Data Mining Large Sets by Cordeiro Robson (14 results)
Language: English
Published by Springer, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
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Data Mining in Large Sets of Complex Data (SpringerBriefs in Computer Science)
Ferreira Cordeiro, Robson Leonardo L. F.; Faloutsos, Christos; Traina Júnior, Caetano
Language: English
Published by Springer, 2013
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Data Mining in Large Sets of Complex Data (SpringerBriefs in Computer Science)
Robson Leonardo L. F. Ferreira Cordeiro,Christos Faloutsos,Caetano Traina J�nior
Language: English
Published by Springer 2013-01-11, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
- Softcover
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Data Mining in Large Sets of Complex Data
Christos Faloutsos Robson Leonardo Ferreira Cordeiro Caetano Traina J?nior
Language: English
Published by Springer, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
- Softcover
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Data Mining in Large Sets of Complex Data
Cordeiro, Robson L. F./ Faloutsos, Christos/ Júnior, Caetano Traina
Language: English
Published by Springer-Verlag New York Inc, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
- Softcover
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Paperback. Condition: Brand New. 2013 edition. 127 pages. 9.00x0.40x6.00 inches. In Stock.
Data Mining in Large Sets of Complex Data
Robson Leonardo Ferreira Cordeiro|Christos Faloutsos|Caetano Traina Júnior
Language: English
Published by Springer London, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
- Softcover
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Language: English
Published by Springer, Springer, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, g…iven a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation Can it be made automatically Based on the work discussed in this book, the answers to both questions are a sound 'yes', and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.
Language: English
Published by Springer, 2013
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Taschenbuch. Condition: Neu. Data Mining in Large Sets of Complex Data | Robson Leonardo Ferreira Cordeiro (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xi | Englisch | 2013 | Springer | EAN 9781447148890 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]ha…rtmann[at]springer[dot]com | Anbieter: preigu.
Data Mining in Large Sets of Complex Data
Robson Leonardo Ferreira Cordeiro, Caetano Traina Júnior, Christos Faloutsos
Language: English
Published by Springer London, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
- Softcover
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, g…iven a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation? Can it be made automatically? Based on the work discussed in this book, the answers to both questions are a sound ¿yes¿, and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.
Language: English
Published by Springer, 2013
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Language: English
Published by Springer London Jan 2013, 2013
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data…. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation Can it be made automatically Based on the work discussed in this book, the answers to both questions are a sound 'yes', and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation. 128 pp. Englisch.
Data Mining in Large Sets of Complex Data
Faloutsos Christos Ferreira Cordeiro Robson Leonardo Traina J?nior Caetano
Language: English
Published by Springer, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
- Softcover
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Condition: New. Print on Demand pp. 130 37 Illus. (25 Col.).
Data Mining in Large Sets of Complex Data
Faloutsos Christos Ferreira Cordeiro Robson Leonardo Traina J?nior Caetano
Language: English
Published by Springer, 2013
Series: SpringerBriefs in Computer Science, Book 54 of 322. Book 54 of 322 - SpringerBriefs in Computer Science
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Condition: New. PRINT ON DEMAND pp. 130.
Language: English
Published by Springer, Springer Jan 2013, 2013
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. Fo…r example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying native rainforests, deforestation or reforestation Can it be made automatically Based on the work discussed in this book, the answers to both questions are a sound ¿yes¿, and the results can be obtained in just minutes. In fact, results that used to require days or weeks of hard work from human specialists can now be obtained in minutes with high precision. Data Mining in Large Sets of Complex Data discusses new algorithms that take steps forward from traditional data mining (especially for clustering) by considering large, complex datasets. Usually, other works focus in one aspect, either data size or complexity. This work considers both: it enables mining complex data from high impact applications, such as breast cancer diagnosis, region classification in satellite images, assistance to climate change forecast, recommendation systems for the Web and social networks; the data are large in the Terabyte-scale, not in Giga as usual; and very accurate results are found in just minutes. Thus, it provides a crucial and well timed contribution for allowing the creation of real time applications that deal with Big Data of high complexity in which mining on the fly can make an immeasurable difference, such as supporting cancer diagnosis or detecting deforestation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.
