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1. |
Record Nr. |
UNINA9910494643603321 |
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Autore |
Fahey Liam <1951-> |
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Titolo |
The insight discipline : crafting marketplace understanding that makes a difference / / Liam Fahey |
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Pubbl/distr/stampa |
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Bingley, England : , : Emerald Publishing Limited, , [2020] |
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ISBN |
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Descrizione fisica |
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1 online resource (420 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Industrial management - Decision making |
Insight |
Leadership |
Business enterprises - Data processing |
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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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Sommario/riassunto |
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In his re-published book The Insight Discipline, Liam Fahey details the analysis methods and modes of deliberations required to overcome the insight challenge and to create an insight-driven culture. He lays out the business case for why leaders must emphasize the goal of attaining new insight if they want to gain maximum value from analysis. |
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2. |
Record Nr. |
UNISA996465394803316 |
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Titolo |
Artificial Intelligence and Computational Intelligence [[electronic resource] ] : Second International Conference, AICIS 2011, Taiyuan, China, September 24-25, 2011, Proceedings, Part I / / edited by Hepu Deng, Duoqian Miao, Jingsheng Lei, Fu Lee Wang |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
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ISBN |
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Edizione |
[1st ed. 2011.] |
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Descrizione fisica |
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1 online resource (XXXIII, 686 p.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 7002 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Application software |
Algorithms |
Information storage and retrieval |
Computers |
Software engineering |
Artificial Intelligence |
Information Systems Applications (incl. Internet) |
Algorithm Analysis and Problem Complexity |
Information Storage and Retrieval |
Computation by Abstract Devices |
Software Engineering |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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This three-volume proceedings contains revised selected papers from the Second International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011, held in Taiyuan, China, in September 2011. The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part I covered are: applications of artificial intelligence; applications of computational intelligence; automated problem solving; biomedical |
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inforamtics and computation; brain models/cognitive science; data mining and knowledge discovering; distributed AI and agents; evolutionary programming; expert and decision support systems; fuzzy computation; fuzzy logic and soft computing; and genetic algorithms. |
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3. |
Record Nr. |
UNISA996466299203316 |
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Titolo |
Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings / / edited by Jan Lellmann, Martin Burger, Jan Modersitzki |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XVII, 574 p. 302 illus., 153 illus. in color.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11603 |
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Disciplina |
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Soggetti |
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Optical data processing |
Numerical analysis |
Computer science—Mathematics |
Artificial intelligence |
Image Processing and Computer Vision |
Numeric Computing |
Math Applications in Computer Science |
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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Note generali |
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Sommario/riassunto |
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This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical |
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sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods. . |
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