan Petrini, Erik Zeitler:
Diftong: a tool for validating big data workflows. 41 - Rubens Mussi Cury:
Oscillation of tweet sentiments in the election of João Doria Jr. for Mayor. 42 - Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
DENCAST: distributed density-based clustering for multi-target regression. 43 - Reihaneh H. Hariri, Erik M. Fredericks, Kate M. Bowers:
Uncertainty in big data analytics: survey, opportunities, and challenges. 44 - Salman Salloum, Joshua Zhexue Huang, Yulin He:
Exploring and cleaning big data with random sample data blocks. 45 - Kurt Stockinger, Nils Bundi, Jonas Heitz, Wolfgang Breymann:
Scalable architecture for Big Data financial analytics: user-defined functions vs. SQL. 46 - Taiwo Kolajo, Olawande J. Daramola, Ayodele Ariyo Adebiyi:
Big data stream analysis: a systematic literature review. 47 - G. Sreenu, M. A. Saleem Durai:
Intelligent video surveillance: a review through deep learning techniques for crowd analysis. 48 - Iqbal H. Sarker, Alan Colman, Jun Han:
RecencyMiner: mining recency-based personalized behavior from contextual smartphone data. 49 - Athor Subroto, Andri Apriyana:
Cyber risk prediction through social media big data analytics and statistical machine learning. 50 - Alaa E. Abdel-Hakim:
Ally patches for spoliation of adversarial patches. 51 - Hamid Nasiri, Saeed Nasehi, Maziar Goudarzi:
Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities. 52 - Aurello Patrik, Gaudi Utama, Alexander Agung Santoso Gunawan, Andry Chowanda, Jarot S. Suroso, Rizatus Shofiyanti, Widodo Budiharto:
GNSS-based navigation systems of autonomous drone for delivering items. 53 - Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma, Sandeep Kaushik:
Big data in healthcare: management, analysis and future prospects. 54 - Ikechukwu Maduako, Monica Wachowicz, Trevor Hanson:
STVG: an evolutionary graph framework for analyzing fast-evolving networks. 55 - Young-Min Kim:
Feature visualization in comic artist classification using deep neural networks. 56 - Iqbal H. Sarker, A. S. M. Kayes, Paul A. Watters:
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage. 57 - Ari Wibisono, Devvi Sarwinda, Petrus Mursanto:
Tree stream mining algorithm with Chernoff-bound and standard deviation approach for big data stream. 58 - Simon Elias Bibri:
The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications. 59 - Connor Shorten, Taghi M. Khoshgoftaar:
A survey on Image Data Augmentation for Deep Learning. 60 - Andrea Hart, Brianna Smith, Sean Smith, Elijah Sales, Jacqueline Hernandez-Camargo, Yarlin Mayor Garcia, Felix Zhan, Lori Griswold, Brian Dunkelberger, Michael R. Schwob, Sharang Chaudhry, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh:
Resolving intravoxel white matter structures in the human brain using regularized regression and clustering. 61 - Sachin Kumar, Mikhail L. Zymbler:
A machine learning approach to analyze customer satisfaction from airline tweets. 62 - Justin M. Johnson, Taghi M. Khoshgoftaar:
Medicare fraud detection using neural networks. 63 - Giovanni Delnevo, Pietro Di Lena, Silvia Mirri, Catia Prandi, Paola Salomoni:
On combining Big Data and machine learning to support eco-driving behaviours. 64 - Carlos Adolfo Piña-García, Lilia L. Ramírez-Ramírez:
Exploring crime patterns in Mexico City. 65 - Hiba Asri, Hajar Mousannif, Hassan Al Moatassime:
Reality mining and predictive analytics for building smart applications. 66 - Chad Calvert, Taghi M. Khoshgoftaar:
Impact of class distribution on the detection of slow HTTP DoS attacks using Big Data. 67 - Victor M. Herrera, Taghi M. Khoshgoftaar, Flavio Villanustre, Borko Furht:
Random forest implementation and optimization for Big Data analytics on LexisNexis's high performance computing cluster platform. 68 - Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya:
Examining characteristics of predictive models with imbalanced big data. 69 - Marco Roccetti, Giovanni Delnevo, Luca Casini, Giuseppe Cappiello:
Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures. 70 - Peter Oluseyi Obitade:
Big data analytics: a link between knowledge management capabilities and superior cyber protection. 71 - Gabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar:
Evaluation of maxout activations in deep learning across several big data domains. 72 - Aleksandr Fedorov, Kseniia Nikolskaia, Sergey Ivanov, Vladimir D. Shepelev, Alexey Minbaleev:
Traffic flow estimation with data from a video surveillance camera. 73 - Nikolaos Konstantinou, Edward Abel, Luigi Bellomarini, Alex Bogatu, Cristina Civili, Endri Irfanie, Martin Koehler, Lacramioara Mazilu, Emanuel Sallinger, Alvaro A. A. Fernandes, Georg Gottlob, John A. Keane, Norman W. Paton:
VADA: an architecture for end user informed data preparation. 74 - Sikha Bagui, Probal Chandra Dhar:
Positive and negative association rule mining in Hadoop's MapReduce environment. 75 - Imane El Alaoui, Youssef Gahi, Rochdi Messoussi, Youness Chaabi, Alexis Todoskoff, Abdessamad Kobi:
Correction to: A novel adaptable approach for sentiment analysis on big social data. 76 - Safanaz Heidari, Mahmood Alborzi, Reza Radfar, Mohammad Ali Afshar Kazemi, Ali Rajabzadeh Ghatari:
