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1. |
Record Nr. |
UNINA9910449847203321 |
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Autore |
Bonham Stephen S |
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Titolo |
IT project portfolio management [[electronic resource] /] / Stephen S. Bonham |
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Pubbl/distr/stampa |
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Boston, : Artech House, c2005 |
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ISBN |
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Descrizione fisica |
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1 online resource (285 p.) |
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Collana |
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Artech House effective project management series |
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Disciplina |
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Soggetti |
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Information technology - Management |
Project management |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 245-248) and index. |
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Nota di contenuto |
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IT Project Portfolio Management; Contents vii; Preface xiii; Acknowledgments xix; 1 Introduction to IT PPM 1; 2 Strategic Alignment 37; 3 Portfolio Flexibility 59; 4 The IT Portfolio Management Office 89; 5 Architecture Management 117; 6 Asset Management 141; 7 Resource Management 161; 8 Knowledge Management 179; 9 Portfolio Prioritization 195; 10 Organizational Support 223; Selected Bibliography 245; List of Acronyms 249; About the Author 253; Index 255 |
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Sommario/riassunto |
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This groundbreaking book introduces you to a comprehensive approach to implementing Project Portfolio Management (PPM) to support and prioritize IT projects in both large and small companies. The first book to show you how to manage the portfolio of all IT-based projects in an organization, this unique resource details how a portfolio of projects can be aligned with the ever-changing marketplace via a central strategy, maximized for overall return on investment, and balanced for risk across an organization. Written by a highly regarded industry professional with over 15 years of experience, th |
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2. |
Record Nr. |
UNINA9910299944703321 |
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Autore |
Gelbukh Alexander |
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Titolo |
Automatic Syntactic Analysis Based on Selectional Preferences / / by Alexander Gelbukh, Hiram Calvo |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (VIII, 165 p.) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 765 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Computational linguistics |
Natural language processing (Computer science) |
Artificial intelligence |
Computational Intelligence |
Computational Linguistics |
Natural Language Processing (NLP) |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- First approach: sentence analysis using rewriting rules -- Second approach: constituent grammars -- Third approach: dependency trees -- Evaluation of the dependency parser -- Applications -- Prepositional phrase attachment disambiguation -- The unsupervised approach: grammar induction -- Multiple argument handling -- The need for full co-occurrence. |
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Sommario/riassunto |
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This book describes effective methods for automatically analyzing a sentence, based on the syntactic and semantic characteristics of the elements that form it. To tackle ambiguities, the authors use selectional preferences (SP), which measure how well two words fit together semantically in a sentence. Today, many disciplines require automatic text analysis based on the syntactic and semantic characteristics of language and as such several techniques for parsing sentences have been proposed. Which is better? In this book the authors begin with simple heuristics before moving on to more complex methods that |
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identify nouns and verbs and then aggregate modifiers, and lastly discuss methods that can handle complex subordinate and relative clauses. During this process, several ambiguities arise. SP are commonly determined on the basis of the association between a pair of words. However, in many cases, SP depend on more words. For example, something (such as grass) may be edible, depending on who is eating it (a cow?). Moreover, things such as popcorn are usually eaten at the movies, and not in a restaurant. The authors deal with these phenomena from different points of view. |
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