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Journal of Big Data, Volume 8
Volume 8, Number 1, December 2021
- Abeer Mohsin Saleh, Talal Hamoud:
Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation. 1 - Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh:
A novel community detection based genetic algorithm for feature selection. 2 - Shiqi Liang, Kurt Stockinger, Tarcisio Mendes de Farias, Maria Anisimova, Manuel Gil:
Querying knowledge graphs in natural language. 3 - Mekuanint Simeneh Workie, Abebaw Gedef Azene:
Bayesian zero-inflated regression model with application to under-five child mortality. 4 - Asmaa El Hannani, Rahhal Errattahi, Fatima Zahra Salmam, Thomas Hain, Hassan Ouahmane:
Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection. 5 - Sikha Bagui, Kunqi Li:
Resampling imbalanced data for network intrusion detection datasets. 6 - Thananut Phiboonbanakit, Teerayut Horanont:
Analyzing Bangkok city taxi ride: reforming fares for profit sustainability using big data driven model. 7 - Shovanur Haque, Kerrie L. Mengersen, Steven E. Stern:
Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach. 8 - Athor Subroto, Marcel Christianis:
Rating prediction of peer-to-peer accommodation through attributes and topics from customer review. 9 - Isti Surjandari, Harman Yusuf, Enrico Laoh, Rayi Maulida:
Designing a Permissioned Blockchain Network for the Halal Industry using Hyperledger Fabric with multiple channels and the raft consensus mechanism. 10 - Amina Adadi:
A survey on data-efficient algorithms in big data era. 1-54 - Yoomi Park, Heewon Seo, Kyunghun Yoo, Ju Han Kim:
CaReAl: capturing read alignments in a BAM file rapidly and conveniently. 1-8 - Bilal Elghadyry, Faissal Ouardi, Sébastien Vérel:
Composition of weighted finite transducers in MapReduce. 1-15 - Sara Migliorini, Alberto Belussi, Elisa Quintarelli, Damiano Carra:
CoPart: a context-based partitioning technique for big data. 1-28 - Abdul Khalique Shaikh, Malik Al-Shamli, Amril Nazir:
Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA). 1-22 - Khawla Tadist, Fatiha Mrabti, Nikola S. Nikolov, Azeddine Zahi, Said Najah:
SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis. 1-22 - Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht:
Deep Learning applications for COVID-19. 1-54 - Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori:
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction. 1-28 - Nairit Sur, Leonardo Cristella, Adriano Di Florio, Vincenzo Mastrapasqua:
A GPU based multidimensional amplitude analysis to search for tetraquark candidates. 1-19 - Zohreh Kaheh, Morteza Shabanzadeh:
The effect of driver variables on the estimation of bivariate probability density of peak loads in long-term horizon. 1-17 - Nico Surantha, Tri Fennia Lesmana, Sani Muhamad Isa:
Sleep stage classification using extreme learning machine and particle swarm optimization for healthcare big data. 1-17 - Mio Hosoe, Masashi Kuwano, Taku Moriyama:
A method for extracting travel patterns using data polishing. 1-22 - Aaron Frederick Bulagang, James Mountstephens, Jason Teo:
Multiclass emotion prediction using heart rate and virtual reality stimuli. 1-12 - Salem Alelyani:
Stable bagging feature selection on medical data. 1-18 - Bilal Ben Mahria, Ilham Chaker, Azeddine Zahi:
A novel approach for learning ontology from relational database: from the construction to the evaluation. 25 - Rianto, Achmad Benny Mutiara, Eri Prasetyo Wibowo, Paulus Insap Santosa:
Improving the accuracy of text classification using stemming method, a case of non-formal Indonesian conversation. 26 - Vignesh Sampath, Iñaki Maurtua, Juan José Aguilar Martín, Aitor Gutierrez:
A survey on generative adversarial networks for imbalance problems in computer vision tasks. 27 - Peter Baumann, Dimitar Misev, Vlad Merticariu, Bang Pham Huu:
Array databases: concepts, standards, implementations. 28 - Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Ayodele Ariyo Adebiyi, Oludayo O. Olugbara:
Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier. 29 - Teng Li, Hyo-Sang Shin, Antonios Tsourdos:
