| Titre : |
Big data computing : advances in technologies, methodologies, and applications |
| Type de document : |
document électronique |
| Auteurs : |
Tanvir-Habib Sardar, Auteur ; Bishwajeet-Kumar Pandey, Auteur |
| Editeur : |
London ; New York ; Boca Raton : CRC Press |
| Année de publication : |
2024 |
| Collection : |
Computational Intelligence Techniques |
| Importance : |
1 fichier PDF |
| Présentation : |
ill. |
| ISBN/ISSN/EAN : |
978-1-00-382272-1 |
| Note générale : |
Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École.
Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Machine learning--Technological innovations
Big data--Technological innovations
Data mining--Computer programs--Technological innovations |
| Index. décimale : |
004.62 Traitement de l'information (Data science) |
| Résumé : |
This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features: Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies. Explains computing models using real-world examples and dataset-based experiments. Includes case studies, quality diagrams, and demonstrations in each chapter. Describes modifications and optimization of existing technologies along with the novel big data computing models. Explores references to machine learning, deep learning, and graph processing. This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. |
| Note de contenu : |
Summary of the book :
1. Iot next gen and the world of big data computing
2. Large-scale data processing in cloud computing environment: hadoop-mapreduce
3. Education enhanced by big data as a technology of the fourth industrial revolution (ir 4.0)
4. Big data pre-processing for machine parameter optimization
5. From data to insights: a review of cloud-based big data tools and technologies
... |
| En ligne : |
https://research.ebsco.com/linkprocessor/plink?id=25590b01-d338-3dc8-bbc4-d4071c [...] |
Big data computing : advances in technologies, methodologies, and applications [document électronique] / Tanvir-Habib Sardar, Auteur ; Bishwajeet-Kumar Pandey, Auteur . - London ; New York ; Boca Raton : CRC Press, 2024 . - 1 fichier PDF : ill.. - ( Computational Intelligence Techniques) . ISBN : 978-1-00-382272-1 Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École.
Index Langues : Anglais ( eng)
| Mots-clés : |
Machine learning--Technological innovations
Big data--Technological innovations
Data mining--Computer programs--Technological innovations |
| Index. décimale : |
004.62 Traitement de l'information (Data science) |
| Résumé : |
This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features: Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies. Explains computing models using real-world examples and dataset-based experiments. Includes case studies, quality diagrams, and demonstrations in each chapter. Describes modifications and optimization of existing technologies along with the novel big data computing models. Explores references to machine learning, deep learning, and graph processing. This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. |
| Note de contenu : |
Summary of the book :
1. Iot next gen and the world of big data computing
2. Large-scale data processing in cloud computing environment: hadoop-mapreduce
3. Education enhanced by big data as a technology of the fourth industrial revolution (ir 4.0)
4. Big data pre-processing for machine parameter optimization
5. From data to insights: a review of cloud-based big data tools and technologies
... |
| En ligne : |
https://research.ebsco.com/linkprocessor/plink?id=25590b01-d338-3dc8-bbc4-d4071c [...] |
|  |
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