Computational Intelligence for Big Data Analysis Frontier Advances and Applications /
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The...
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| 団体著者: | |
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| その他の著者: | , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | English |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| 版: | 1st ed. 2015. |
| シリーズ: | Adaptation, Learning, and Optimization,
19 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-319-16598-1 |
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目次:
- “Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs
- “Atrain Distributed System” (ADS) : An Infinitely Scalable Architecture for Processing Big Data of any 4Vs
- Learning Using Hybrid Intelligence Techniques
- Neutrosophic Sets and its Applications to Decision Making
- An Efficient Grouping Genetic Algorithm for Data Clustering and Big Data Analysis
- Self Organizing Migrating Algorithm with Nelder Mead Crossover and Log-Logisti Mutation for Large Scale Optimization
- A Spectrum of Big Data Applications for Data Analytics
- Fundamentals of Brain Signals and its Medical Application Using Data Analysis Techniques
- BigData: Processing of Data Intensive Applications on Cloud
- Framework for Supporting Heterogenous Clouds using Model Driven Approach
- Cloud based Big Data Analytics:WAN Optimization Techniques and Solutions
- Cloud Based E-Governance Solution: A Case Study.