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Advances in Data Science by Ilke Demir (English) Paperback Book

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
ISBN-13
9783030798932
Book Title
Advances in Data Science
ISBN
9783030798932
Subject Area
Mathematics
Publication Name
Advances in Data Science
Item Length
9.3 in
Publisher
Springer International Publishing A&G
Subject
Numerical Analysis, Probability & Statistics / General, General, Optimization
Publication Year
2022
Series
Association for Women in Mathematics Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Yifei Lou
Item Width
6.1 in
Item Weight
20.7 Oz
Number of Pages
Xx, 364 Pages

Over dit product

Product Information

This 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. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030798933
ISBN-13
9783030798932
eBay Product ID (ePID)
4058365671

Product Key Features

Author
Yifei Lou
Publication Name
Advances in Data Science
Format
Trade Paperback
Language
English
Subject
Numerical Analysis, Probability & Statistics / General, General, Optimization
Publication Year
2022
Series
Association for Women in Mathematics Ser.
Type
Textbook
Subject Area
Mathematics
Number of Pages
Xx, 364 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in
Item Weight
20.7 Oz

Additional Product Features

Series Volume Number
26
Number of Volumes
1 Vol.
Lc Classification Number
Qa402.5-402.6
Reviews
"The topics covered are quite interdisciplinary and related to cutting-edge research in data science. ... This book describes results from the forefront of research in data science and would greatly benefit aspiring researchers at the master's and PhD levels. Each chapter contains ample references to the related literature." (S. Lakshmivarahan, Computing Reviews, February 21, 2023)
Table of Content
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).
Copyright Date
2021
Dewey Decimal
519.6
Dewey Edition
23
Illustrated
Yes

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Item is is good condition but I think they used the pony express to mail it. SLOWEST SHIPPING EVER :( I ordered it May 10 and it wasn't shipped out until May 29? It finally arrived today (June 5) Disappointed. This is unacceptable...
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Great book super price fast ship too thanks for listing
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Very nice book.