Artículos de revistas sobre el tema "Big Data, Machine Learning, Data Science, Apache Spark"
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Mutasher, Watheq Ghanim y Abbas Fadhil Aljuboori. "Real Time Big Data Sentiment Analysis and Classification of Facebook". Webology 19, n.º 1 (20 de enero de 2022): 1112–27. http://dx.doi.org/10.14704/web/v19i1/web19076.
Texto completoOmar, Hoger Khayrolla y Alaa Khalil Jumaa. "Distributed big data analysis using spark parallel data processing". Bulletin of Electrical Engineering and Informatics 11, n.º 3 (1 de junio de 2022): 1505–15. http://dx.doi.org/10.11591/eei.v11i3.3187.
Texto completoOmar, Hoger Khayrolla y Alaa Khalil Jumaa. "Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java". Kurdistan Journal of Applied Research 4, n.º 1 (8 de mayo de 2019): 7–14. http://dx.doi.org/10.24017/science.2019.1.2.
Texto completoWei, Chih-Chiang y Tzu-Hao Chou. "Typhoon Quantitative Rainfall Prediction from Big Data Analytics by Using the Apache Hadoop Spark Parallel Computing Framework". Atmosphere 11, n.º 8 (17 de agosto de 2020): 870. http://dx.doi.org/10.3390/atmos11080870.
Texto completoGupta, Madhuri y Bharat Gupta. "Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data". Journal of Cases on Information Technology 21, n.º 3 (julio de 2019): 80–92. http://dx.doi.org/10.4018/jcit.2019070106.
Texto completoKamburugamuve, Supun, Pulasthi Wickramasinghe, Saliya Ekanayake y Geoffrey C. Fox. "Anatomy of machine learning algorithm implementations in MPI, Spark, and Flink". International Journal of High Performance Computing Applications 32, n.º 1 (2 de julio de 2017): 61–73. http://dx.doi.org/10.1177/1094342017712976.
Texto completoÖzgüven, Yavuz, Utku Gönener y Süleyman Eken. "A Dockerized big data architecture for sports analytics". Computer Science and Information Systems, n.º 00 (2022): 10. http://dx.doi.org/10.2298/csis220118010o.
Texto completoConcolato, Claude E. y Li M. Chen. "Data Science: A New Paradigm in the Age of Big-Data Science and Analytics". New Mathematics and Natural Computation 13, n.º 02 (julio de 2017): 119–43. http://dx.doi.org/10.1142/s1793005717400038.
Texto completoMyung, Rohyoung y Sukyong Choi. "Machine-Learning Based Memory Prediction Model for Data Parallel Workloads in Apache Spark". Symmetry 13, n.º 4 (16 de abril de 2021): 697. http://dx.doi.org/10.3390/sym13040697.
Texto completoHussin, Sahar K., Salah M. Abdelmageid, Adel Alkhalil, Yasser M. Omar, Mahmoud I. Marie y Rabie A. Ramadan. "Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms". Complexity 2021 (28 de enero de 2021): 1–15. http://dx.doi.org/10.1155/2021/6675279.
Texto completoAbdel-Fattah, Manal A., Nermin Abdelhakim Othman y Nagwa Goher. "Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark". Computational Intelligence and Neuroscience 2022 (23 de febrero de 2022): 1–12. http://dx.doi.org/10.1155/2022/9898831.
Texto completoDener, Murat, Gökçe Ok y Abdullah Orman. "Malware Detection Using Memory Analysis Data in Big Data Environment". Applied Sciences 12, n.º 17 (27 de agosto de 2022): 8604. http://dx.doi.org/10.3390/app12178604.
Texto completoAsaithambi, Suriya, Sitalakshmi Venkatraman y Ramanathan Venkatraman. "Big Data and Personalisation for Non-Intrusive Smart Home Automation". Big Data and Cognitive Computing 5, n.º 1 (30 de enero de 2021): 6. http://dx.doi.org/10.3390/bdcc5010006.
