{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T05:07:54Z","timestamp":1747285674569,"version":"3.37.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319920122"},{"type":"electronic","value":"9783319920139"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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\/978-3-319-92013-9_16","type":"book-chapter","created":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T08:57:09Z","timestamp":1526547429000},"page":"199-207","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["An Efficient Framework for the Analysis of Big Brain Signals Data"],"prefix":"10.1007","author":[{"family":"Supriya","sequence":"first","affiliation":[]},{"family":"Siuly","sequence":"additional","affiliation":[]},{"given":"Hua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yanchun","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,18]]},"reference":[{"key":"16_CR1","series-title":"Health Information Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-47653-7","volume-title":"EEG Signal Analysis and Classification: Techniques and Applications","author":"S Siuly","year":"2016","unstructured":"Siuly, S., Li, Y., Zhang, Y.: EEG Signal Analysis and Classification: Techniques and Applications. Health Information Science. Springer Nature, Heidelberg (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-47653-7\n\n. (ISBN 978-3-319-47653-7)"},{"issue":"2","key":"16_CR2","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/s41019-016-0011-3","volume":"1","author":"S Siuly","year":"2016","unstructured":"Siuly, S., Zhang, Y.: Medical big data: neurological diseases diagnosis through medical data analysis. Data Sci. Eng. 1(2), 54\u201364 (2016)","journal-title":"Data Sci. Eng."},{"key":"16_CR3","doi-asserted-by":"publisher","first-page":"588","DOI":"10.4028\/www.scientific.net\/SSP.147-149.588","volume":"147\u2013149","author":"M Derlatka","year":"2009","unstructured":"Derlatka, M., Pauk, J.: Data Mining in Analysis of Biomechanical Signals. Solid State Phenom. 147\u2013149, 588\u2013593 (2009)","journal-title":"Solid State Phenom."},{"key":"16_CR4","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1155\/2015\/370194","volume":"2015","author":"A Belle","year":"2015","unstructured":"Belle, A., Thiagarajan, R., Soroushmehr, S.M.R., Navidi, F., Beard, D.A., Najarian, K.: Big data analytics in healthcare. Biomed. Res. Int. 2015, 16 (2015). Article ID 370194","journal-title":"Biomed. Res. Int."},{"issue":"3","key":"16_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2513092.2500489","volume":"7","author":"T Rakthanmanon","year":"2013","unstructured":"Rakthanmanon, T., Campana, B., Mueen, A., Batista, G., Westover, B., Zhu, Q., et al.: Addressing big data time series. ACM Trans. Knowl. Discov. Data 7(3), 1\u201331 (2013)","journal-title":"ACM Trans. Knowl. Discov. Data"},{"issue":"1","key":"16_CR6","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1186\/2196-1115-1-2","volume":"1","author":"M Herland","year":"2014","unstructured":"Herland, M., Khoshgoftaar, T., Wald, R.: A review of data mining using big data in health informatics. J. Big Data 1(1), 2 (2014)","journal-title":"J. Big Data"},{"issue":"6","key":"16_CR7","doi-asserted-by":"publisher","first-page":"061907","DOI":"10.1103\/PhysRevE.64.061907","volume":"64","author":"R Andrzejak","year":"2001","unstructured":"Andrzejak, R., Lehnertz, K., Mormann, F., Rieke, C., David, P., Elger, C.: Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. Phys. Rev. E 64(6), 061907 (2001)","journal-title":"Phys. Rev. E"},{"key":"16_CR8","unstructured":"Bache, K., Lichman, M.: UCI machine learning repository. University of California, Irvine, School of Information and Computer (2013). \nhttp:\/\/archive.ics.uci.edu\/ml"},{"issue":"6","key":"16_CR9","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1016\/0361-9230(95)02023-5","volume":"38","author":"X Zhang","year":"1995","unstructured":"Zhang, X., Begleiter, H., Porjesz, B., Wang, W., Litke, A.: Event related potentials during object recognition tasks. Brain Res. Bull. 38(6), 531\u2013538 (1995)","journal-title":"Brain Res. Bull."