000			03895cam a2200565Ia 4500
003			OCoLC
005			20240807125331.0
008			211206s2021 sz ob 100 0 eng d
020			_a9783030798918
020			_a3030798917
020			_z9783030798932
020			_z9783030798901
041			_aEnglish
049			_aMAIN
072		7	_aPBKQ _2bicssc
072		7	_aMAT005000 _2bisacsh
072		7	_aPBKQ _2thema
072		7	_aPBU _2thema
082	0	4	_a004.015 _223 _bDEM
245	0	0	_aAdvances in data science / _cIlke Demir, Yifei Lou, Xu Wang, Kathrin Welker, editors.
260			_aCham, Switzerland : _bSpringer, _c2021.
300			_a1 online resource.
490	1		_aAssociation for women in mathematics series, _x2364-5741 ; _vvolume 26.
504			_aIncludes bibliographical references.
505			_a Part I: Image Processing.- Two-stage Geometric Information Guided Image Processing (J. Qin and W. Guo).- Image Edge Sharpening via Heaviside Substitution and Structure Recovery (L. Deng, W. Guo, and T. Huang).- Two-step Blind Deconvolution of UPC-A Barcode Images (B. Kim and Y. Lou).- Part II: Shape and Geometry.- An Anisotropic Local Method for Boundary Detection in Images (M. Lund, M. Howard, D. Wu, R. S. Crum, D. J. Miller, and M. C. Akin).- Towards Learning Geometric Shape Parts (A. Fondevilla, G. Morin, and K. Leonard).- Machine Learning in LiDAR 3D Point Clouds (F. P. Medina and R. Paffenroth).- Part III: Machine Learning.- Fitting Small Piece-wise Linear Neural Network Models to Interpolate Data Sets (L. Ness).- On Large-Scale Dynamic Topic Modelling with Nonnegative CP Tensor Decomposition (M. Ahn, N. Eikmeier, J. Haddock, L. Kassab, A. Kryshchenko, K. Leonard, D. Needell, R. W. M. A. Madushani, E. Sizikova, and C. Wang).- A Simple Recovery Framework for Signals with Time-Varying Sparse Support (N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, and J. Qin).- Part IV: Data Analysis.- Role Detection and Prediction in Dynamic Political Networks (E. Evans, W. Guo, A. Genctav, S. Tari, C. Domeniconi, A. Murillo, J. Chuang, L. AlSumait, P. Mani, and N. Youssry).- Classifying Sleep States Using Persistent Homology and Markov Chains: A Pilot Study (S. Tymochko, K. Singhal, and G. Heo).- A Survey of Statistical Learning Techniques as Applied to Inexpensive Pediatric Obstructive Sleep Apnea Data (E. T. Winn, M. Vazquez, P. Loliencar, K. Taipale, X. Wang, and G. Heo).- Nonparametric Estimation of Blood Alcohol Concentration from Transdermal Alcohol Measurements Using Alcohol Biosensor Devices (A. Kryshchenko, M. Sirlanci, and B. Vader).
520			_aThis volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals.
650		0	_aComputer science
650		0	_aMathematical statistics
650		0	_aCalculus of tensors
650		0	_xMathematics _vCongresses.
650		0	_vCongresses.
650		0	_vCongresses.
690			_aComputer Science
700	1		_aDemir, Ilke,
700	1		_aLou, Yifei,
700	1		_aWang, Xu,
700	1		_aWelker, Kathrin,
700	1		_eeditor.
700	1		_eeditor.
700	1		_eeditor.
700	1		_eeditor.
710	2		_aAssociation for Women in Mathematics.
711	2		_aWomen in Data Science and Mathematics (WiSDM) Research Collaboration Workshop _n(2nd : _d2019 : _cProvidence, R.I.)
711	2		_aWomen in Shape Reseach Collaboration Workshop _n(3rd : _d2018 : _cTrier, Germany)
830		0	_aAssociation for Women in Mathematics Series ; _vvolume 26.
856	4	0	_uhttps://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-030-79891-8
856	4	0	_zConnect to e-book
907			_a.b38464068
942			_2ddc _cBOOKS
999			_c43338 _d43338