Texto completoKhan, Muhammad Ashfaq, Md Rezaul Karim y Yangwoo Kim. "A Two-Stage Big Data Analytics Framework with Real World Applications Using Spark Machine Learning and Long Short-Term Memory Network". Symmetry 10, n.º 10 (11 de octubre de 2018): 485. http://dx.doi.org/10.3390/sym10100485.
Texto completoHosseini, Behrooz y Kourosh Kiani. "A Robust Distributed Big Data Clustering-based on Adaptive Density Partitioning using Apache Spark". Symmetry 10, n.º 8 (15 de agosto de 2018): 342. http://dx.doi.org/10.3390/sym10080342.
Texto completoAlexopoulos, Athanasios, Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas y Gerasimos Vonitsanos. "Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark". Algorithms 13, n.º 3 (24 de marzo de 2020): 71. http://dx.doi.org/10.3390/a13030071.
Texto completoKokkinos, Konstantinos y Eftihia Nathanail. "Exploring an Ensemble of Textual Machine Learning Methodologies for Traffic Event Detection and Classification". Transport and Telecommunication Journal 21, n.º 4 (1 de diciembre de 2020): 285–94. http://dx.doi.org/10.2478/ttj-2020-0023.
Texto completoCerquitelli, Tania, Giovanni Malnati y Daniele Apiletti. "Exploiting Scalable Machine-Learning Distributed Frameworks to Forecast Power Consumption of Buildings". Energies 12, n.º 15 (31 de julio de 2019): 2933. http://dx.doi.org/10.3390/en12152933.
Texto completoMunawar, Hafiz Suliman, Siddra Qayyum, Fahim Ullah y Samad Sepasgozar. "Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis". Big Data and Cognitive Computing 4, n.º 2 (26 de marzo de 2020): 4. http://dx.doi.org/10.3390/bdcc4020004.
Texto completoBandi, Raswitha, J. Amudhavel y R. Karthik. "Machine Learning with PySpark - Review". Indonesian Journal of Electrical Engineering and Computer Science 12, n.º 1 (1 de octubre de 2018): 102. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp102-106.
Texto completoMalleswari, M., R. J. Manira, Praveen Kumar y Murugan . "Comparative Analysis of Machine Learning Techniques to Identify Churn for Telecom Data". International Journal of Engineering & Technology 7, n.º 3.34 (1 de septiembre de 2018): 291. http://dx.doi.org/10.14419/ijet.v7i3.34.19210.
Texto completoJankatti, Santosh, Raghavendra B. K., Raghavendra S. y Meenakshi Meenakshi. "Performance evaluation of Map-reduce jar pig hive and spark with machine learning using big data". International Journal of Electrical and Computer Engineering (IJECE) 10, n.º 4 (1 de agosto de 2020): 3811. http://dx.doi.org/10.11591/ijece.v10i4.pp3811-3818.
Texto completoAminudin, Aminudin y Eko Budi Cahyono. "Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing". Jurnal Teknologi Informasi dan Ilmu Komputer 6, n.º 5 (8 de octubre de 2019): 519. http://dx.doi.org/10.25126/jtiik.2019651520.
Texto completoLiu, K. y J. Boehm. "CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (20 de agosto de 2015): 553–57. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-553-2015.
Texto completoArmanur Rahman, Md, Abid Hossen, J. Hossen, Venkataseshaiah C, Thangavel Bhuvaneswari y Aziza Sultana. "Towards machine learning-based self-tuning of Hadoop-Spark system". Indonesian Journal of Electrical Engineering and Computer Science 15, n.º 2 (1 de agosto de 2019): 1076. http://dx.doi.org/10.11591/ijeecs.v15.i2.pp1076-1085.
Texto completoSaeed, Mozamel M., Zaher Al Aghbari y Mohammed Alsharidah. "Big data clustering techniques based on Spark: a literature review". PeerJ Computer Science 6 (30 de noviembre de 2020): e321. http://dx.doi.org/10.7717/peerj-cs.321.
