Le marketing du livre
Le marketing de l'édition reste aujourd'hui mal connu et ses spécificités sont telles qu'elles ne trouvent pas leur place dans les ouvrages généraux. Les auteurs de cet ouvrage proposent ici une approche pratique du marketing éditorial dans son versant " Etudes et stratégies ". Les méthodes, les techniques et les ressources que le marketing de l'édition peut mobiliser sont présentées ici en prenant appui sur un ensemble de cas concrets empruntés à divers types de productions, et avec le double souci de montrer ce que l'on peut en attendre et d'en poser les limites. Quelle que soit la nature de la production éditoriale, et loin d'être réservée aux spécialistes et aux grandes maisons d'édition, la réflexion proposée ici pourra accompagner chaque éditeur dans ses choix ; il y trouvera des outils d'analyse applicables aux situations auxquelles il est confronté, matière à affiner ses pratiques, et peut être aussi le moyen d'éviter certaines erreurs.
Livres de France
A été écrit sous une forme ou une autre pendant la plus grande partie de sa vie. Vous pouvez trouver autant d'inspiration de Livres de France Aussi informatif et amusant. Cliquez sur le bouton TÉLÉCHARGER ou Lire en ligne pour obtenir gratuitement le livre de titre $ gratuitement.
A été écrit sous une forme ou une autre pendant la plus grande partie de sa vie. Vous pouvez trouver autant d'inspiration de COBIT Five Aussi informatif et amusant. Cliquez sur le bouton TÉLÉCHARGER ou Lire en ligne pour obtenir gratuitement le livre de titre $ gratuitement.
COBIT Security Baseline
This guide, based on COBIT 4.1, consists of a comprehensive set of resources that contains the information organizations need to adopt an IT governance and control framework. COBIT covers security in addition to all the other risks that can occur with the use of IT. COBIT Security Baseline focuses on the specific risk of IT security in a way that is simple to follow and implement for the home user or the user in small to medium enterprises, as well as executives and board members of larger organizations.
A Semantic Web Primer
A new edition of the widely used guide to the key ideas, languages, and technologies of the Semantic Web
Lean Agile Software Development
Agile techniques have demonstrated immense potential for developing more effective, higher-quality software. However,scaling these techniques to the enterprise presents many challenges. The solution is to integrate the principles and practices of Lean Software Development with Agile’s ideology and methods. By doing so, software organizations leverage Lean’s powerful capabilities for “optimizing the whole” and managing complex enterprise projects. A combined “Lean-Agile” approach can dramatically improve both developer productivity and the software’s business value.In this book, three expert Lean software consultants draw from their unparalleled experience to gather all the insights, knowledge, and new skills you need to succeed with Lean-Agile development. Lean-Agile Software Development shows how to extend Scrum processes with an Enterprise view based on Lean principles. The authors present crucial technical insight into emergent design, and demonstrate how to apply it to make iterative development more effective. They also identify several common development “anti-patterns” that can work against your goals, and they offer actionable, proven alternatives. Lean-Agile Software Development shows how to Transition to Lean Software Development quickly and successfully Manage the initiation of product enhancements Help project managers work together to manage product portfolios more effectively Manage dependencies across the software development organization and with its partners and colleagues Integrate development and QA roles to improve quality and eliminate waste Determine best practices for different software development teams The book’s companion Web site, www.netobjectives.com/lasd, provides updates, links to related materials, and support for discussions of the book’s content.
Data Mining Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
Handbook of Statistical Analysis and Data Mining Applications
The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book
Observation and Control for Operator Semigroups
This book studies observation and control operators for linear systems where the free evolution of the state can be described by an operator semigroup on a Hilbert space. It includes a large number of examples coming mostly from partial differential equations.
In publications such as BusinessWeek and Fast Company, the media have celebrated Whirlpool's transformation into a leading-edge innovator and Nancy Tennant Snyder's role as chief innovation officer. Ten years after this remarkable transformation, Unleashing Innovation tells the inside story of one of the most successful innovation turnarounds in American history. Nancy Tennant Snyder and coauthor Deborah L. Duarte reveal how Whirlpool undertook one of the largest change efforts in corporate history and show how innovation was embedded throughout the company, which ultimately lead to bottom-line results.