Model Rules of Professional Conduct


Book Description

The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.




The Rules of Association Football, 1863


Book Description

The rule book of The FA from 1863 is one of the most important books ever published - according to the writer and broadcaster Melvyn Bragg. Drawing on his recently published work, he explains in the introduction why this book is one of the twelve books that changed the world.




Robert's Rules of Order Newly Revised, 12th edition


Book Description

The only current authorized edition of the classic work on parliamentary procedure--now in a new updated edition Robert's Rules of Order is the recognized guide to smooth, orderly, and fairly conducted meetings. This 12th edition is the only current manual to have been maintained and updated since 1876 under the continuing program established by General Henry M. Robert himself. As indispensable now as the original edition was more than a century ago, Robert's Rules of Order Newly Revised is the acknowledged "gold standard" for meeting rules. New and enhanced features of this edition include: Section-based paragraph numbering to facilitate cross-references and e-book compatibility Expanded appendix of charts, tables, and lists Helpful summary explanations about postponing a motion, reconsidering a vote, making and enforcing points of order and appeals, and newly expanded procedures for filling blanks New provisions regarding debate on nominations, reopening nominations, and completing an election after its scheduled time Dozens more clarifications, additions, and refinements to improve the presentation of existing rules, incorporate new interpretations, and address common inquiries Coinciding with publication of the 12th edition, the authors of this manual have once again published an updated (3rd) edition of Robert's Rules of Order Newly Revised In Brief, a simple and concise introductory guide cross-referenced to it.




Texas Homeowners Association Law


Book Description

Texas Homeowners Association Law is a comprehensive legal reference book written specifically for Directors, Officers and homeowners in Texas Homeowners Associations.




Biographical Directory


Book Description




Data Mining for Association Rules and Sequential Patterns


Book Description

Recent advances in data collection, storage technologies, and computing power have made it possible for companies, government agencies and scientific laboratories to keep and manipulate vast amounts of data relating to their activities. This state-of-the-art monograph discusses essential algorithms for sophisticated data mining methods used with large-scale databases, focusing on two key topics: association rules and sequential pattern discovery. This will be an essential book for practitioners and professionals in computer science and computer engineering.







R and Data Mining


Book Description

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. - Presents an introduction into using R for data mining applications, covering most popular data mining techniques - Provides code examples and data so that readers can easily learn the techniques - Features case studies in real-world applications to help readers apply the techniques in their work




Data Mining for Scientific and Engineering Applications


Book Description

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.




Frequent Pattern Mining


Book Description

This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.