عنوان

Handbook of big data /

شابک

1482249073

شابک

9781482249071

شماره

dltt

عنوان اصلي

Handbook of big data /

نام عام مواد

[Book]

نام نخستين پديدآور

edited by Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan

نام خاص و کميت اثر

xvi, 464 pages :

ساير جزييات

illustrations (some color) ;

ابعاد

26 cm

عنوان فروست

Chapman & Hall/CRC handbooks of modern statistical methods

متن يادداشت

"Chapman & Hall book."

متن يادداشت

Includes bibliographical references and index

متن يادداشت

The advent of data science: some considerations on the unreasonable effectiveness of data / Richard J.C.M. Starmans -- Big-n versus big-p in big data / Norman Matloff -- Divide and recombine: approach for detailed analysis and visualization of large complex data / Ryan Hafen -- Integrate big data for better operation, control, and protection of power systems / Guang Lin -- Interactive visual analysis of big data / Carlos Scheidegger -- A visualization tool for mining large correlation tables: the association navigator / Andreas Buja, Abba M. Krieger, and Edward I. George -- High-dimensional computational geometry / Alexandr Andoni -- IRLBA: fast partial singular value decomposition method / James Baglama -- Structural properties underlying high-quality randomized numerical linear algebra algorithms / Michael W. Mahoney and Petros Drineas -- Something for (almost) nothing: new advances in sublinear-time algorithms / Ronitt Rubinfeld and Eric Blais -- Networks / Elizabeth L. Ogburn and Alexander Volfovsky -- Mining large graphs / David F. Gleich and Michael W. Mahoney -- Estimator and model selection using cross-validation / Iván Díaz -- Stochastic gradient methods for principled estimation with large datasets / Panos Toulis and Edoardo M. Airoldi -- Learning structured distributions / Ilias Diakonikolas -- Penalized estimation in complex methods / Jacob Bien and Daniela Witten -- High-dimensional regression and inference / Lukas Meier -- Divide and recombine: subsemble, exploiting the power of cross-validation / Stephanie Sapp and Erin LeDell -- Scalable super learning / Erin LeDell -- Tutorial for causal inference / Laura Balzer, Maya Petersen, and Mark van der Laan -- A review of some recent advances in causal inference / Marloes H. Maathuis and Preetam Nandy -- Targeted learning for variable importance / Sherri Rose -- Online estimation of the average treatment effect / Sam Lendle -- Mining with inference: data-adaptive target parameters / Alan Hubbard and Mark van der Laan

بدون عنوان

0

متن يادداشت

"Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice"--Back cover

موضوع مستند نشده

Big data-- Statistical methods, Handbooks, manuals, etc

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Bühlmann, Peter

مستند نام اشخاص تاييد نشده

Drineas, Petros

مستند نام اشخاص تاييد نشده

Kane, Michael

مستند نام اشخاص تاييد نشده

Laan, M. J. van der

تاريخ عمليات

20201221102047.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y