Data Heterogeneity

Internationalization of Japanese Firms: Evidence from Firm-level Data

Internationalization of Japanese Firms: Evidence from Firm-level Data by Ryuhei Wakasugi
English | 2014 | ISBN: 443154531X | 200 pages | PDF | 3,3 MB

This book takes a comprehensive look at Japanese firms engaging in export and foreign direct investment (FDI) and develops new methods and data to investigate the internationalization of firms, which is a focus issue in international trade. Using micro-level data, the book provides an introduction to theoretical and statistical analysis of internationalization modes of Japanese firms with productivity heterogeneity.

Functional Form and Heterogeneity in Models for Count Data  

Posted by Specialselection at Jan. 21, 2012
Functional Form and Heterogeneity in Models for Count Data

William Greene, "Functional Form and Heterogeneity in Models for Count Data (Foundations and Trends(R) in Econometrics)"
English | 2007-08-08 | ISBN: 160198054X | 106 pages | PDF | 587 kb
195954
«Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data»
Bing Liu | Springer | ISBN: 3540378812 | Dec 28, 2006) | 532 pages | PDF | 4.2 Mb

Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured nature of the Web data and its heterogeneity. It has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered both in breadth and in depth. His book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an authoritative and coherent text.


Geographic Information Metadata for Spatial Data Infrastructures: Resources, Interoperability and Information Retrieval

Geographic Information Metadata for Spatial Data Infrastructures: Resources, Interoperability and Information Retrieval
by Javier Nogueras-Iso, F. Javier Zarazaga-Soria & Pedro R. Muro-Medrano
Springer | ISBN: 3540244646 | 2005. | 274 p. | RARed PDF 3.65MB

Metadata play a fundamental role in both DLs and SDIs. Commonly defined as "structured data about data" or "data which describe attributes of a resource" or, more simply, "information about data", it is an essential requirement for locating and evaluating available data. Therefore, this book focuses on the study of different metadata aspects, which contribute to a more efficient use of DLs and SDIs. The three main issues addressed are: the management of nested collections of resources, the interoperability between metadata schemas, and the integration of information retrieval techniques to the discovery services of geographic data catalogs (contributing in this way to avoid metadata content heterogeneity)…

Healthcare and Big Data: Digital Specters and Phantom Objects  eBooks & eLearning

Posted by interes at Dec. 4, 2016
Healthcare and Big Data: Digital Specters and Phantom Objects

Healthcare and Big Data: Digital Specters and Phantom Objects by Mary Ebeling
English | 2016 | ISBN: 1137502207 | 170 pages | PDF | 2,6 MB

Essential Wavelets for Data Analysis (repost)  eBooks & eLearning

Posted by fdts at Dec. 4, 2016
Essential Wavelets for Data Analysis (repost)

Essential Wavelets for Data Analysis
by Todd Ogden
English | 1996 | ISBN: 0817638644 | 206 pages | PDF | 4.16 MB

Learning Path: Introduction to Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 4, 2016
Learning Path: Introduction to Data Science with R

Learning Path: Introduction to Data Science with R
HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB
Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.

The Oxford Handbook of Panel Data (Repost)  eBooks & eLearning

Posted by DZ123 at Dec. 4, 2016
The Oxford Handbook of Panel Data (Repost)

Badi H. Baltagi, "The Oxford Handbook of Panel Data"
English | 2014 | ISBN: 0199940045 | PDF | pages: 705 | 4.2 mb

Predictive Data Mining Models  eBooks & eLearning

Posted by naag at Dec. 4, 2016
Predictive Data Mining Models

Predictive Data Mining Models (Computational Risk Management)
Springer | 5 Oct 2016 | English | ISBN: 9811025428 | 102 pages | PDF | 4 Mb

Data Pipelines with Python  eBooks & eLearning

Posted by FenixN at Dec. 3, 2016
Data Pipelines with Python

Data Pipelines with Python
HDRips | MP4/AVC, ~595 kb/s | 1280x720 | Duration: 03:40:59 | English: AAC, 128 kb/s (2 ch) | 1,04 GB
Genre: Development / Programming

This course shows you how to build data pipelines and automate workflows using Python 3. From simple task-based messaging queues to complex frameworks like Luigi and Airflow, the course delivers the essential knowledge you need to develop your own automation solutions. You'll learn the architecture basics, and receive an introduction to a wide variety of the most popular frameworks and tools.