Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach, Andrienko Natalia, Andrienko Gennady

Автор: Cleff Thomas
Название: Exploratory Data Analysis in Business and Economics
ISBN: 3319015168 ISBN-13(EAN): 9783319015163
Издательство: Springer
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Цена: 65210.00 T
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Описание: Exploratory Data Analysis in Business and Economics

Автор: Beenstock, Michael, Felsenstein, Daniel
Название: The Econometric Analysis of Non-Stationary Spatial Panel Data
ISBN: 3030036138 ISBN-13(EAN): 9783030036133
Издательство: Springer
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Цена: 93160.00 T
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Описание: This monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.

Автор: P.L Stoffa
Название: Tau-p: a plane wave approach to the analysis of seismic data
ISBN: 9401068844 ISBN-13(EAN): 9789401068840
Издательство: Springer
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Цена: 87070.00 T
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Описание: In exploration seismology, data are acquired at multiple source and receiver posi- tions along a profile line. The data processing methods commonly used are based upon a small angle of incidence approximation, thus making the imaging problem tractable for existing data processing technology.

Автор: Xiang Ren, Jiawei Han
Название: Mining Structures of Factual Knowledge from Text: An Effort-Light Approach
ISBN: 1681733927 ISBN-13(EAN): 9781681733920
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora.Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.

Автор: Roy Frieden; Robert A. Gatenby
Название: Exploratory Data Analysis Using Fisher Information
ISBN: 184996615X ISBN-13(EAN): 9781849966153
Издательство: Springer
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Цена: 135090.00 T
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Описание: This book uses a mathematical approach to deriving the laws of science and technology, based upon the concept of Fisher information. The approach that follows from these ideas is called the principle of Extreme Physical Information (EPI). The authors show how to use EPI to determine the theoretical input/output laws of unknown systems.

Автор: Husson, Francois Le, Sebastien Pages, Jerome
Название: Exploratory multivariate analysis by example using r
ISBN: 036765802X ISBN-13(EAN): 9780367658021
Издательство: Taylor&Francis
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Цена: 51030.00 T
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Описание: Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis.

Автор: Robert Shumway, David Stoffer
Название: Time Series: A Data Analysis Approach Using R
ISBN: 0367221098 ISBN-13(EAN): 9780367221096
Издательство: Taylor&Francis
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Цена: 74510.00 T
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Описание: This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability skills. All of the numerical examples were done using the R statistical package, and the code is typically listed at the end of an example.