Tag: Data

Free Download Glenn Kefford, "Political Parties and Campaigning in Australia: Data, Digital and Field "
English | ISBN: 3030682331 | 2021 | 234 pages | PDF | 3 MB
Big data and microtargeting steal the headlines about campaigning. But how important are they really to the way that political parties campaign? This book provides a fine-grained account of the campaign practices of three Australian political parties. It explores how prevalent data-driven campaigning is, introduces an original theoretical framework to understand these practices, and demonstrates that there is a disconnect between what Australian voters think about these issues and the way that parties campaign in the 21st century. Drawing on 161 interviews, participant observation and original survey data, it shows that the reality of contemporary campaigning is often different to what we are led to believe.

Free Download Paleontological Data Analysis
by Øyvind Hammer, David A.T. Harper
English | 2024 | ISBN: 1119933935 | 391 pages | True PDF EPUB | 50.64 MB

Free Download Y V Ravi Kumar, "Oracle Global Data Services for Mission-critical Systems: Maximizing Performance and Reliability in Complex Enterprise E"
English | ISBN: 1484295528 | 2023 | 464 pages | PDF | 5 MB
New to Oracle Global Data Services? You’ve come to the right place. This book will show you how to leverage the power of Oracle GDS to ensure runtime load balancing, region affinity, replication lag tolerance-based workload routing, and inter-database service failover. In particular, you will see how to maximize the utilization of replication investments with Oracle GDS.

Free Download Fabian Guignard, "On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory "
English | ISBN: 3030952304 | 2022 | 176 pages | PDF | 6 MB
The gathering and storage of data indexed in space and time are experiencing unprecedented growth, demanding for advanced and adapted tools to analyse them. This thesis deals with the exploration and modelling of complex high-frequency and non-stationary spatio-temporal data. It proposes an efficient framework in modelling with machine learning algorithms spatio-temporal fields measured on irregular monitoring networks, accounting for high dimensional input space and large data sets. The uncertainty quantification is enabled by specifying this framework with the extreme learning machine, a particular type of artificial neural network for which analytical results, variance estimation and confidence intervals are developed. Particular attention is also paid to a highly versatile exploratory data analysis tool based on information theory, the Fisher-Shannon analysis, which can be used to assess the complexity of distributional properties of temporal, spatial and spatio-temporal data sets. Examples of the proposed methodologies are concentrated on data from environmental sciences, with an emphasis on wind speed modelling in complex mountainous terrain and the resulting renewable energy assessment. The contributions of this thesis can find a large number of applications in several research domains where exploration, understanding, clustering, interpolation and forecasting of complex phenomena are of utmost importance.

Free Download MySQL for Data Science: Unlocking Insights and Driving Innovation with MySQL in Data Science
by SAM CAMPBELL
English | April 8, 2024 | ASIN: B0D18G7LJF | 146 pages | PDF | 66 Mb

Free Download Multivariate Analysis of Ecological Data With Ade4 by Jean Thioulouse
English | EPUB | 2018 | 334 Pages | ISBN : 1493988484 | 95.5 MB
This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems.

Free Download Multimedia Data Hiding by Min Wu , Bede Liu
English | PDF (True) | 2003 | 228 Pages | ISBN : 0387954260 | 21.7 MB
The digital information revolution has brought about profound changes in our society and our life. New devices and powerful software have made it possible for consumers worldwide to create, manipulate, share, and enjoy the multimedia information. Internet and wireless networks offer ubiquitous channels to deliver and to exchange multimedia information for such pur poses as remote collaboration, distant learning, and entertainment. With all these advances in multimedia coding and communication technologies over the past decade, the major hurdle for allowing much broader access of multimedia assets and deployment of multimedia services no longer lies with bandwidth-related issues, but with how to make sure that content is used for its intended purpose by its intended recipients. The core issue then be comes the development of secure management of content usage and delivery across communication networks. Data hiding and digital watermarking are promising new technologies for multimedia information protection and rights management. Secondary data can be embedded imperceptibly in digital multimedia signals for a variety of applications, including ownership protection, authentication, access con trol, and annotation. Data hiding can also be used to send side information in multimedia communication for providing additional functionalities or for enhancing performance. The extraction of the embedded data mayor may not need knowledge of the original host media data. In addition to im perceptibility, robustness against moderate processing such as compression is also an important consideration.

Free Download Multimedia Data Hiding by Min Wu , Bede Liu
English | PDF (True) | 2003 | 228 Pages | ISBN : 0387954260 | 21.7 MB
The digital information revolution has brought about profound changes in our society and our life. New devices and powerful software have made it possible for consumers worldwide to create, manipulate, share, and enjoy the multimedia information. Internet and wireless networks offer ubiquitous channels to deliver and to exchange multimedia information for such pur poses as remote collaboration, distant learning, and entertainment. With all these advances in multimedia coding and communication technologies over the past decade, the major hurdle for allowing much broader access of multimedia assets and deployment of multimedia services no longer lies with bandwidth-related issues, but with how to make sure that content is used for its intended purpose by its intended recipients. The core issue then be comes the development of secure management of content usage and delivery across communication networks. Data hiding and digital watermarking are promising new technologies for multimedia information protection and rights management. Secondary data can be embedded imperceptibly in digital multimedia signals for a variety of applications, including ownership protection, authentication, access con trol, and annotation. Data hiding can also be used to send side information in multimedia communication for providing additional functionalities or for enhancing performance. The extraction of the embedded data mayor may not need knowledge of the original host media data. In addition to im perceptibility, robustness against moderate processing such as compression is also an important consideration.

Free Download Mechanistic Data Science for STEM Education and Applications
by Wing Kam Liu, Zhengtao Gan
English | 2021 | ISBN: 3030878317 | 287 Pages | True PDF | 12.3 MB

Free Download Mathematical Formulas and Scientific Data: A Quick Reference Guide by C. P. Kothandaraman
English | March 20, 2023 | ISBN: 1683928652 | 300 pages | MOBI | 12 Mb
Designed as a quick reference guide for engineers, mathematicians, scientists, and industry professionals, this book provides the essential formulas in all areas of mathematics and the key scientific data used in engineering and science. Part One covers the mathematical formulas from algebra, trigonometry, analytic geometry, differential and integral calculus, and vectors. Part Two covers MKS, CGS, and SI units, mechanical units, electrical and magnetic units, gases, elements, acoustics, materials, thermodynamics, radioactivity, geodetic data, astronomical data, optics, solids, organic and inorganic compounds, and more. Technical terms are defined, and theorems and applicable laws are stated and explained in detail. This data book is essential for every scientist, engineering student, and practicing professional.