Academic literature on the topic 'Streaming Data Processing for Machine Learning'
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Journal articles on the topic "Streaming Data Processing for Machine Learning"
Bajwa, Waheed U., Volkan Cevher, Dimitris Papailiopoulos, and Anna Scaglione. "Machine Learning From Distributed, Streaming Data [From the Guest Editors]." IEEE Signal Processing Magazine 37, no. 3 (2020): 11–13. http://dx.doi.org/10.1109/msp.2020.2972654.
Full textKhan, Muhammad Taimoor, Mehr Durrani, Shehzad Khalid, and Furqan Aziz. "Online Knowledge-Based Model for Big Data Topic Extraction." Computational Intelligence and Neuroscience 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/6081804.
Full textBandi, Raswitha, J. Amudhavel, and R. Karthik. "Machine Learning with PySpark - Review." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 102. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp102-106.
Full textBoachie, 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.
Full textBoachie, 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.
Full textHassan, Fawzya, and Masoud E. Shaheen. "Predicting Diabetes from Health-based Streaming Data using Social Media, Machine Learning and Stream Processing Technologies." International Journal of Engineering Research and Technology 13, no. 8 (2020): 1957. http://dx.doi.org/10.37624/ijert/13.8.2020.1957-1967.
Full textBorodo, Salisu Musa, Siti Mariyam Shamsuddin, and Shafaatunnur Hasan. "Big Data Platforms and Techniques." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 1 (2016): 191. http://dx.doi.org/10.11591/ijeecs.v1.i1.pp191-200.
Full textMahmood, Tariq, and Tatheer Fatima. "CONCEPT DRIFT IN STREAMING DATA: A SYSTEMATIC LITERATURE REVIEW." KIET Journal of Computing and Information Sciences 4, no. 1 (2021): 17. http://dx.doi.org/10.51153/kjcis.v4i1.43.
Full textCumbane, Silvino Pedro, and Gyozo Gidófalvi. "Review of Big Data and Processing Frameworks for Disaster Response Applications." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 387. http://dx.doi.org/10.3390/ijgi8090387.
Full textKim, Yoon-Ki, and Yongsung Kim. "DiPLIP: Distributed Parallel Processing Platform for Stream Image Processing Based on Deep Learning Model Inference." Electronics 9, no. 10 (2020): 1664. http://dx.doi.org/10.3390/electronics9101664.
Full textDissertations / Theses on the topic "Streaming Data Processing for Machine Learning"
García-Martín, Eva. "Extraction and Energy Efficient Processing of Streaming Data." Licentiate thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15532.
Full textKumar, Saurabh. "Real-Time Road Traffic Events Detection and Geo-Parsing." Thesis, Purdue University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10842958.
Full textÅkerström, Emelie. "Real-time Outlier Detection using Unbounded Data Streaming and Machine Learning." Thesis, Luleå tekniska universitet, Datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80044.
Full textWang, Zheng. "Machine learning based mapping of data and streaming parallelism to multi-cores." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5664.
Full textAlzubi, Omar A. "Designing machine learning ensembles : a game coalition approach." Thesis, Swansea University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678293.
Full textOsama, Muhammad. "Machine learning for spatially varying data." Licentiate thesis, Uppsala universitet, Avdelningen för systemteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-429234.
Full textAwodokun, Olugbenga. "Classification of Patterns in Streaming Data Using Clustering Signatures." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504880155623189.
Full textFothergill, John Simon. "The coaching-machine learning interface : indoor rowing." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648459.
Full textde, la Rúa Martínez Javier. "Scalable Architecture for Automating Machine Learning Model Monitoring." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280345.
Full textSvantesson, David. "Implementing Streaming Parallel Decision Trees on Graphic Processing Units." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230953.
Full textBooks on the topic "Streaming Data Processing for Machine Learning"
Putatunda, Sayan. Practical Machine Learning for Streaming Data with Python. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6867-4.
Full textBhattacharjee, Arup, Samir Kr Borgohain, Badal Soni, Gyanendra Verma, and Xiao-Zhi Gao, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6315-7.
Full textBhattacharjee, Arup, Samir Kr Borgohain, Badal Soni, Gyanendra Verma, and Xiao-Zhi Gao, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6318-8.
Full textUtgoff, Paul E. Machine learning of inductive bias. Kluwer Academic Publishers, 1986.
Find full textPathak, Manas A. Privacy-Preserving Machine Learning for Speech Processing. Springer New York, 2013.
