This title was first published in 2002. The concept of embeddedness refers to the social construction of inter-firm relationships and the enmeshing of economic relationships within broader social structures and relationships in particular places. Previous research has suggested embedding is the best way to generate local growth and social capital and has focused on SMEs in Europe and North America, although the existing model is being more widely adopted now. This volume is the first to examine the complex processes of embedding in this wider context. Bringing together a broad range of case studies from the developed and developing world which address the nature of embeddedness from various perspectives, it not only questions the universality of the current model and the policy initiatives it has spawned but also provides a much wider understanding of embeddedness . It does so by discussing the social dimensions more fully and by throwing light on the spatial and temporal ambiguity of the concept and its inadequate treatment of power.
In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems. Computational Models of Learning supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.
Learn Business Intelligence Markup Language (Biml) for automating much of the repetitive, manual labor involved in data integration. We teach you how to build frameworks and use advanced Biml features to get more out of SQL Server Integration Services (SSIS), Transact-SQL (T-SQL), and SQL Server Analysis Services (SSAS) than you ever thought possible. The first part of the book starts with the basics—getting your development environment configured, Biml syntax, and scripting essentials. Whether a beginner or a seasoned Biml expert, the next part of the book guides you through the process of using Biml to build a framework that captures both your design patterns and execution management. Design patterns are reusable code blocks that standardize the approach you use to perform certain types of data integration, logging, and other key data functions. Design patterns solve common problems encountered when developing data integration solutions. Because you do not have to build the code from scratch each time, design patterns improve your efficiency as a Biml developer. In addition to leveraging design patterns in your framework, you will learn how to build a robust metadata store and how to package your framework into Biml bundles for deployment within your enterprise. In the last part of the book, we teach you more advanced Biml features and capabilities, such as SSAS development, T-SQL recipes, documentation autogeneration, and Biml troubleshooting. The Biml Book: Provides practical and applicable examples Teaches you how to use Biml to reduce development time while improving quality Takes you through solutions to common data integration and BI challenges What You'll Learn Master the basics of Business Intelligence Markup Language (Biml) Study patterns for automating SSIS package generation Build a Biml Framework Import and transform database schemas Automate generation of scripts and projects Who This Book Is For BI developers wishing to quickly locate previously tested solutions, Microsoft BI specialists, those seeking more information about solution automation and code generation, and practitioners of Data Integration Lifecycle Management (DILM) in the DevOps enterprise
Love Is All Round' is a feminist publishing house where Harriet Copeland is running a competition to find new romantic fiction; their motto is 'For Women By Women'. To avoid this gender bias, Leonard Loftus is forced to submit his novel under a female pseudonym. So when Lulabelle Latiffa wins the first prize, Leonard begins to have a major problem. He is a bashful statistician lumbered with a spectacular alter ago. With domestic complications from his wayward daughter Dee Dee and Gus, his rascally old father, Leonard tries frantically to keep up the charade of Lulabelle. His problems are made worse when he falls hopelessly in love with Harriet. He is a worried man in the guise of a carefree woman. The happy ending is not going to be easy. In high heels and lipstick our hero is caught in a hilarious dilemma of cross-dressing and cross-purposes. Oh what a tangled web we weave, across The UK, Australia and all over Europe, Nobody's Perfect has been acclaimed as a classic feel good romantic comedy. Now adapted for the US audience it has the fertile tradition of Some Like It Hot, Tootsie, and Mrs. Doubtfire. This is a play that offers belly laughs galore - four irresistibly loveable characters locked into a hilarious plot. The final scene has been described as a comic masterpiece.
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Celebrated music producer John Simon has produced some of the greatest rock 'n' roll ever recorded including The Band, Janis Joplin, Simon & Garfunkel, Leonard Cohen and Blood, Sweat &Tears. "Simon's star-studded debut memoir populated with humorous details and matter-of-fact commentary is incredibly readable." KIRKUS REVIEWS
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
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