Статті в журналах з теми "Big Data, Machine Learning, Data Science, Apache Spark"
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Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Big Data, Machine Learning, Data Science, Apache Spark".
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Mutasher, Watheq Ghanim, and Abbas Fadhil Aljuboori. "Real Time Big Data Sentiment Analysis and Classification of Facebook." Webology 19, no. 1 (January 20, 2022): 1112–27. http://dx.doi.org/10.14704/web/v19i1/web19076.
Повний текст джерелаOmar, Hoger Khayrolla, and Alaa Khalil Jumaa. "Distributed big data analysis using spark parallel data processing." Bulletin of Electrical Engineering and Informatics 11, no. 3 (June 1, 2022): 1505–15. http://dx.doi.org/10.11591/eei.v11i3.3187.
Повний текст джерелаOmar, Hoger Khayrolla, and Alaa Khalil Jumaa. "Big Data Analysis Using Apache Spark MLlib and Hadoop HDFS with Scala and Java." Kurdistan Journal of Applied Research 4, no. 1 (May 8, 2019): 7–14. http://dx.doi.org/10.24017/science.2019.1.2.
Повний текст джерелаWei, Chih-Chiang, and Tzu-Hao Chou. "Typhoon Quantitative Rainfall Prediction from Big Data Analytics by Using the Apache Hadoop Spark Parallel Computing Framework." Atmosphere 11, no. 8 (August 17, 2020): 870. http://dx.doi.org/10.3390/atmos11080870.
Повний текст джерелаGupta, Madhuri, and Bharat Gupta. "Survey of Breast Cancer Detection Using Machine Learning Techniques in Big Data." Journal of Cases on Information Technology 21, no. 3 (July 2019): 80–92. http://dx.doi.org/10.4018/jcit.2019070106.
Повний текст джерелаKamburugamuve, Supun, Pulasthi Wickramasinghe, Saliya Ekanayake, and Geoffrey C. Fox. "Anatomy of machine learning algorithm implementations in MPI, Spark, and Flink." International Journal of High Performance Computing Applications 32, no. 1 (July 2, 2017): 61–73. http://dx.doi.org/10.1177/1094342017712976.
Повний текст джерелаÖzgüven, Yavuz, Utku Gönener, and Süleyman Eken. "A Dockerized big data architecture for sports analytics." Computer Science and Information Systems, no. 00 (2022): 10. http://dx.doi.org/10.2298/csis220118010o.
Повний текст джерелаConcolato, Claude E., and Li M. Chen. "Data Science: A New Paradigm in the Age of Big-Data Science and Analytics." New Mathematics and Natural Computation 13, no. 02 (July 2017): 119–43. http://dx.doi.org/10.1142/s1793005717400038.
Повний текст джерелаMyung, Rohyoung, and Sukyong Choi. "Machine-Learning Based Memory Prediction Model for Data Parallel Workloads in Apache Spark." Symmetry 13, no. 4 (April 16, 2021): 697. http://dx.doi.org/10.3390/sym13040697.
Повний текст джерелаHussin, Sahar K., Salah M. Abdelmageid, Adel Alkhalil, Yasser M. Omar, Mahmoud I. Marie, and Rabie A. Ramadan. "Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms." Complexity 2021 (January 28, 2021): 1–15. http://dx.doi.org/10.1155/2021/6675279.
Повний текст джерелаAbdel-Fattah, Manal A., Nermin Abdelhakim Othman, and Nagwa Goher. "Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark." Computational Intelligence and Neuroscience 2022 (February 23, 2022): 1–12. http://dx.doi.org/10.1155/2022/9898831.
Повний текст джерелаDener, Murat, Gökçe Ok, and Abdullah Orman. "Malware Detection Using Memory Analysis Data in Big Data Environment." Applied Sciences 12, no. 17 (August 27, 2022): 8604. http://dx.doi.org/10.3390/app12178604.
Повний текст джерелаAsaithambi, Suriya, Sitalakshmi Venkatraman, and Ramanathan Venkatraman. "Big Data and Personalisation for Non-Intrusive Smart Home Automation." Big Data and Cognitive Computing 5, no. 1 (January 30, 2021): 6. http://dx.doi.org/10.3390/bdcc5010006.
Повний текст джерелаKhan, Muhammad Ashfaq, Md Rezaul Karim, and 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, no. 10 (October 11, 2018): 485. http://dx.doi.org/10.3390/sym10100485.
Повний текст джерелаHosseini, Behrooz, and Kourosh Kiani. "A Robust Distributed Big Data Clustering-based on Adaptive Density Partitioning using Apache Spark." Symmetry 10, no. 8 (August 15, 2018): 342. http://dx.doi.org/10.3390/sym10080342.
