{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:20:40Z","timestamp":1742959240774,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030005627"},{"type":"electronic","value":"9783030005634"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00563-4_56","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T11:35:29Z","timestamp":1538739329000},"page":"579-588","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improved Big Data Analytics Solution Using Deep Learning Model and Real-Time Sentiment Data Analysis Approach"],"prefix":"10.1007","author":[{"given":"Chun-I Philip","family":"Chen","sequence":"first","affiliation":[]},{"given":"Jiangbin","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"issue":"3","key":"56_CR1","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1108\/LR-06-2015-0061","volume":"65","author":"A Mauro De","year":"2016","unstructured":"De Mauro, A., Greco, M., Grimaldi, M.: A formal definition of big data based on its essential features. Libr. Rev. 65(3), 122\u2013135 (2016)","journal-title":"Libr. Rev."},{"key":"56_CR2","volume-title":"Big Data Analytics","author":"V Ankam","year":"2016","unstructured":"Ankam, V.: Big Data Analytics. Packt Publishing, Birmingham (2016)"},{"key":"56_CR3","unstructured":"Corcoran, M.: The Five Types of Analytics. http:\/\/www.informationbuilders.es\/sites\/www.informationbuilders.com\/files\/intl\/co.uk\/presentations\/four_types_of_analytics.pdf?redir=true . Accessed 1 May 2018"},{"key":"56_CR4","volume-title":"Practical Machine Learning","author":"S Gollapudi","year":"2016","unstructured":"Gollapudi, S.: Practical Machine Learning. Packt Publishing, Birmingham (2016)"},{"key":"56_CR5","volume-title":"Learning Apache Mahout","author":"C Tiwary","year":"2015","unstructured":"Tiwary, C.: Learning Apache Mahout. Packt Publishing, Birmingham (2015)"},{"key":"56_CR6","unstructured":"Kashyap, A.: Neural Networks for Decision Boundary in Python! https:\/\/medium.com\/ml-algorithms\/neural-networks-for-decision-boundary-in-python-b243440fb7d1 . Accessed 5 Nov 2018"},{"key":"56_CR7","first-page":"254","volume":"5","author":"NM Elaraby","year":"2016","unstructured":"Elaraby, N.M., Elmogy, M., Barakat, S.: Deep learning: effective tool for big data analytics. Int. J. Comput. Sci. Eng. (IJCSE) 5, 254\u2013262 (2016)","journal-title":"Int. J. Comput. Sci. Eng. (IJCSE)"},{"key":"56_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-014-0007-7","volume":"2","author":"MM Najafabadi","year":"2015","unstructured":"Najafabadi, M.M., Villanustre, F., Khoshgoftaar, T.M., et al.: Deep learning applications and challenges in big data analytics. J. Big Data 2, 1\u201321 (2015)","journal-title":"J. Big Data"},{"key":"56_CR9","doi-asserted-by":"crossref","unstructured":"Khare, K., Darekar, O., et al.: Short term stock price prediction using deep learning. In: Recent Trends in Electronics, Information and Communication Technology, pp. 482\u2013486 (2017)","DOI":"10.1109\/RTEICT.2017.8256643"},{"key":"56_CR10","doi-asserted-by":"crossref","unstructured":"Vargas, M.R., de Lima, B.S.L.P., Evsukoff, A.G.: Deep learning for stock market prediction from financial news articles. In: Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp. 60\u201365 (2017)","DOI":"10.1109\/CIVEMSA.2017.7995302"},{"key":"56_CR11","volume-title":"Machine Learning in Java","author":"B Kalu\u017ea","year":"2016","unstructured":"Kalu\u017ea, B.: Machine Learning in Java. Packt Publishing, Birmingham (2016)"},{"key":"56_CR12","first-page":"64","volume":"5","author":"AR Ondieki","year":"2017","unstructured":"Ondieki, A.R., Okeyo, G.O., Kibe, A.: Stock price prediction using neural network models based on tweets sentiment scores. J. Comput. Sci. Appl. 5, 64\u201375 (2017)","journal-title":"J. Comput. Sci. Appl."},{"key":"56_CR13","doi-asserted-by":"crossref","unstructured":"Liu, V., Banea, C., et al.: Grounded emotions. In: 7th International Conference on Affective Computing and Intelligent Interaction, pp. 477\u2013483 (2017)","DOI":"10.1109\/ACII.2017.8273642"},{"key":"56_CR14","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.neucom.2018.01.076","volume":"287","author":"Z Wang","year":"2018","unstructured":"Wang, Z., et al.: A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos. Neurocomputing 287, 68\u201383 (2018)","journal-title":"Neurocomputing"},{"issue":"5","key":"56_CR15","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1109\/TMM.2009.2021782","volume":"11","author":"J Ren","year":"2009","unstructured":"Ren, J., Jiang, J.: Hierarchical modeling and adaptive clustering for real-time summarization of rush videos. IEEE Trans. Multimed. 11(5), 906\u2013917 (2009)","journal-title":"IEEE Trans. Multimed."},{"issue":"6","key":"56_CR16","doi-asserted-by":"publisher","first-page":"3325","DOI":"10.1109\/TGRS.2014.2374218","volume":"53","author":"J Han","year":"2015","unstructured":"Han, J., et al.: Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning. IEEE Trans. Geosci. Remote Sens. 53(6), 3325\u20133337 (2015)","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Lecture Notes in Computer Science","Advances in Brain Inspired Cognitive Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00563-4_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T09:56:09Z","timestamp":1571997369000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-00563-4_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030005627","9783030005634"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00563-4_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"BICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Inspired Cognitive Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 July 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bics2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bics2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}