Texto completoKarsi, Redouane, Mounia Zaim y Jamila El Alami. "Assessing naive Bayes and support vector machine performance in sentiment classification on a big data platform". IAES International Journal of Artificial Intelligence (IJ-AI) 10, n.º 4 (1 de diciembre de 2021): 990. http://dx.doi.org/10.11591/ijai.v10.i4.pp990-996.
Texto completoBoachie, Emmanuel y Chunlin Li. "Big Data Processing with Apache Spark in University Institutions: Spark Streaming and Machine Learning Algorithm". International Journal of Continuing Engineering Education and Life-Long Learning 28, n.º 4 (2018): 1. http://dx.doi.org/10.1504/ijceell.2018.10017171.
Texto completoBoachie, Emmanuel y Chunlin Li. "Big data processing with Apache Spark in university institutions: spark streaming and machine learning algorithm". International Journal of Continuing Engineering Education and Life-Long Learning 29, n.º 1/2 (2019): 5. http://dx.doi.org/10.1504/ijceell.2019.099217.
Texto completoYamuna Bee, Mrs J., E. Naveena, Reshma Elizabeth Thomas, Arathi Chandran, Siva Subramania Raja M y A. Akhilesh. "Intrusion Detection on Apache Spark Platform in Big data and Machine Learning Techniques". Journal of University of Shanghai for Science and Technology 23, n.º 06 (22 de junio de 2021): 1257–66. http://dx.doi.org/10.51201/jusst/21/06427.
Texto completoRodrigues, Anisha P., Roshan Fernandes, Adarsh Bhandary, Asha C. Shenoy, Ashwanth Shetty y M. Anisha. "Real-Time Twitter Trend Analysis Using Big Data Analytics and Machine Learning Techniques". Wireless Communications and Mobile Computing 2021 (25 de octubre de 2021): 1–13. http://dx.doi.org/10.1155/2021/3920325.
Texto completoBoden, Christoph, Tilmann Rabl y Volker Markl. "The Berlin Big Data Center (BBDC)". it - Information Technology 60, n.º 5-6 (19 de diciembre de 2018): 321–26. http://dx.doi.org/10.1515/itit-2018-0016.
Texto completoKhamaru, Ananda y Tryambak Hiwarkar. "A Dynamics of Machine Learning on Map-Reduce Architecture for Enhancing Big Data Analysis Performance". International Journal of Computer Science and Mobile Computing 11, n.º 11 (30 de noviembre de 2022): 109–30. http://dx.doi.org/10.47760/ijcsmc.2022.v11i11.009.
Texto completoBagui, Sikha, Jason Simonds, Russell Plenkers, Timothy A. Bennett y Subhash Bagui. "Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in Spark". International Journal of Big Data Intelligence and Applications 2, n.º 1 (enero de 2021): 1–23. http://dx.doi.org/10.4018/ijbdia.287617.
Texto completoAwan, Mazhar Javed, Umar Farooq, Hafiz Muhammad Aqeel Babar, Awais Yasin, Haitham Nobanee, Muzammil Hussain, Owais Hakeem y Azlan Mohd Zain. "Real-Time DDoS Attack Detection System Using Big Data Approach". Sustainability 13, n.º 19 (27 de septiembre de 2021): 10743. http://dx.doi.org/10.3390/su131910743.
Texto completoDayana, Ms, K. Keerthika, E. Bibilin Manuela y J. Julie Christina. "Prediction of Cardiovascular Disease Using PySpark Techniques". International Journal for Research in Applied Science and Engineering Technology 10, n.º 6 (30 de junio de 2022): 1228–33. http://dx.doi.org/10.22214/ijraset.2022.44018.
Texto completoKanavos, Andreas, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos y Phivos Mylonas. "A Regularization-Based Big Data Framework for Winter Precipitation Forecasting on Streaming Data". Electronics 10, n.º 16 (4 de agosto de 2021): 1872. http://dx.doi.org/10.3390/electronics10161872.
Texto completoLasri, Imane, Anouar Riadsolh y Mourad Elbelkacemi. "Real-time Twitter Sentiment Analysis for Moroccan Universities using Machine Learning and Big Data Technologies". International Journal of Emerging Technologies in Learning (iJET) 18, n.º 05 (7 de marzo de 2023): 42–61. http://dx.doi.org/10.3991/ijet.v18i05.35959.