Повний текст джерелаAlexopoulos, Athanasios, Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, and Gerasimos Vonitsanos. "Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark." Algorithms 13, no. 3 (March 24, 2020): 71. http://dx.doi.org/10.3390/a13030071.
Повний текст джерелаKokkinos, Konstantinos, and Eftihia Nathanail. "Exploring an Ensemble of Textual Machine Learning Methodologies for Traffic Event Detection and Classification." Transport and Telecommunication Journal 21, no. 4 (December 1, 2020): 285–94. http://dx.doi.org/10.2478/ttj-2020-0023.
Повний текст джерелаCerquitelli, Tania, Giovanni Malnati, and Daniele Apiletti. "Exploiting Scalable Machine-Learning Distributed Frameworks to Forecast Power Consumption of Buildings." Energies 12, no. 15 (July 31, 2019): 2933. http://dx.doi.org/10.3390/en12152933.
Повний текст джерелаMunawar, Hafiz Suliman, Siddra Qayyum, Fahim Ullah, and 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, no. 2 (March 26, 2020): 4. http://dx.doi.org/10.3390/bdcc4020004.
Повний текст джерелаBandi, Raswitha, J. Amudhavel, and R. Karthik. "Machine Learning with PySpark - Review." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (October 1, 2018): 102. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp102-106.
Повний текст джерелаMalleswari, M., R. J. Manira, Praveen Kumar, and Murugan . "Comparative Analysis of Machine Learning Techniques to Identify Churn for Telecom Data." International Journal of Engineering & Technology 7, no. 3.34 (September 1, 2018): 291. http://dx.doi.org/10.14419/ijet.v7i3.34.19210.
Повний текст джерелаJankatti, Santosh, Raghavendra B. K., Raghavendra S., and 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, no. 4 (August 1, 2020): 3811. http://dx.doi.org/10.11591/ijece.v10i4.pp3811-3818.
Повний текст джерелаAminudin, Aminudin, and Eko Budi Cahyono. "Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing." Jurnal Teknologi Informasi dan Ilmu Komputer 6, no. 5 (October 8, 2019): 519. http://dx.doi.org/10.25126/jtiik.2019651520.
Повний текст джерелаLiu, K., and 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 (August 20, 2015): 553–57. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-553-2015.
Повний текст джерелаArmanur Rahman, Md, Abid Hossen, J. Hossen, Venkataseshaiah C, Thangavel Bhuvaneswari, and Aziza Sultana. "Towards machine learning-based self-tuning of Hadoop-Spark system." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 2 (August 1, 2019): 1076. http://dx.doi.org/10.11591/ijeecs.v15.i2.pp1076-1085.
Повний текст джерелаSaeed, Mozamel M., Zaher Al Aghbari, and Mohammed Alsharidah. "Big data clustering techniques based on Spark: a literature review." PeerJ Computer Science 6 (November 30, 2020): e321. http://dx.doi.org/10.7717/peerj-cs.321.
Повний текст джерелаKarsi, Redouane, Mounia Zaim, and 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, no. 4 (December 1, 2021): 990. http://dx.doi.org/10.11591/ijai.v10.i4.pp990-996.
Повний текст джерелаBoachie, Emmanuel, and 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, no. 4 (2018): 1. http://dx.doi.org/10.1504/ijceell.2018.10017171.
Повний текст джерелаBoachie, Emmanuel, and 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, no. 1/2 (2019): 5. http://dx.doi.org/10.1504/ijceell.2019.099217.
Повний текст джерелаYamuna Bee, Mrs J., E. Naveena, Reshma Elizabeth Thomas, Arathi Chandran, Siva Subramania Raja M, and 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, no. 06 (June 22, 2021): 1257–66. http://dx.doi.org/10.51201/jusst/21/06427.
Повний текст джерелаRodrigues, Anisha P., Roshan Fernandes, Adarsh Bhandary, Asha C. Shenoy, Ashwanth Shetty, and M. Anisha. "Real-Time Twitter Trend Analysis Using Big Data Analytics and Machine Learning Techniques." Wireless Communications and Mobile Computing 2021 (October 25, 2021): 1–13. http://dx.doi.org/10.1155/2021/3920325.
Повний текст джерелаBoden, Christoph, Tilmann Rabl, and Volker Markl. "The Berlin Big Data Center (BBDC)." it - Information Technology 60, no. 5-6 (December 19, 2018): 321–26. http://dx.doi.org/10.1515/itit-2018-0016.
Повний текст джерелаKhamaru, Ananda, and 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, no. 11 (November 30, 2022): 109–30. http://dx.doi.org/10.47760/ijcsmc.2022.v11i11.009.
Повний текст джерелаBagui, Sikha, Jason Simonds, Russell Plenkers, Timothy A. Bennett, and 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, no. 1 (January 2021): 1–23. http://dx.doi.org/10.4018/ijbdia.287617.
