Affiliation:
1. Study World College of Engineering, India
2. Rajalakshmi Engineering College, India
3. Gnanamani College of Technology, India
Abstract
Using big data and algorithmic techniques, not all of the data gathered in this way is relevant for analysis or decision-making. To be more specific, the chapter addresses issues that arise during the fine tuning of large data sets, presenting open research questions that can aid in the processing of large data sets and the extraction of valuable information from them, as well as providing an overview of big data tools and techniques that can be used to address these issues. Healthcare, public administration, retail, and other multidisciplinary scientific inquiries are only few of the areas where boundaries might be blurred. Big data is mostly derived from social computing, internet text and document storage, and internet search indexing. Online communities, recommendation systems, reputation systems, and prediction markets are all examples of social computing. Internet search indexing includes ISI, IEEE Xplorer, Scopus, Thomson Reuters, etc.
Reference15 articles.
1. The meaningful use of big data
2. Big Data and Specific Analysis Methods for Insurance Fraud Detection;A.-R.Bologa;Database Systems Journal,2013
3. Are you ready for the era of ‘Big Data’;B.Brown;The McKinsey Quarterly,2011
4. On the use of MapReduce for imbalanced big data using Random Forest
5. The evolution of Big Data as a research and scientific topic: Overview of the literature;G.Halevi;Research Trends, Special Issue on Big Data,2012