Academic literature on the topic 'Big Data analytics applications'
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Journal articles on the topic "Big Data analytics applications"
K., Sangeetha, Poongothai T., Anguraj S., and Nithya Kalyani S. "An Overview of Applications of Big Data Analytics." Bonfring International Journal of Software Engineering and Soft Computing 8, no. 1 (March 30, 2018): 06–11. http://dx.doi.org/10.9756/bijsesc.8381.
Full textBi, Zhuming, and David Cochran. "Big data analytics with applications." Journal of Management Analytics 1, no. 4 (October 2, 2014): 249–65. http://dx.doi.org/10.1080/23270012.2014.992985.
Full textMemon, Mashooque A., Safeeullah Soomro, Awais K. Jumani, and Muneer A. Kartio. "Big Data Analytics and Its Applications." Annals of Emerging Technologies in Computing 1, no. 1 (October 1, 2017): 45–54. http://dx.doi.org/10.33166/aetic.2017.01.006.
Full textDas, Nivedita, Leena Das, Siddharth Swarup Rautaray, and Manjusha Pandey. "Big Data Analytics for Medical Applications." International Journal of Modern Education and Computer Science 10, no. 2 (February 8, 2018): 35–42. http://dx.doi.org/10.5815/ijmecs.2018.02.04.
Full textAl-Sai, Zaher Ali, Mohd Heikal Husin, Sharifah Mashita Syed-Mohamad, Rasha Moh’d Sadeq Abdin, Nour Damer, Laith Abualigah, and Amir H. Gandomi. "Explore Big Data Analytics Applications and Opportunities: A Review." Big Data and Cognitive Computing 6, no. 4 (December 14, 2022): 157. http://dx.doi.org/10.3390/bdcc6040157.
Full textRavada, Siva. "Big data spatial analytics for enterprise applications." SIGSPATIAL Special 6, no. 2 (March 10, 2015): 34–41. http://dx.doi.org/10.1145/2744700.2744705.
Full textIslam, Akinul. "Applications of Real-Time Big Data Analytics." International Journal of Computer Applications 144, no. 5 (June 17, 2016): 1–5. http://dx.doi.org/10.5120/ijca2016910208.
Full textAkinnagbe, Akindele, K. Dharini Amitha Peiris, and Oluyemi Akinloye. "Prospects of Big Data Analytics in Africa Healthcare System." Global Journal of Health Science 10, no. 6 (May 8, 2018): 114. http://dx.doi.org/10.5539/gjhs.v10n6p114.
Full textWoodard, Joshua. "Big data and Ag-Analytics." Agricultural Finance Review 76, no. 1 (May 3, 2016): 15–26. http://dx.doi.org/10.1108/afr-03-2016-0018.
Full textHassani, Hossein, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani, and Mohammad Reza Yeganegi. "Text Mining in Big Data Analytics." Big Data and Cognitive Computing 4, no. 1 (January 16, 2020): 1. http://dx.doi.org/10.3390/bdcc4010001.
Full textDissertations / Theses on the topic "Big Data analytics applications"
Al-Shiakhli, Sarah. "Big Data Analytics: A Literature Review Perspective." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74173.
Full textTalevi, Iacopo. "Big Data Analytics and Application Deployment on Cloud Infrastructure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14408/.
Full textAbounia, Omran Behzad. "Application of Data Mining and Big Data Analytics in the Construction Industry." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu148069742849934.
Full textZhang, Liangwei. "Big Data Analytics for Fault Detection and its Application in Maintenance." Doctoral thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-60423.
Full textGreen, Oded. "High performance computing for irregular algorithms and applications with an emphasis on big data analytics." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51860.
Full textSvenningsson, Philip, and Maximilian Drubba. "How to capture that business value everyone talks about? : An exploratory case study on business value in agile big data analytics organizations." Thesis, Internationella Handelshögskolan, Jönköping University, IHH, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48882.
Full textZubar, Tymofiy, Тимофій Андрійович Зубар, Olena Volovyk, and Олена Іванівна Воловик. "Big data in logistics: last mile application." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/50494.
Full textBig data is revolutionizing many business areas, including logistics and business processes in it. The complexity and dynamics of logistics, coupled with the reliance on many movable parts, can cause bottlenecks at any point in the supply chain, making big data application a vital element of effectiveness in logistical processes design and management. For example, big data logistics can be used to optimize routing, simplify factory functions and give transparency to the entire supply chain, from which both logistics companies and shipping companies may benefit. The third-party logistical company and a transportation company may agree on this issue. Though big data require a large number of high-quality information sources to work effectively.
Великі дані зробили революцію в багатьох сферах бізнесу, включаючи логістику та бізнес-процеси в ній. Складність та динаміка логістики в поєднанні з опорою на багато рухомих частин можуть спричинити вузькі місця у будь-якій точці ланцюга поставок, роблячи застосування великих даних важливим елементом ефективності у проектуванні та управлінні логістичними процесами. Наприклад, логістика великих даних може бути використана для оптимізації маршрутизації, спрощення заводських функцій та надання прозорості усьому ланцюжку поставок, від чого можуть виграти як логістичні компанії, так і судноплавні компанії. Стороння логістична компанія та транспортна компанія можуть домовитись щодо цього питання. Хоча великі дані вимагають великої кількості високоякісних джерел інформації для ефективної роботи.
