Multiple Discovery

"Reinventing Discovery argues that we are in the early days of the most dramatic change in how science is done in more than 300 years. This change is being driven by new online tools, which are transforming and radically accelerating scientific discovery"--

The Web has emerged as a large, distributed data repository, and information on the Internet and in existing transaction databases can be analyzed for commercial gains in decision making. Therefore, how to efficiently identify quality knowledge from different data sources uncovers a significant challenge. This challenge has attracted wide interest from both academia and the industry. Knowledge Discovery in Multiple Databases provides a comprehensive introduction to the latest advancements in multi-database mining, and presents a local-pattern analysis framework for pattern discovery from multiple data sources. Based on this framework, data preparation techniques in multiple databases, an application-independent database classification for data reduction, and efficient algorithms for pattern discovery from multiple databases are described. Knowledge Discovery in Multiple Databases is suitable for researchers, professionals and students in data mining, distributed data analysis, and machine learning, who are interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might involve knowledge discovery in databases and data mining.

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.

David Klahr suggests that we now know enough about cognition--and hence about everyday thinking--to advance our understanding of scientific thinking.

57 true examples of failed attempts to conceal or destroy evidence during the discovery phase of litigation. Fun eDiscovery tales of abuse of the litigation process by litigants and/or their attorneys, with the applicable punishments handed out by the courts. Includes the story of the recently settled Twitter litigation and the alleged misconduct taking place during the acquisition of Twitter.

"This book addresses the many new resource discovery tools and products in existence as well as their potential uses and applications"--Provided by publisher.

This book constitutes the refereed proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2000, held in Lyon, France in September 2000. The 86 revised papers included in the book correspond to the 29 oral presentations and 57 posters presented at the conference. They were carefully reviewed and selected from 147 submissions. The book offers topical sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.

Naming is an integral building block within data networks and systems and is becoming ever more important as complex data-centric usage models emerge. Internet Naming and Discovery is timely in developing a unified model for studying the topic of naming and discovery. It details the architectural and economic tools needed for designing naming and discovery schemes within the broader context of internetwork architecture. Readers will find in this book a historic overview of the Internet and a comprehensive survey of the literature, followed by and an in-depth examination of naming and discovery. Specific topics covered include: • formal definitions of name, address, identifier, locator, binding, routing, discovery, mapping, and resolution; • a discussion of the properties of names and bindings, along with illustrative case studies; • taxonomy that helps in organizing the solution space, and more importantly in identifying new avenues for contributing to the field; • a general model for exploring the tradeoffs involved in designing discovery systems; • an illustrative design exercise for differentiated discovery services; • broad treatment of the main economic issues that arise in the context of discovery; and • a game-theoretic incentive model for route distribution (and discovery) in the context of path-vector routing protocols (mainly BGP). Internet Naming and Discovery will be of great value to readers, including graduate students, engineers and computer scientists, theoreticians and practitioners, seeking a training in advanced networking, or specializing in computer and communications networks.