Повний текст джерелаAwan, Mazhar Javed, Umar Farooq, Hafiz Muhammad Aqeel Babar, Awais Yasin, Haitham Nobanee, Muzammil Hussain, Owais Hakeem, and Azlan Mohd Zain. "Real-Time DDoS Attack Detection System Using Big Data Approach." Sustainability 13, no. 19 (September 27, 2021): 10743. http://dx.doi.org/10.3390/su131910743.
Повний текст джерелаDayana, Ms, K. Keerthika, E. Bibilin Manuela, and J. Julie Christina. "Prediction of Cardiovascular Disease Using PySpark Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 1228–33. http://dx.doi.org/10.22214/ijraset.2022.44018.
Повний текст джерелаKanavos, Andreas, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos, and Phivos Mylonas. "A Regularization-Based Big Data Framework for Winter Precipitation Forecasting on Streaming Data." Electronics 10, no. 16 (August 4, 2021): 1872. http://dx.doi.org/10.3390/electronics10161872.
Повний текст джерелаLasri, Imane, Anouar Riadsolh, and 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, no. 05 (March 7, 2023): 42–61. http://dx.doi.org/10.3991/ijet.v18i05.35959.
Повний текст джерелаRabhi, Loubna, Noureddine Falih, Lekbir Afraites, and 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, no. 1 (October 1, 2021): 581. http://dx.doi.org/10.11591/ijeecs.v24.i1.pp581-589.
Повний текст джерелаZhang, Xiongwei, Hager Saleh, Eman M. G. Younis, Radhya Sahal, and Abdelmgeid A. Ali. "Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System." Complexity 2020 (December 19, 2020): 1–10. http://dx.doi.org/10.1155/2020/6688912.
Повний текст джерелаAlnafessah, Ahmad, and Giuliano Casale. "Artificial neural networks based techniques for anomaly detection in Apache Spark." Cluster Computing 23, no. 2 (October 23, 2019): 1345–60. http://dx.doi.org/10.1007/s10586-019-02998-y.
Повний текст джерелаAzeroual, Otmane, and Anastasija Nikiforova. "Apache Spark and MLlib-Based Intrusion Detection System or How the Big Data Technologies Can Secure the Data." Information 13, no. 2 (January 24, 2022): 58. http://dx.doi.org/10.3390/info13020058.
Повний текст джерелаКолмогорова, С. С., and Н. О. Голубятникова. "ON THE APPLICATION OF BIG DATA STRUCTURE REGULARIZATION IN A DISTRIBUTED EVALUATION SYSTEM FOR EMERGENCY PARAMETERS." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 5 (November 17, 2022): 91–99. http://dx.doi.org/10.36622/vstu.2022.18.5.012.
Повний текст джерелаElia, Domenico, Gioacchino Vino, Giacinto Donvito, and 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.
Повний текст джерелаAlomari, Ebtesam, Iyad Katib, Aiiad Albeshri, Tan Yigitcanlar, and Rashid Mehmood. "Iktishaf+: A Big Data Tool with Automatic Labeling for Road Traffic Social Sensing and Event Detection Using Distributed Machine Learning." Sensors 21, no. 9 (April 24, 2021): 2993. http://dx.doi.org/10.3390/s21092993.
Повний текст джерелаAlmalki, Jameel. "A machine learning-based approach for sentiment analysis on distance learning from Arabic Tweets." PeerJ Computer Science 8 (July 26, 2022): e1047. http://dx.doi.org/10.7717/peerj-cs.1047.
Повний текст джерелаSibirskaya, E. V., L. V. Oveshnikova, and I. R. Lyapina. "MONITORING THE LABOR MARKET USING BIG DATA ANALYTICS TECHNOLOGIES." Economic Science and Humanities 364, no. 5 (2022): 92–105. http://dx.doi.org/10.33979/2073-7424-2022-364-5-92-105.
Повний текст джерелаGautier, W., S. Falquier, and S. Gaudan. "MARITIME BIG DATA ANALYSIS WITH ARLAS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W2-2021 (August 19, 2021): 71–76. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-71-2021.
Повний текст джерелаAzaiz, Mohamed Amine, and Djamel Amar Bensaber. "An Efficient Parallel Hybrid Feature Selection Approach for Big Data Analysis." International Journal of Swarm Intelligence Research 13, no. 1 (January 1, 2022): 1–22. http://dx.doi.org/10.4018/ijsir.308291.
Повний текст джерелаAlotaibi, Shoayee, Rashid Mehmood, Iyad Katib, Omer Rana, and Aiiad Albeshri. "Sehaa: A Big Data Analytics Tool for Healthcare Symptoms and Diseases Detection Using Twitter, Apache Spark, and Machine Learning." Applied Sciences 10, no. 4 (February 19, 2020): 1398. http://dx.doi.org/10.3390/app10041398.
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