{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:30:18Z","timestamp":1778347818244,"version":"3.51.4"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030308087","type":"print"},{"value":"9783030308094","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-30809-4_35","type":"book-chapter","created":{"date-parts":[[2019,10,28]],"date-time":"2019-10-28T18:03:58Z","timestamp":1572285838000},"page":"391-400","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Big Data Dimensionality Reduction for\u00a0Wireless Sensor Networks Using Stacked Autoencoders"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1905-4802","authenticated-orcid":false,"given":"Muneeba","family":"Sirshar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1853-5364","authenticated-orcid":false,"given":"Sajid","family":"Saleem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0308-4361","authenticated-orcid":false,"given":"Muhammad U.","family":"Ilyas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3255-4812","authenticated-orcid":false,"given":"Muhammad Murtaza","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8172-8375","authenticated-orcid":false,"given":"Mohammed Saeed","family":"Alkatheiri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4928-4246","authenticated-orcid":false,"given":"Jalal S.","family":"Alowibdi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,29]]},"reference":[{"key":"35_CR1","doi-asserted-by":"publisher","unstructured":"Diebold, F.X.: On the Origin(s) and Development of the Term \u2018Big Data\u2019. PIER Working Paper No. 12-037. Available at SSRN https:\/\/ssrn.com\/abstract=2152421 or https:\/\/doi.org\/10.2139\/ssrn.2152421 (2012)","DOI":"10.2139\/ssrn.2152421"},{"key":"35_CR2","unstructured":"Laney D: 3-d data management: controlling data volume, velocity and variety. META Group Research Note (2001)"},{"key":"35_CR3","unstructured":"Lohr, S.: The Age of Big Data, p. 11. New York Times (2012)"},{"issue":"1","key":"35_CR4","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/5326.661089","volume":"28","author":"L.O. Jimenez","year":"1998","unstructured":"Jimenez, L.O., Landgrebe, D.A.: Supervised classification in high-dimensional space: geometrical, statistical, and asymptotical properties of multivariate data. IEEE Trans. Syst., Man Cybern. 28(1), 39\u201354 (1997)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Pearson, K.: On lines and planes of closest fit to systems of points in space. Philiosophical Mag. 2, 559\u2013572 (1901)","DOI":"10.1080\/14786440109462720"},{"key":"35_CR6","unstructured":"Roweis, S.T.: EM algorithms for PCA and SPCA. In: Advances in Neural Information Processing Systems, vol. 10, pp. 626\u2013632 (1997)"},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Saul, L.K., Weinberger, K.Q., Ham, J.H., Sha, F., Lee, D.D.: Spectral methods for dimensionality reduction. In: Semisupervised Learning. The MIT Press, Cambridge, MA, USA (2006)","DOI":"10.7551\/mitpress\/6173.003.0022"},{"key":"35_CR8","unstructured":"Burges, C.J.C.: Data Mining and Knowledge Discovery Handbook: A Complete Guide for Practitioners and Researchers, chapter Geometric Methods for Feature Selection and Dimensional Reduction: A Guided Tour. Kluwer Academic Publishers (2005)"},{"key":"35_CR9","unstructured":"Venna, J.: Dimensionality reduction for visual exploration of similarity structures. Ph.D. thesis, Helsinki University of Technology (2007)"},{"key":"35_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-39351-3","volume-title":"Nonlinear Dimensionality Reduction","author":"JA Lee","year":"2007","unstructured":"Lee, J.A., Verleysen, M.: Nonlinear Dimensionality Reduction. Springer, New York (2007)"},{"issue":"4","key":"35_CR11","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/BF02288916","volume":"17","author":"Warren S. Torgerson","year":"1952","unstructured":"Torgerson, W.S.: Multidimensional scaling I: theory and method. Psychometrika 17, 401\u2013419 (1952)","journal-title":"Psychometrika"},{"key":"35_CR12","unstructured":"Brand, M.: Charting a manifold. In: Advances in Neural Information Processing Systems, vol. 15, pp. 985\u2013992. The MIT Press, Cambridge, MA, USA (2002)"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Guo, C., Nelson, J.D.B.: Compressive imaging with complex wavelet transform and turbo amp reconstruction. In: 23rd European Signal Processing Conference (EUSIPCO), pp. 1751\u20131755 (2015)","DOI":"10.1109\/EUSIPCO.2015.7362684"},{"key":"35_CR14","doi-asserted-by":"publisher","first-page":"417441","DOI":"10.1037\/h0071325","volume":"24","author":"H Hotelling","year":"1933","unstructured":"Hotelling, H.: Analysis of a complex of statistical variables into principal components. J. Educ. Psychol. 24, 417441 (1933)","journal-title":"J. Educ. Psychol."},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Tipping and Bishop: Pattern Recognition and Machine Learning by C. Bishop, 12.2.1 p. 574 (1999)","DOI":"10.1007\/3-540-48097-8_1"},{"key":"35_CR16","unstructured":"Chen, Z., Yang, S., Li, L., Xie, Z.: A clustering approximation mechanism based on data spatial correlation in wireless sensor networks. In: Wireless Telecommunications Symposium (WTS), p. 17 (2010)"},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Li, J., Guo, S., Yang, Y., He, J.: Data aggregation with principal component analysis in big data wireless sensor networks. In: 12th International Conference on Mobile Ad-Hoc and Sensor Networks (2016)","DOI":"10.1109\/MSN.2016.015"},{"key":"35_CR18","unstructured":"LeCuns, Y.: Online Available at http:\/\/yann.lecun.com\/exdb\/lenet\/index.html"},{"key":"35_CR19","unstructured":"Fan, W., Zhang, K., Yuan, X.J.: UCI Machine Learning Repository. Online Available http:\/\/archive.ics.uci.edu\/ml"},{"key":"35_CR20","unstructured":"Vergar, A.: UCI Machine Learning Repository. Online Available http:\/\/archive.ics.uci.edu\/ml"}],"container-title":["Springer Proceedings in Complexity","Research & Innovation Forum 2019"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30809-4_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T06:13:00Z","timestamp":1695363180000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30809-4_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030308087","9783030308094"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30809-4_35","relation":{},"ISSN":["2213-8684","2213-8692"],"issn-type":[{"value":"2213-8684","type":"print"},{"value":"2213-8692","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RIIFORUM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The International Research & Innovation Forum","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"riiforum2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/rii-forum.org\/about-rii-forum\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}