A sample decreasing threshold greedy-based algorithm for big data summarisation. 30 - Minjung Ryu, Hong Linh Truong, Matti Kannala:
Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling. 31 - Mohammadsadegh Vahidi Farashah, Akbar Etebarian, Reza Azmi, Reza Ebrahimzadeh Dastjerdi:
A hybrid recommender system based-on link prediction for movie baskets analysis. 32 - Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Taghi M. Khoshgoftaar:
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm. 33 - Dorota Domalewska:
An analysis of COVID-19 economic measures and attitudes: evidence from social media mining. 1-14 - B. Athira, Josette Jones, Sumam Mary Idicula, Anand Kulanthaivel, Enming Zhang:
Annotating and detecting topics in social media forum and modelling the annotation to derive directions-a case study. 1-23 - Mohammed Bergui, Said Najah, Nikola S. Nikolov:
A survey on bandwidth-aware geo-distributed frameworks for big-data analytics. 1-26 - Marco Roccetti, Giovanni Delnevo, Luca Casini, Silvia Mirri:
An alternative approach to dimension reduction for pareto distributed data: a case study. 1-23 - Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar:
Detecting cybersecurity attacks across different network features and learners. 1-29 - Heru Nugroho, Nugraha Priya Utama, Kridanto Surendro:
Class center-based firefly algorithm for handling missing data. 1-14 - Mohammadsadegh Vahidi Farashah, Akbar Etebarian, Reza Azmi, Reza Ebrahimzadeh Dastjerdi:
An analytics model for TelecoVAS customers' basket clustering using ensemble learning approach. 1-24 - Mehdi Srifi, Ahmed Oussous, Ayoub Ait Lahcen, Salma Mouline:
Evaluation of recent advances in recommender systems on Arabic content. 1-19 - Shibiru Jabessa, Dabala Jabessa:
Bayesian multilevel model on maternal mortality in Ethiopia. 1-17 - Muhammad Ismail, Shahzad Memon, Lachhman Das Dhomeja, Shahid Munir Shah, Dostdar Hussain, Sabit Rahim, Imran Ali:
Development of a regional voice dataset and speaker classification based on machine learning. 43 - Fezzeh Ebrahimi, Asefeh Asemi, Amin Nezarat, Andrea Ko:
Developing a mathematical model of the co-author recommender system using graph mining techniques and big data applications. 44 - Hossein Ahmadvand, Fouzhan Foroutan, Mahmood Fathy:
DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing. 45 - Sean A. Mochocki, Gary B. Lamont, Robert C. Leishman, Kyle Kauffman:
Multi-objective database queries in combined knapsack and set covering problem domains. 46 - Triyanna Widyaningtyas, Indriana Hidayah, Teguh Bharata Adji:
User profile correlation-based similarity (UPCSim) algorithm in movie recommendation system. 1-21 - Catia Prandi, Valentina Nisi, Miguel Ribeiro, Nuno Nunes:
Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience. 1-25 - Micheal Olaolu Arowolo, Marion Olubunmi Adebiyi, Charity Aremu, Ayodele Ariyo Adebiyi:
A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector. 1-17 - Muslihah Wook, Nor Asiakin Hasbullah, Norulzahrah Mohd. Zainudin, Zam Zarina Abdul Jabar, Suzaimah Ramli, Mat Razali Noor Afiza, Nurhafizah Moziyana Mohd Yusop:
Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling. 1-15 - Widodo Budiharto, Edy Irwansyah, Jarot S. Suroso, Andry Chowanda, Heri Ngarianto, Alexander Agung Santoso Gunawan:
Mapping and 3D modelling using quadrotor drone and GIS software. 1-12 - Widodo Budiharto:
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM). 1-9 - Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Q. Al-Dujaili, Ye Duan, Omran Al-Shamma, José Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie, Laith Farhan:
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. 53 - Mahdi Yousefzadeh Aghdam, Seyed Reza Kamel Tabbakh, Seyyed Javad Seyyed Mahdavi Chabok, Maryam Kheyrabadi:
Optimization of air traffic management efficiency based on deep learning enriched by the long short-term memory (LSTM) and extreme learning machine (ELM). 54 - Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga:
An analysis of the graph processing landscape. 55 - Molham Al-Maleh, Said Desouki:
Correction to: Arabic text summarization using deep learning approach. 56 - Christian Colot, Philippe Baecke, Isabelle Linden:
