Deep learning applications and challenges in big data analytics
Florida Atlantic University · Lexicon Pharmaceuticals (United States)
Abstract
Abstract Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies such as Google and Microsoft are analyzing large volumes of data for business analysis and decisions, impacting existing and future technology. Deep Learning algorithms extract high-level, complex abstractions as data representations through a hierarchical learning process. Complex abstractions are learnt at a given level based…
Citation impact
- FWCI
- 189.21
- Percentile
- 100%
- References
- 70
Authors
6Topics & keywords
- Computer science
- Big data
- Data science
- Deep learning
- Raw data
- Analytics
- Scalability
- Business intelligence
- Reduced inequalities