},{"issue":"4","key":"16_CR10","doi-asserted-by":"publisher","first-page":"046103","DOI":"10.1103\/PhysRevE.80.046103","volume":"80","author":"B Luque","year":"2009","unstructured":"Luque, B., Lacasa, L., Ballesteros, F., Luque, J.: Horizontal visibility graphs: exact results for random time series. Phys. Rev. E 80(4), 046103 (2009)","journal-title":"Phys. Rev. E"},{"key":"16_CR11","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1007\/978-3-319-46922-5_5","volume-title":"Databases Theory and Applications","author":"S Supriya","year":"2016","unstructured":"Supriya, S., Siuly, S., Wang, H., Zhuo, G., Zhang, Y.: Analyzing EEG signal data for detection of epileptic seizure: introducing weight on visibility graph with complex network feature. In: Cheema, M., Zhang, W., Chang, L. (eds.) Databases Theory and Applications. LNCS, vol. 9877, pp. 56\u201366. Springer, Cham (2016). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46922-5_5"},{"issue":"17","key":"16_CR12","doi-asserted-by":"publisher","first-page":"1430","DOI":"10.1049\/el.2016.1992","volume":"52","author":"S Supriya","year":"2016","unstructured":"Supriya, S., Siuly, S., Zhang, Y.: Automatic epilepsy detection from EEG introducing a new edge weight method in the complex network. Electron. Lett. 52(17), 1430\u20131432 (2016)","journal-title":"Electron. Lett."},{"key":"16_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2008\/375452","volume":"2008","author":"I Antoniou","year":"2008","unstructured":"Antoniou, I., Tsompa, E.: Statistical: analysis of weighted networks. Discrete Dyn. Nat. Soc. 2008, 1\u201316 (2008)","journal-title":"Discrete Dyn. Nat. Soc."},{"issue":"4","key":"16_CR14","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.patcog.2008.09.025","volume":"42","author":"B Zhang","year":"2009","unstructured":"Zhang, B., Zhang, Y., Begg, R.: Gait classification in children with cerebral palsy by Bayesian approach. Pattern Recogn. 42(4), 581\u2013586 (2009)","journal-title":"Pattern Recogn."},{"issue":"5\u20136","key":"16_CR15","first-page":"729","volume":"16","author":"J Cao","year":"2012","unstructured":"Cao, J., Wu, Z., Mao, B., Zhang, Y.: Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system. World Wide Web 16(5\u20136), 729\u2013748 (2012)","journal-title":"World Wide Web"},{"key":"16_CR16","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.measurement.2016.02.059","volume":"86","author":"Siuly","year":"2016","unstructured":"Siuly, Wang, H., Zhang, Y.: Detection of motor imagery EEG signals employing Na\u00efve Bayes based learning process. Measurement 86, 148\u2013158 (2016)","journal-title":"Measurement"},{"key":"16_CR17","first-page":"3","volume":"160","author":"SB Kotsiantis","year":"2007","unstructured":"Kotsiantis, S.B., Zaharakis, I., Pintelas, P.: Supervised machine learning: a review of classification techniques. Emerg. Artif. Intell. Appl. Comput. Eng. 160, 3\u201324 (2007)","journal-title":"Emerg. Artif. Intell. Appl. Comput. Eng."},{"key":"16_CR18","doi-asserted-by":"publisher","first-page":"6554","DOI":"10.1109\/ACCESS.2016.2612242","volume":"4","author":"S Supriya","year":"2016","unstructured":"Supriya, S., Siuly, S., Wang, H., Cao, J., Zhang, Y.: Weighted visibility graph with complex network features in the detection of epilepsy. IEEE Access 4, 6554\u20136566 (2016)","journal-title":"IEEE Access"}],"container-title":["Lecture Notes in Computer Science","Databases Theory and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92013-9_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T09:01:55Z","timestamp":1526547715000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-92013-9_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319920122","9783319920139"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92013-9_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}