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Contents: Periodic Table and Periodic Properties, Elements of Row 2 of the Periodic Table, Hydrogen and Hydrides, Group I: The Alkali Metals, Group II: The Alkaline Earths, The p-Block Elements, Group III: The Boron Group, Group IV: The Carbon Group, Group V: The Nitrogen Group, Group VI: The Oxygen Group, Group VIII: The Halogens, The Noble Gases, Metals and Metallurgy, Transition Metals, Coordination Compounds, More Solved Problems.
This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.
Contents: Introduction, Atoms, Molecules and Formulas, Chemical Equations and Stoichiometry, Aqueous Reactions and Solution Stoichiometry, Gases, Intermolecular Forces, Liquids and Solids, Atoms Structure and the Periodic Table, Chemical Bonding, Chemical Thermodynamics, Solutions, Chemical Kinetics, Chemical Equilibrium, Acids and Bases, Ionic Equilibria I, Ionic Equilibria II, Redox Reactions, Electrochemistry, Nuclear Chemistry.
The self-assembled nanostructured materials described in this book offer a number of advantages over conventional material technologies in a wide range of sectors. World leaders in the field of self-organisation of nanostructures review the current status of research and development in the field, and give an account of the formation, properties, and self-organisation of semiconductor nanostructures. Chapters on structural, electronic and optical properties, and devices based on self-organised nanostructures are also included. Future research work on self-assembled nanostructures will connect diverse areas of material science, physics, chemistry, electronics and optoelectronics. This book wil...
This book presents reports from the forefront of soft computing in the Internet industry and covers important topics in the field such as search engines, fuzzy query, decision analysis and support systems as well as e-business and e-commerce.
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
Roy investigates the various factors that influenced the formation and mobilization of military forces in the region from 300 BC to the modern day.
To physicists and chemists, color means light-emission, absorption, spectrum, and coloration. Near-Infrared Organic Materials and Emerging Applications presents knowledge and applications of invisible "colored" organic materials. Near-infrared (NIR) materials are defined as substances that interact with NIR light, namely, absorption and reflection,
This is the second volume in a series of innovative proceedings entirely devoted to the connections between mathematics and computer science. Here mathematics and computer science are directly confronted and joined to tackle intricate problems in computer science with deep and innovative mathematical approaches. The book serves as an outstanding tool and a main information source for a large public in applied mathematics, discrete mathematics and computer science, including researchers, teachers, graduate students and engineers. It provides an overview of the current questions in computer science and the related modern and powerful mathematical methods. The range of applications is very wide and reaches beyond computer science.
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.