Discovering

In today's competitive, always-on global marketplace, businesses need to be able to make better decisions more quickly. And they need to be able to change those decisions immediately in order to adapt to this increasingly dynamic business environment. Whether it is a regulatory change in your industry, a new product introduction by a competitor that your organization needs to react to, or a new market opportunity that you want to quickly capture by changing your product pricing. Decisions like these lie at the heart of your organization's key business processes. In this IBM® RedpaperTM publication, we explore the benefits of identifying and documenting decisions within the context of your business processes. We describe a straightforward approach for doing this by using a business process and decision discovery tool called IBM Blueworks LiveTM, and we apply these techniques to a fictitious example from the auto insurance industry to help you better understand the concepts. This paper was written with a non-technical audience in mind. It is intended to help business users, subject matter experts, business analysts, and business managers get started discovering and documenting the decisions that are key to their company's business operations.

"I recommend this book wholeheartedly to new music lovers" Sir Charles Groves CBE Thanks to Nigel Kennedy and Pavarotti, millions of people have recently discovered that classical music is a highly enjoyable experience, perhaps contrary to their expectations. But the world of classical music can be highly intimidating and confusing. Ian Christians, for many years a passionate believer in broadening the interest in classical music, has developed a unique approach, designed to make it as easy as possible for both newcomers to classical music and those who have started down the path to explore with confidence. Discovering Classical Music concentrates on the greatest composers. The author takes you step-by-step into their most approachable music and, in some cases, boldly into some of the greatest works traditionally considered too difficult for newcomers. Rarely does a book offer such potential for continued enjoyment.This volume concentrates on the life, personality and music of Edward William Elgar.

During the last decade, the French-speaking scientific community developed a very strong research activity in the field of Knowledge Discovery and Management (KDM or EGC for “Extraction et Gestion des Connaissances” in French), which is concerned with, among others, Data Mining, Knowledge Discovery, Business Intelligence, Knowledge Engineering and SemanticWeb. The recent and novel research contributions collected in this book are extended and reworked versions of a selection of the best papers that were originally presented in French at the EGC 2009 Conference held in Strasbourg, France on January 2009. The volume is organized in four parts. Part I includes five papers concerned by various aspects of supervised learning or information retrieval. Part II presents five papers concerned with unsupervised learning issues. Part III includes two papers on data streaming and two on security while in Part IV the last four papers are concerned with ontologies and semantic.

Computational methods impact all aspects of modern drug discovery and most notably these methods move rapidly from academic exercises to becoming drugs in clinical trials... This insightful book represents the experience and understanding of the global experts in the field and spotlights both the structural and medicinal chemistry aspects of drug design. The need to 'encode' the factors that determine adsorption, distribution, metabolism, excretion and toxicology are explored, as they remain the critical issues in this area of research. This indispensable resource provides the reader with: * A rich understanding of modern approaches to docking * A comparison and critical evaluation of state-of-the-art methods * Details on harnessing computational methods for both analysis and prediction * An insight into prediction potencies and protocols for unbiased evaluations of docking and scoring algorithms * Critical reviews of current fragment based methods with perceptive applications to kinases Addressing a wide range of uses of protein structures for drug discovery the Editors have created and essential reference for professionals in the pharmaceutical industry and moreover an indispensable core text for all graduate level courses covering molecular interactions and drug discovery.

The Discovery of Islands consists of a series of linked essays in British history, written by one of the world's leading historians of political thought and published over the past three decades. Its purpose is to present British history as that of several nations interacting with - and sometimes seceding from - an imperial state. The commentary presents this history as that of an archipelago, expanding across oceans to the Antipodes. Both New Zealand history and the author's New Zealand heritage inform this vision, presenting British history as oceanic and global, complementing (and occasionally criticising) the presentation of that history as European. Professor Pocock's interpretation of British history has been hugely influential in recent years, making The Discovery of Islands a resource of immense value for historians of Britain and the world.

First published in 1974, England and the Discovery of America places the early explorations of the English in North America in the broad context of 15th and 16th century history. Marshalling evidence that cannot be pushed aside and sifting a mass of fascinating detail (including problems of cartography and the Vinland Map controversy), Professor Quinn presents circumstantial indications pointing to 1481 as the date or the discovery of America by Bristol voyagers – fishermen seeking new sources of cod, and merchant sailors with maps carrying promise of unexploited Atlantic islands. Whereas England did little to follow up her early lead, Quinn demonstrates that English initiatives from the 1580s onward, though slow, were of great importance. He brings to life the men involved in a variety of rash and heroic experiments in colonization and casts new light on their fates. He makes it clear that it was this very profusion of trial and error and trail again, as well as the conviction that settlement in temperate latitudes in North America could be effective if tenaciously enough sought, that enabled the English to strike and maintain routes in their new American world. This book will be of interest to students of English history, American history, colonial history and naval history.

Privileged Scaffolds in Drug Discovery is the most complete and up-to-date work in the area. Covering a wide range of privileged structures, it is a perfect reference for scientists involved in targeted drug development. The editors recruited epserts from several prestigious Chinese institutions to cover the areas of antiviral drugs, chalcone, pyrimidine, (benz)imidazoles, natural product-derived privileged scaffolds, N-Sulfonyl carboxamides, kinase inhibitors, antitumor molecules, antineurodegenerative drugs, triazoles, oxazolidinone, indole and indoline scaffolds, tigliane diterpenoids, peptide and peptide-based drugs, quassinoids, and others including pseudonatural products, macrocycles, stable peptides and peptidomimetics. The book also explores scaffolds in drug molecules approved in recent years. Privileged Scaffolds in Drug Discovery is a complete reference for researchers in drug discovery and organic synthesis, in academic and corporate settings, who are investigating privileged structures upon which to base new drugs. Researchers in medicinal chemistry and chemical biology will also find the contents of this book valuable. Provides wide coverage of privileged scaffolds in new drug discovery Includes complex and diverse natural product scaffolds Covers applications to peptides and peptide-based drugs

This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).