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Big Data Analysis: New Algorithms for a New Society
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a l...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Studies in Big Data,
16 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- A Machine Learning Perspective on Big Data Analysis
- An Insight on Big Data Analytics
- Toward Problem Solving Support based on Big Data and Domain Knowledge: Interactive Granular Computing and Adaptive Judgment
- An overview of Conceptdrift Applications.- Analysis of Text-Enriched Heterogeneous Information Networks.- Implementing Big Data Analytics Projects in Business
- Data mining in Business: Current Advances and Future Challenges
- Industrial-Scale Ad Hoc Risk Analytics Using MapReduce
- Big Data and the Internet of Things
- Social Network Analysis in Streaming Call Graphs.- Scalable Cloud-Based Data Analysis Software Systems for Big Data From Next Generation Sequencing
- Discovering Networks of Interdependent Features in High-Dimensional Problems
- Final Remarks on Big Data Analysis and its Impact on Society and Science.