Cui, Henggang. "Exploiting Application Characteristics for Efficient System Support of Data-Parallel Machine Learning." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/908.
Full textSharma, Rahil. "Shared and distributed memory parallel algorithms to solve big data problems in biological, social network and spatial domain applications." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/2277.
Full textMatteuzzi, Tommaso. "Network diffusion methods for omics big bio data analytics and interpretation with application to cancer datasets." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13660/.
Full textBooks on the topic "Big Data analytics applications"
Alani, Mohammed M., Hissam Tawfik, Mohammed Saeed, and Obinna Anya, eds. Applications of Big Data Analytics. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76472-6.
Full textPrabhu, C. S. R., Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghosh, and L. M. Jenila Livingston. Big Data Analytics: Systems, Algorithms, Applications. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0094-7.
Full textBig data: Algorithms, analytics, and applications. Boca Raton: CRC Press, Taylor & Francis Group, 2015.
Find full textYaseen, Saad G., ed. Digital Economy, Business Analytics, and Big Data Analytics Applications. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05258-3.
Full textSeng, Kah Phooi, Li-minn Ang, Alan Wee-Chung Liew, and Junbin Gao, eds. Multimodal Analytics for Next-Generation Big Data Technologies and Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97598-6.
Full textPani, Subhendu Kumar, Somanath Tripathy, Talal Ashraf Butt, Sumit Kundu, and George Jandieri. Applications of Machine Learning in Big-Data Analytics and Cloud Computing. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337218.
Full textHassanien, Aboul Ella, and Ashraf Darwish, eds. Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59338-4.
Full textPehcevski, Jovan. Big Data Analytics - Methods and Applications. Arcler Education Inc, 2018.
Find full textYang, Laurence T., Kuan-Ching Li, Alfredo Cuzzocrea, and Hai Jiang. Big Data: Algorithms, Analytics, and Applications. Taylor & Francis Group, 2015.
Find full textLivingston, L. M. Jenila, C. S. R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, and Rohit Ghosh. Big Data Analytics: Systems, Algorithms, Applications. Springer Singapore Pte. Limited, 2020.
Find full textBook chapters on the topic "Big Data analytics applications"
Tsai, Chun-Wei, Chin-Feng Lai, Han-Chieh Chao, and Athanasios V. Vasilakos. "Big Data Analytics." In Big Data Technologies and Applications, 13–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44550-2_2.
Full textPrabhu, C. S. R., Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghosh, and L. M. Jenila Livingston. "Big Data Analytics." In Big Data Analytics: Systems, Algorithms, Applications, 1–23. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0094-7_1.
Full textAbhijit, Suprem. "Big Data Analysis Technology and Applications." In Big Data Analytics, 249–316. Boca Raton, FL : Taylor & Francis Group, [2018] | “A science publishers book.”: CRC Press, 2018. http://dx.doi.org/10.1201/9781315112626-12.
Full textPusala, Murali K., Mohsen Amini Salehi, Jayasimha R. Katukuri, Ying Xie, and Vijay Raghavan. "Massive Data Analysis: Tasks, Tools, Applications, and Challenges." In Big Data Analytics, 11–40. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3628-3_2.
Full textHasan, Nabeela, and Mansaf Alam. "Applications of Big Data Analytics in Supply-Chain Management." In Big Data Analytics, 173–99. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9781003175711-10.
Full textKaushik, Prachi, and Suraiya Jabin. "Advancements and Challenges in Business Applications of SAR Images." In Big Data Analytics, 87–111. Boca Raton: Auerbach Publications, 2021. http://dx.doi.org/10.1201/9781003175711-6.
Full textSingh, Dhananjay Kumar, Pijush Kanti Dutta Pramanik, and Prasenjit Choudhury. "Big Graph Analytics: Techniques, Tools, Challenges, and Applications." In Data Analytics, 171–97. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429446177-7.
Full textParuchuri, Praveen, and Sujit Gujar. "Fusion of Game Theory and Big Data for AI Applications." In Big Data Analytics, 55–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04780-1_4.
Full textSimmhan, Yogesh, and Srinath Perera. "Big Data Analytics Platforms for Real-Time Applications in IoT." In Big Data Analytics, 115–35. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3628-3_7.
Full textPriyadarshini, Rojalina, Rabindra K. Barik, and Brojo Kishore Mishra. "Analysis of Deep Learning Tools and Applications in e-Healthcare." In Big Data Analytics, 68–90. Boca Raton, FL : Taylor & Francis Group, [2018] | “A science publishers book.”: CRC Press, 2018. http://dx.doi.org/10.1201/9781315112626-4.
Full textConference papers on the topic "Big Data analytics applications"
Chandarana, Parth, and M. Vijayalakshmi. "Big Data analytics frameworks." In 2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA). IEEE, 2014. http://dx.doi.org/10.1109/cscita.2014.6839299.