Find full textAdvances in machine learning and data mining for astronomy. Chapman and Hall/CRC, 2012.
Find full textI, Williams Christopher K., ed. Gaussian processes for machine learning. MIT Press, 2006.
Find full textBook chapters on the topic "Streaming Data Processing for Machine Learning"
Agnihotram, Gopichand, Rajesh Kumar, Pandurang Naik, and Rahul Yadav. "Virtual Conversation with Real-Time Prediction of Body Moments/Gestures on Video Streaming Data." In Machine Learning and Information Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1884-3_11.
Full textSingh, Pramod. "Data Processing." In Machine Learning with PySpark. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4131-8_3.
Full textPutatunda, Sayan. "Supervised Learning for Streaming Data." In Practical Machine Learning for Streaming Data with Python. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6867-4_3.
Full textRengarajan, Krushnaa, and Vijay Krishna Menon. "Generalizing Streaming Pipeline Design for Big Data." In Machine Intelligence and Signal Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1366-4_12.
Full textŽliobaitė, Indrė, Albert Bifet, Bernhard Pfahringer, and Geoff Holmes. "Active Learning with Evolving Streaming Data." In Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23808-6_39.
Full textPutatunda, Sayan. "An Introduction to Streaming Data." In Practical Machine Learning for Streaming Data with Python. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6867-4_1.
Full textSingh, Himanshu. "Data Processing in AWS." In Practical Machine Learning with AWS. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6222-1_5.
Full textKang, Myeongsu, and Jing Tian. "Machine Learning: Data Pre-processing." In Prognostics and Health Management of Electronics. John Wiley and Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119515326.ch5.
Full textSarkar, Dipanjan, Raghav Bali, and Tushar Sharma. "Processing, Wrangling, and Visualizing Data." In Practical Machine Learning with Python. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3207-1_3.
Full textSuryadevara, Nagender. "Browser-Based Data Processing." In Beginning Machine Learning in the Browser. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6843-8_2.
Full textConference papers on the topic "Streaming Data Processing for Machine Learning"
Wu, Tong. "Online Tensor Low-Rank Representation for Streaming Data." In 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2020. http://dx.doi.org/10.1109/mlsp49062.2020.9231620.
Full textNaufal, Ahmad Naufal, Samy Abdelhamid Samy, Nenisurya Hashim Nenisurya, et al. "Machine Learning as Accelerating Tool in Remote Operation Realisation through Monitoring Oil and Gas Equipments and Identifying its Failure Mode." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21493-ms.
Full textYu, Wenjian, Yu Gu, Jian Li, Shenghua Liu, and Yaohang Li. "Single-Pass PCA of Large High-Dimensional Data." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/468.
Full textAbeykoon, Vibhatha, Supun Kamburugamuve, Kannan Govindrarajan, et al. "Streaming Machine Learning Algorithms with Big Data Systems." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006337.
Full textLima, Wesllen Sousa, and Eduardo J. P. Souto. "Reconhecimento de atividades humanas baseado na análise de fluxo contínuo de dados simbólicos." In Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/webmedia_estendido.2020.13054.
Full textTheodossiou, S., and N. Singh Rainu. "Digital Initiatives, Infrastructures and Data Ecosystems in the Maritime Sector." In International Conference on Marine Engineering and Technology Oman. IMarEST, 2019. http://dx.doi.org/10.24868/icmet.oman.2019.017.
Full textHerodotou, Herodotos, Despoina Chatzakou, and Nicolas Kourtellis. "A Streaming Machine Learning Framework for Online Aggression Detection on Twitter." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377980.
Full textWarren, Peter, Hessein Ali, Hossein Ebrahimi, and Ranajay Ghosh. "Rapid Defect Detection and Classification in Images Using Convolutional Neural Networks." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59801.
Full textWu, Haibo, Shiliang Shi, and Qifeng Nian. "Streaming Machine Learning For Real-Time Gas Concentration Prediction." In 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS). IEEE, 2019. http://dx.doi.org/10.1109/bigdatasecurity-hpsc-ids.2019.00019.
Full textKhade, Rohan, Jessica Lin, and Nital Patel. "Frequent Set Mining for Streaming Mixed and Large Data." In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.218.
Full textReports on the topic "Streaming Data Processing for Machine Learning"
Davis, Benjamin. Applying Machine Learning to the Classification of DC-DC Converters: Real-world data collection processing & Validation. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1670255.
Full textSalter, R., Quyen Dong, Cody Coleman, et al. Data Lake Ecosystem Workflow. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40203.
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