Advanced Deep Learning Applications in Big Data Analytics. Dieser Artikel ist nicht verfügbar.Advanced Deep Learning Applications in Big Data Analytics

Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today's digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Hadj Ahmed Bouarara received a license degree in computer Science, Master diploma in computer modeling of knowledge and reasoning, DR and HDR in Web and Knowledge Engineering from Dr. Tahar Moulay University. He is an Associate Professor in computer science department of saida university and a member of the GeCoDe laboratory. He is a part of the project metaheuristic for information retrieva and a member of the team bio mimicry in the GeCoDe laboratory. he has different publications (book, book chapter, articles, conference paper...ect). he was a member in the organisation and PC member in different international conferences such as International Conference on Computer Intelligence and Its Applications (CIIA), CNTA, JERI and other conference. he was a member of saida information technology club and a reviewver Board in different international journal such as IJIRR, IJOCI, JITR, IJSIR ....ect. His research interests Data Mining, Knowledge Discovery, Metaheuristic, Bio-inspired techniques, Retrieval Information, Cloud Computing and images processing.