Texto completoRabhi, Loubna, Noureddine Falih, Lekbir Afraites y Belaid Bouikhalene. "Digital agriculture based on big data analytics: a focus on predictive irrigation for smart farming in Morocco". Indonesian Journal of Electrical Engineering and Computer Science 24, n.º 1 (1 de octubre de 2021): 581. http://dx.doi.org/10.11591/ijeecs.v24.i1.pp581-589.
Texto completoZhang, Xiongwei, Hager Saleh, Eman M. G. Younis, Radhya Sahal y Abdelmgeid A. Ali. "Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System". Complexity 2020 (19 de diciembre de 2020): 1–10. http://dx.doi.org/10.1155/2020/6688912.
Texto completoAlnafessah, Ahmad y Giuliano Casale. "Artificial neural networks based techniques for anomaly detection in Apache Spark". Cluster Computing 23, n.º 2 (23 de octubre de 2019): 1345–60. http://dx.doi.org/10.1007/s10586-019-02998-y.
Texto completoAzeroual, Otmane y Anastasija Nikiforova. "Apache Spark and MLlib-Based Intrusion Detection System or How the Big Data Technologies Can Secure the Data". Information 13, n.º 2 (24 de enero de 2022): 58. http://dx.doi.org/10.3390/info13020058.
Texto completoКолмогорова, С. С. y Н. О. Голубятникова. "ON THE APPLICATION OF BIG DATA STRUCTURE REGULARIZATION IN A DISTRIBUTED EVALUATION SYSTEM FOR EMERGENCY PARAMETERS". ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, n.º 5 (17 de noviembre de 2022): 91–99. http://dx.doi.org/10.36622/vstu.2022.18.5.012.
Texto completoElia, Domenico, Gioacchino Vino, Giacinto Donvito y Marica Antonacci. "Developing a monitoring system for Cloud-based distributed data-centers". EPJ Web of Conferences 214 (2019): 08012. http://dx.doi.org/10.1051/epjconf/201921408012.
Texto completoAlomari, Ebtesam, Iyad Katib, Aiiad Albeshri, Tan Yigitcanlar y Rashid Mehmood. "Iktishaf+: A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning". Sensors 21, n.º 9 (24 de abril de 2021): 2993. http://dx.doi.org/10.3390/s21092993.
Texto completoAlmalki, Jameel. "A machine learning-based approach for sentiment analysis on distance learning from Arabic Tweets". PeerJ Computer Science 8 (26 de julio de 2022): e1047. http://dx.doi.org/10.7717/peerj-cs.1047.
Texto completoSibirskaya, E. V., L. V. Oveshnikova y I. R. Lyapina. "MONITORING THE LABOR MARKET USING BIG DATA ANALYTICS TECHNOLOGIES". Economic Science and Humanities 364, n.º 5 (2022): 92–105. http://dx.doi.org/10.33979/2073-7424-2022-364-5-92-105.
Texto completoGautier, W., S. Falquier y S. Gaudan. "MARITIME BIG DATA ANALYSIS WITH ARLAS". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W2-2021 (19 de agosto de 2021): 71–76. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-71-2021.
Texto completoAzaiz, Mohamed Amine y Djamel Amar Bensaber. "An Efficient Parallel Hybrid Feature Selection Approach for Big Data Analysis". International Journal of Swarm Intelligence Research 13, n.º 1 (1 de enero de 2022): 1–22. http://dx.doi.org/10.4018/ijsir.308291.
Texto completoAlotaibi, Shoayee, Rashid Mehmood, Iyad Katib, Omer Rana y Aiiad Albeshri. "Sehaa: A Big Data Analytics Tool for Healthcare Symptoms and Diseases Detection Using Twitter, Apache Spark, and Machine Learning". Applied Sciences 10, n.º 4 (19 de febrero de 2020): 1398. http://dx.doi.org/10.3390/app10041398.
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