Popular Mechanics
Title | Popular Mechanics PDF eBook |
Author | |
Publisher | |
Pages | 210 |
Release | 1967-08 |
Genre | |
ISBN |
Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.
Popular Mechanics
Title | Popular Mechanics PDF eBook |
Author | |
Publisher | |
Pages | 210 |
Release | 1967-08 |
Genre | |
ISBN |
Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.
Popular Mechanics
Title | Popular Mechanics PDF eBook |
Author | |
Publisher | |
Pages | 210 |
Release | 1967-08 |
Genre | |
ISBN |
Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.
Knowledge and Information Visualization
Title | Knowledge and Information Visualization PDF eBook |
Author | Sigmar-Olaf Tergan |
Publisher | Springer Science & Business Media |
Pages | 384 |
Release | 2005-06-27 |
Genre | Computers |
ISBN | 3540269215 |
formation. The basic ideas underlying knowledge visualization and information vi- alization are outlined. In a short preview of the contributions of this volume, the idea behind each approach and its contribution to the goals of the book are outlined. 2 The Basic Concepts of the Book Three basic concepts are the focus of this book: "data", "information", and "kno- edge". There have been numerous attempts to define the terms "data", "information", and "knowledge", among them, the OTEC Homepage "Data, Information, Kno- edge, and Wisdom" (Bellinger, Castro, & Mills, see http://www.syste- thinking.org/dikw/dikw.htm): Data are raw. They are symbols or isolated and non-interpreted facts. Data rep- sent a fact or statement of event without any relation to other data. Data simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself.
Computational and Visualization Techniques for Structural Bioinformatics Using Chimera
Title | Computational and Visualization Techniques for Structural Bioinformatics Using Chimera PDF eBook |
Author | Forbes J. Burkowski |
Publisher | CRC Press |
Pages | 453 |
Release | 2014-07-29 |
Genre | Computers |
ISBN | 1439836620 |
A Step-by-Step Guide to Describing Biomolecular StructureComputational and Visualization Techniques for Structural Bioinformatics Using Chimera shows how to perform computations with Python scripts in the Chimera environment. It focuses on the three core areas needed to study structural bioinformatics: biochemistry, mathematics, and computation.Und
Popular Mechanics
Title | Popular Mechanics PDF eBook |
Author | |
Publisher | |
Pages | 330 |
Release | 1953-01 |
Genre | |
ISBN |
Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.
Multivariate Network Visualization
Title | Multivariate Network Visualization PDF eBook |
Author | Andreas Kerren |
Publisher | Springer |
Pages | 244 |
Release | 2014-04-15 |
Genre | Computers |
ISBN | 3319067931 |
This book is the outcome of the Dagstuhl Seminar 13201 on Information Visualization - Towards Multivariate Network Visualization, held in Dagstuhl Castle, Germany in May 2013. The goal of this Dagstuhl Seminar was to bring together theoreticians and practitioners from Information Visualization, HCI and Graph Drawing with a special focus on multivariate network visualization, i.e., on graphs where the nodes and/or edges have additional (multidimensional) attributes. The integration of multivariate data into complex networks and their visual analysis is one of the big challenges not only in visualization, but also in many application areas. Thus, in order to support discussions related to the visualization of real world data, also invited researchers from selected application areas, especially bioinformatics, social sciences and software engineering. The unique "Dagstuhl climate" ensured an open and undisturbed atmosphere to discuss the state-of-the-art, new directions and open challenges of multivariate network visualization.