Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

The potential and challenges of Big data - Recommendation systems next level application (1501.03424v1)

Published 14 Jan 2015 in cs.CY

Abstract: The continuous increase of data generated provides enormous possibilities of both public and private companies. The management of this mass of data or big data will play a crucial role in the society of the future, as it finds applications in different fields. There are so much potential and extremely useful insights hidden in the huge volume of data. The advanced analysis techniques available including predictive analytics, text mining, semantic analysis are needed to enable organizations to create a competitive advantage through data analyzed with different levels of sophistication, speed and accuracy previously unavailable. Therefore, is it still possible to have that level of sophistication with the ubiquitous numeric ocean that accompanies use every day via connected devices that invade our lives? However, development of big data requires a good understanding of the issues associated with it. And this is the purpose of this paper, which focuses on giving a close-up view of big data analysis, opportunities and challenges.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Fatima El Jamiy (3 papers)
  2. Abderrahmane Daif (1 paper)
  3. Mohamed Azouazi (1 paper)
  4. Abdelaziz Marzak (1 paper)
Citations (25)

Summary

We haven't generated a summary for this paper yet.