Full textShatnawi, Mohammed Q., Muneer Bani Yassein, Qusai Abuein, and Lujain Nsuir. "Big data analytics tools and applications." In the Second International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3368691.3368741.
Full textNeshatpour, Katayoun, Maria Malik, Mohammad Ali Ghodrat, Avesta Sasan, and Houman Homayoun. "Energy-efficient acceleration of big data analytics applications using FPGAs." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363748.
Full text"Big Data Management and Analytics for Supporting Smart Healthcare Applications." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020839.
Full textTamez, Giovanni, Danytza Castillo, Aaron Colmenero, Jorge A. Ayala, and Colleen Bailey. "Machine learning application to hydraulic fracturing." In Big Data: Learning, Analytics, and Applications, edited by Fauzia Ahmad. SPIE, 2019. http://dx.doi.org/10.1117/12.2518996.
Full textTahmassebi, Amirhessam, Anahid Ehtemami, Behshad Mohebali, Amir H. Gandomi, Katja Pinker, and Anke Meyer-Baese. "Big data analytics in medical imaging using deep learning." In Big Data: Learning, Analytics, and Applications, edited by Fauzia Ahmad. SPIE, 2019. http://dx.doi.org/10.1117/12.2516014.
Full textAmin, Moeness G., Arun Ravisankar, and Ronny G. Guendel. "RF sensing for continuous monitoring of human activities for home consumer applications." In Big Data: Learning, Analytics, and Applications, edited by Fauzia Ahmad. SPIE, 2019. http://dx.doi.org/10.1117/12.2519984.
Full textLiu, Ying, Zach Bellay, Payton Bradsky, Glen Chandler, and Brandon Craig. "Edge-to-fog computing for color-assisted moving object detection." In Big Data: Learning, Analytics, and Applications, edited by Fauzia Ahmad. SPIE, 2019. http://dx.doi.org/10.1117/12.2516023.
Full textMohebali, Behshad, Amirhessam Tahmassebi, Amir H. Gandomi, and Anke Meyer-Bäse. "A big data inspired preprocessing scheme for bandwidth use optimization in smart cities applications using Raspberry Pi." In Big Data: Learning, Analytics, and Applications, edited by Fauzia Ahmad. SPIE, 2019. http://dx.doi.org/10.1117/12.2517440.
Full textBekit, Adam, Charles J. Della Porta, Bernard H. Lampe, Bai Xue, and Chein-I. Chang. "Unsupervised automatic target generation process via compressive sensing." In Big Data: Learning, Analytics, and Applications, edited by Fauzia Ahmad. SPIE, 2019. http://dx.doi.org/10.1117/12.2518359.
Full textReports on the topic "Big Data analytics applications"
Mazorchuk, Mariia S., Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska, and Oleksandr V. Prokhorov. Cloud technologies and learning analytics: web application for PISA results analysis and visualization. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4451.
Full textAnsari, A., S. Mohaghegh, M. Shahnam, J. F. Dietiker, and T. Li. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Report Two: Model Building at the Cell Level. Office of Scientific and Technical Information (OSTI), April 2018. http://dx.doi.org/10.2172/1431303.
Full textAnsari, A., S. Mohaghegh, M. Shahnam, J. F. Dietiker, T. Li, and A. Gel. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part Three: Model Building at the Layer Level. Office of Scientific and Technical Information (OSTI), May 2018. http://dx.doi.org/10.2172/1463895.
Full textDoucet, Rachel A., Deyan M. Dontchev, Javon S. Burden, and Thomas L. Skoff. Big Data Analytics Test Bed. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada589903.
Full textRuch, Marc Lavi. Data Analytics for Nonproliferation Applications. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1529508.
Full textAnsari, A., S. Mohaghegh, M. Shahnam, J. F. Dietiker, A. Takbiri Borujeni, and E. Fathi. Data Driven Smart Proxy for CFD: Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Part One: Proof of Concept; NETL-PUB-21574; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2017. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1417305.
Full textAlexandrov, Boian, Velimir Valentinov Vesselinov, and Hristo Nikolov Djidjev. Non-negative Tensor Factorization for Robust Exploratory Big-Data Analytics. Office of Scientific and Technical Information (OSTI), January 2018. http://dx.doi.org/10.2172/1417803.
Full textYin, Rongxin, Girish Ghatikar, and Mary Piette. Big-Data Analytics for Electric Grid and Demand-Side Management. Office of Scientific and Technical Information (OSTI), May 2019. http://dx.doi.org/10.2172/1773709.
Full textKezunovic, Mladen, Tatjana Djokic, Rashid Baembitov, Taif Mohamed, Zoran Obradovic, Ameen Hai, Mohammad Alqudah, et al. Big Data Synchrophasor Monitoring and Analytics for Resiliency Tracking (BDSMART). Office of Scientific and Technical Information (OSTI), September 2022. http://dx.doi.org/10.2172/1887273.
Full textHerzer, John A., and Pengchu Zhang. The Bird project: Using Big Data tools to support Search Analytics. Office of Scientific and Technical Information (OSTI), January 2017. http://dx.doi.org/10.2172/1505412.
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