Screen LibraryData mining in large sets of complex data
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 T...
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| Main Authors: | |
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| Corporate Authors: | |
| Group Author: | ; |
| Published: |
Springer,
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| Publisher Address: | London : |
| Publication Dates: | 2013. |
| Literature type: | Electronic eBook |
| Language: | English |
| Series: |
SpringerBriefs in computer science,
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| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-1-4471-4890-6 |
| Summary: |
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 ... |
| Carrier Form: | 1 online resource (xi, 116 p.) : ill. (some col.), col. maps. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9781447148906 (electronic bk.) 1447148908 (electronic bk.) |
| Index Number: | QA76 |
| CLC: | TP311.131 |