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Record Nr. |
UNINA9910150323503321 |
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Autore |
Wolak Arthur J. |
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Titolo |
Religion and contemporary management : Moses as a model for effective leadership / / Arthur J. Wolak [[electronic resource]] |
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Pubbl/distr/stampa |
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London : , : Anthem Press, , 2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (xvi, 151 pages) : digital, PDF file(s) |
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Disciplina |
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Soggetti |
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Leadership in the Bible |
Leadership |
Management |
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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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Title from publisher's bibliographic system (viewed on 11 Aug 2017). |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Ancient leadership for present times -- Defining leadership -- Leaders and managers -- Heroism, charisma, and their limitations -- Empathic leadership -- Humility, the antithesis of arrogance -- Moses' essential leadership skills -- Assessing Moses' leadership style. |
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Sommario/riassunto |
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Although few might think of Moses as a 'leader' in the contemporary business and political sense, Moses is not only among the most significant leaders in Western civilization but is also arguably the quintessential example of a powerful leader from whom much can be learned by anyone entering and occupying leadership positions. Various types of leadership approaches are considered that have been advocated by scholars over the past century. Moses' example as described in the Bible is analyzed to assert why Moses' approach makes for an appropriate and compelling form of leadership today. |
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2. |
Record Nr. |
UNINA9910437873403321 |
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Autore |
Xanthopoulos Petros |
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Titolo |
Robust data mining / / Petros Xanthopoulos, Panos M. Pardalos, Theodore B. Trafalis |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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1-283-90917-0 |
1-4419-9878-0 |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (66 p.) |
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Collana |
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SpringerBriefs in optimization, , 2190-8354 |
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Altri autori (Persone) |
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PardalosP. M <1954-> (Panos M.) |
TrafalisTheodore B |
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Disciplina |
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Soggetti |
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Data mining |
Robust optimization |
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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. |
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Nota di contenuto |
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1. Introduction -- 2. Least Squares Problems -- 3. Principal Component Analysis -- 4. Linear Discriminant Analysis -- 5. Support Vector Machines -- 6. Conclusion. |
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Sommario/riassunto |
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Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. This brief will appeal to theoreticians and data miners working in this field. |
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