Leveraging fine-grained mobile data for churn detection through Essence Random Forest. 1-26 - Marek Nowicki, Lukasz Górski, Piotr Bala:
PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads. 1-21 - Mahdi Yousefzadeh Aghdam, Seyed Reza Kamel Tabbakh, Seyyed Javad Seyyed Mahdavi Chabok, Maryam Kheyrabadi:
Ontology generation for flight safety messages in air traffic management. 1-21 - Feras A. Batarseh, Laura J. Freeman, Chih-Hao Huang:
A survey on artificial intelligence assurance. 1-30 - Kiran Jammalamadaka, Nikhat Parveen:
Testing coverage criteria for optimized deep belief network with search and rescue. 1-20 - Mekuanint Simeneh Workie, Abebaw Gedef Azene:
Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity. 1-20 - Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
A reconstruction error-based framework for label noise detection. 1-16 - Seyyed Mohammad Razavi, Mohsen Kahani, Samad Paydar:
Big data fuzzy C-means algorithm based on bee colony optimization using an Apache Hbase. 64 - FatimaEzzahra Laghrissi, Samira Douzi, Khadija Douzi, Badr Hssina:
Intrusion detection systems using long short-term memory (LSTM). 65 - Shrey Srivastava, Amit Vishvas Divekar, Chandu Anilkumar, Ishika Naik, Ved Kulkarni, V. Pattabiraman:
Comparative analysis of deep learning image detection algorithms. 66 - Sara Qassimi, El Hassan Abdelwahed, Meriem Hafidi, Aimad Qazdar:
Towards a folksonomy graph-based context-aware recommender system of annotated books. 67 - Hans Christian, Derwin Suhartono, Andry Chowanda, Kamal Z. Zamli:
Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging. 68 - Maher Ala'raj, Maysam F. Abbod, Munir Majdalawieh:
Modelling customers credit card behaviour using bidirectional LSTM neural networks. 69 - Kiran Chaudhary, Mansaf Alam, Mabrook S. Al-Rakhami, Abdu Gumaei:
Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics. 73 - Alhadi Bustamam, Haris Hamzah, Nadya A. Husna, Sarah Syarofina, Nalendra Dwimantara, Arry Yanuar, Devvi Sarwinda:
Artificial intelligence paradigm for ligand-based virtual screening on the drug discovery of type 2 diabetes mellitus. 74 - Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar:
Detecting web attacks using random undersampling and ensemble learners. 75 - Ikbal Taleb, Mohamed Adel Serhani, Chafik Bouhaddioui, Rachida Dssouli:
Big data quality framework: a holistic approach to continuous quality management. 76 - Nunung Nurul Qomariyah, Dimitar Kazakov:
A genetic-based pairwise trip planner recommender system. 77 - Adam Sadowski, Zbigniew Galar, Robert Walasek, Grzegorz Zimon, Per Engelseth:
Big data insight on global mobility during the Covid-19 pandemic lockdown. 78 - Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas, Muhammad Imran:
Using social media for sub-event detection during disasters. 79 - Atiq ur Rehman, Samir Brahim Belhaouari:
Unsupervised outlier detection in multidimensional data. 80 - Chitrakant Banchhor, N. Srinivasu:
Analysis of Bayesian optimization algorithms for big data classification based on Map Reduce framework. 81 - Morteza Noshad, Jerome Choi, Yuming Sun, Alfred O. Hero III, Ivo D. Dinov:
A data value metric for quantifying information content and utility. 82 - Amna Asif, Shaheen Khatoon, Md Maruf Hasan, Majed A. Alshamari, Sherif M. Abdou, Khaled Mostafa Elsayed, Mohsen A. Rashwan:
Automatic analysis of social media images to identify disaster type and infer appropriate emergency response. 83 - Maria Irmina Prasetiyowati, Nur Ulfa Maulidevi, Kridanto Surendro:
Determining threshold value on information gain feature selection to increase speed and prediction accuracy of random forest. 84 - Hamideh Soltani, Zahra Einalou, Mehrdad Dadgostar, Keivan Maghooli:
Classification of SSVEP-based BCIs using Genetic Algorithm. 85 - Haosong Li, Phillip C.-Y. Sheu:
A scalable association rule learning heuristic for large datasets. 86 - El Mehdi Saoudi, Said Jai-Andaloussi:
A distributed Content-Based Video Retrieval system for large datasets. 87 - Ravi Kiran, Dayakar L. Naik:
Novel sensitivity method for evaluating the first derivative of the feed-forward neural network outputs. 88 - Syed Iftikhar Hussain Shah, Vassilios Peristeras, Ioannis Magnisalis:
