Handbook of big data analytics:
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cham, Switzerland
Springer
[2018]
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| Series: | Springer handbooks of computational statistics
|
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | viii, 538 Seiten Illustrationen, Diagramme (teilweise farbig) 235 mm x 155 mm |
| ISBN: | 9783030132385 |
Staff View
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Record in the Search Index
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| adam_text | Contents Part I Overview 1 Statistics, Statisticians, and the Internet of Things............................. John M. Jordan and Dennis K. J. Lin 3 2 Cognitive Data Analysis for Big Data................................................... Jing Shyr, Jane Chu, and Mike Woods 23 Part II Methodology 3 Statistical Leveraging Methods in Big Data................................... Xinlian Zhang, Rui Xie, and Ping Ma 51 4 Scattered Data and Aggregated Inference.................................... Xiaoming Huo, Cheng Huang, and Xuelei Sherry Ni 75 5 Nonparametric Methods for Big Data Analytics.............................. .. 103 Hao Helen Zhang 6 Finding Patterns in Time Series............................................................. 125 James E. Gentle and Seunghye J. Wilson 7 Variational Bayes for Hierarchical Mixture Models............................ 151 Muting Wan, James G. Booth, and Martin T. Wells 8 Hypothesis Testing for High-Dimensional Data................................... 203 Wei Biao Wu, Zhipeng Lou, and Yuefeng Han 9 High-Dimensional Classification........................................................... Hui Zou 10 Analysis of High-Dimensional Regression Models Using Orthogonal Greedy Algorithms................ .......................................... 263 Hsiang-Ling Hsu, Ching-Kang Ing, and Tze Leung Lai 225 vii
viii Contents 11 Semi-supervised Smoothing for Large Data Problems......................... 285 Mark Vere Culp, Kenneth Joseph Ryan, and George Michailidis 12 Inverse Modeling: A Strategy to Cope with Non-linearity.................. Qian Lin, Yang Li, and Jun S. Liu 13 Sufficient Dimension Reduction for Tensor Data.................................. 325 Yiwen Liu, Xin Xing, and Wenxuan Zhong 14 Compressive Sensing and Sparse Coding........................... Kevin Chen and H. T. Kung 15 Bridging Density Functional Theory and Big Data Analytics with Applications.................................................. Chien-Chang Chen, Hung-Hui Juan, Meng-Yuan Tsai, and Henry Homg-Shing Lu Part III 301 339 351 Software 16 Q3-D3-LSA: D3.js and Generalized Vector Space Models for Statistical Computing .................................................................................. 377 Lukas Borke and Wolfgang K. Hardie 17 A Tutorial on Libra: R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics.............................................. Jiechao Xiong, Feng Ruan, and Yuan Yao Part IV 425 Application 18 Functional Data Analysis for Big Data: A Case Study on California Temperature Trends................................................................. 457 Pantelis Zenon Hadjipantelis and Hans-Georg Müller 19 Bayesian Spatiotemporal Modeling for Detecting Neuronal Activation via Functional Magnetic Resonance Imaging.................... Martin Bezener, Lynn E. Eberly, John Hughes, Galin Jones, and Donald R. Musgrove 20 21 Construction of Tight Frames on Graphs
and Application to Denoising...................................................... Franziska Göbel, Gilles Blanchard, and Ulrike von Luxburg 485 503 Beta-Boosted Ensemble for Big Credit Scoring Data............................ 523 Maciej Zięba and Wolfgang Karl Hardie
|
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| discipline | Informatik Wirtschaftswissenschaften |
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| spelling | Handbook of big data analytics Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors Cham, Switzerland Springer [2018] © 2018 viii, 538 Seiten Illustrationen, Diagramme (teilweise farbig) 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Springer handbooks of computational statistics Data Mining (DE-588)4428654-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Research UNF Big Data High Dimensional Data Analysis Software-hardware Co-designs Computational Statistics Data Analytics (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s Big Data (DE-588)4802620-7 s Statistik (DE-588)4056995-0 s DE-604 Härdle, Wolfgang 1953- (DE-588)110357116 edt Lu, Henry Horng-Shing (DE-588)1165216981 edt Shen, Xiaotong (DE-588)131783688 edt Erscheint auch als Online-Ausgabe 10.1007/978-3-319-18284-1 978-3-319-18284-1 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=5192729&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030543473&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Handbook of big data analytics Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd |
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| title | Handbook of big data analytics |
| title_auth | Handbook of big data analytics |
| title_exact_search | Handbook of big data analytics |
| title_full | Handbook of big data analytics Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors |
| title_fullStr | Handbook of big data analytics Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors |
| title_full_unstemmed | Handbook of big data analytics Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen, editors |
| title_short | Handbook of big data analytics |
| title_sort | handbook of big data analytics |
| topic | Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Data Mining Big Data Statistik Aufsatzsammlung |
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