Big data clustering with varied density based on MapReduce. 77 - Khadija Aziz, Dounia Zaidouni, Mostafa Bellafkih:
Leveraging resource management for efficient performance of Apache Spark. 78 - Khawla Tadist, Said Najah, Nikola S. Nikolov, Fatiha Mrabti, Azeddine Zahi:
Feature selection methods and genomic big data: a systematic review. 79 - Brian Dumbacher, Darcy Steeg Morris, Carma Hogue:
Using electronic transaction data to add geographic granularity to official estimates of retail sales. 80 - Fajr Ibrahem Alarsan, Mamoon Younes:
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms. 81 - Mazin Alkathiri, Abdul Jhummarwala, Madhukar B. Potdar:
Multi-dimensional geospatial data mining in a distributed environment using MapReduce. 82 - Sanket Chobe, Justin Zhan:
Advancing community detection using Keyword Attribute Search. 83 - Bagus Setya Rintyarna, Riyanarto Sarno, Chastine Fatichah:
Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks. 84 - Noriko Etani:
Development of a predictive model for on-time arrival flight of airliner by discovering correlation between flight and weather data. 85 - Subramanian Arumugam, R. Bhargavi:
A survey on driving behavior analysis in usage based insurance using big data. 86 - Aris Marjuni, Teguh Bharata Adji, Ridi Ferdiana:
Unsupervised software defect prediction using median absolute deviation threshold based spectral classifier on signed Laplacian matrix. 87 - Khloud Al Jallad, Mohamad Aljnidi, Mohammad Said Desouki:
Big data analysis and distributed deep learning for next-generation intrusion detection system optimization. 88 - Massa Baali, Nada Ghneim:
Emotion analysis of Arabic tweets using deep learning approach. 89 - Seyed Reza Kamel, Reyhaneh YaghoubZadeh, Maryam Kheirabadi:
Improving the performance of support-vector machine by selecting the best features by Gray Wolf algorithm to increase the accuracy of diagnosis of breast cancer. 90 - Kiran Adnan, Rehan Akbar:
An analytical study of information extraction from unstructured and multidimensional big data. 91 - Monireh Taimouri, Hamid Saadatfar:
RBSEP: a reassignment and buffer based streaming edge partitioning approach. 92 - Claus Boye Asmussen, Charles Møller:
Smart literature review: a practical topic modelling approach to exploratory literature review. 93 - Hilmi Egemen Ciritoglu, John Murphy, Christina Thorpe:
HaRD: a heterogeneity-aware replica deletion for HDFS. 94 - Iqbal H. Sarker:
Context-aware rule learning from smartphone data: survey, challenges and future directions. 95 - Sumedh Yadav, Mathis Bode:
A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training. 96 - Noussair Fikri, Mohamed Rida, Noureddine Abghour, Khalid Moussaid, Amina El Omri:
An adaptive and real-time based architecture for financial data integration. 97 - Mahdi Hashemi:
Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation. 98 - Nour Raeef Al-Molhem, Yasser Rahal, Mustapha Dakkak:
Social network analysis in Telecom data. 99 - Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Hossein Bobarshad, Vladimir Castro Alves, Nader Bagherzadeh:
Computational storage: an efficient and scalable platform for big data and HPC applications. 100 - Lianren Wu, Jinjie Li, Jiayin Qi:
Characterizing popularity dynamics of hot topics using micro-blogs spatio-temporal data. 101 - Atle Frenvik Sveen:
Efficient storage of heterogeneous geospatial data in spatial databases. 102 - D. Renuka Devi, S. Sasikala:
Online Feature Selection (OFS) with Accelerated Bat Algorithm (ABA) and Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) for big data streams. 103 - Abderrahmane Ed-daoudy, Khalil Maalmi:
A new Internet of Things architecture for real-time prediction of various diseases using machine learning on big data environment. 104 - Phongphun Kijsanayothin, Gantaphon Chalumporn, Rattikorn Hewett:
On using MapReduce to scale algorithms for Big Data analytics: a case study. 105 - Abolfazl Gandomi, Midia Reshadi, Ali Movaghar, Ahmad Khademzadeh:
HybSMRP: a hybrid scheduling algorithm in Hadoop MapReduce framework. 106 - Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder:
Severely imbalanced Big Data challenges: investigating data sampling approaches. 107 - Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li, Katie Atkinson:
Lifelong Machine Learning and root cause analysis for large-scale cancer patient data. 108 - Mohammad Hasan Ansari, Vahid Tabatab Vakili, Behnam Bahrak:
Evaluation of big data frameworks for analysis of smart grids. 109 - Bens Pardamean, Hery Harjono Muljo, Tjeng Wawan Cenggoro, Bloomest Jansen Chandra, Reza Rahutomo:
Using transfer learning for smart building management system. 110 - Sachin Kumar, Prayag Tiwari, Mikhail L. Zymbler:
Internet of Things is a revolutionary approach for future technology enhancement: a review. 111 - Saad Ahmed Dheyab, Mohammed Najm Abdullah, Buthainah Fahran Abed:
A novel approach for big data processing using message passing interface based on memory mapping. 112 - Samir S. Yadav, Shivajirao M. Jadhav:
Deep convolutional neural network based medical image classification for disease diagnosis. 113
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