DaLiF: a data lifecycle framework for data-driven governments. 89 - Amirah Alshammari, Abdulaziz Aldribi:
Apply machine learning techniques to detect malicious network traffic in cloud computing. 90 - Yasmeen M. George, Shanika Karunasekera, Aaron Harwood, Kwan Hui Lim:
Real-time spatio-temporal event detection on geotagged social media. 91 - Cecile Daniel, Angelo Furno, Lorenzo Goglia, Eugenio Zimeo:
Fast cluster-based computation of exact betweenness centrality in large graphs. 92 - Imad Sassi, Samir Anter, Abdelkrim Bekkhoucha:
A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problem. 93 - Svetozar Zarko Valtchev, Jianhong Wu:
Domain randomization for neural network classification. 94 - Yahya Albalawi, Jim Buckley, Nikola S. Nikolov:
Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media. 95 - Fateha Khanam Bappee, Amílcar Soares, Lucas May Petry, Stan Matwin:
Examining the impact of cross-domain learning on crime prediction. 96 - Atousa Ataei, Niloufar Seyed Majidi, Javad Zahiri, Mehrdad Rostami, Seyed Shahriar Arab, Albert Rizvanov:
Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis. 97 - Fu Jie Tey, Tin-Yu Wu, Chiao-Ling Lin, Jiann-Liang Chen:
Accuracy improvements for cold-start recommendation problem using indirect relations in social networks. 98 - Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani:
The forecast of COVID-19 spread risk at the county level. 99 - Bilal Ben Mahria, Ilham Chaker, Azeddine Zahi:
An empirical study on the evaluation of the RDF storage systems. 100 - Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht:
Text Data Augmentation for Deep Learning. 101 - Kidane Alemtsega Getahun:
Time series modeling of road traffic accidents in Amhara Region. 102 - Hidayaturrahman, Emmanuel Dave, Derwin Suhartono, Aniati Murni Arymurthy:
Enhancing argumentation component classification using contextual language model. 103 - Seng Hansun, Julio Christian Young:
Predicting LQ45 financial sector indices using RNN-LSTM. 104 - Andrius Grybauskas, Vaida Pilinkiene, Alina Stundziene:
Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic. 105 - Nouar AlDahoul, Hezerul Abdul Karim, Abdulaziz Saleh Ba Wazir:
Model fusion of deep neural networks for anomaly detection. 106 - Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak:
A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters. 107 - Jenna Marie Reps, Patrick B. Ryan, Peter R. Rijnbeek, Martijn J. Schuemie:
Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets. 108 - Jasbir Dhaliwal, John Wagner:
A novel feature extraction method based on highly expressed SNPs for tissue-specific gene prediction. 109 - Arwa A. Jamjoom:
The use of knowledge extraction in predicting customer churn in B2B. 110 - Sugandh Seth, Gurvinder Singh, Kuljit Kaur Chahal:
A novel time efficient learning-based approach for smart intrusion detection system. 111 - Abdulrazzak Ali, Nurul A. Emran, Siti Azirah Asmai:
Missing values compensation in duplicates detection using hot deck method. 112 - Riyanarto Sarno, Kelly Rossa Sungkono, Muhammad Taufiqulsa'di, Hendra Darmawan, Achmad Fahmi, Kuwat Triyana:
Improving efficiency for discovering business processes containing invisible tasks in non-free choice. 113 - Houshyar Honar Pajooh, Mohammed A. Rashid, Fakhrul Alam, Serge N. Demidenko:
IoT Big Data provenance scheme using blockchain on Hadoop ecosystem. 114 - Jaafar Jaafari, Samira Douzi, Khadija Douzi, Badr Hssina:
Towards more efficient CNN-based surgical tools classification using transfer learning. 115 - Junsuke Senoguchi:
Forecast of complex financial big data using model tree optimized by bilevel evolution strategy. 116 - Mark Tygert:
Cumulative deviation of a subpopulation from the full population. 117 - Endang Suryawati, Hilman F. Pardede, Vicky Zilvan, Ade Ramdan, Dikdik Krisnandi, Ana Heryana, R. Sandra Yuwana, R. Budiarianto S. Kusumo, Andria Arisal, Ahmad Afif Supianto:
Unsupervised feature learning-based encoder and adversarial networks. 118 - Michael G. Thomason, Benjamin S. Jordan:
Localizing hot spots in Poisson radiation data matrices: nonnegative tensor factorization and phase congruency. 119 - Somayeh Iranpak, Asadollah Shahbahrami,