Skip to main content
padlock icon - secure page this page is secure

Improving Data Quality on Big and High-Dimensional Data

Buy Article:

Your trusted access to this article has expired.

$105.00 + tax (Refund Policy)

The lack of data quality is a crucial open issue that leads into modest decisions and suboptimal processes. This is intensely vital in big data sets where the information is generally assembled quickly, at multiple scales, from heterogeneous sources, and with little concern for quality. In this article, we survey data quality mining and management approaches. We discuss the use of incremental learning approaches to improve massive calculus where only cutting-edge batches of data are required to preserve up-to-date inferred Data Quality models. We also present a framework that will be able to process big and heterogeneous data streams of biomedical data.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: BIG DATA; BIOMEDICAL DATA; DATA MINING; DATA QUALITY; MULTI-DIMENSIONAL

Document Type: Research Article

Publication date: December 1, 2012

More about this publication?
  • Journal of Bioinformatics and Intelligent Control (JBIC) is an international journal that publishes research articles in areas of the bioinformatics and intelligent control. JBIC is aimed to provide an international forum for the exchange of ideas and new scientific and technological findings to disseminate information and promote the transfer of knowledge between professionals in academia and industry. The journal publishes original research papers; review papers; technical reports and notes; short communications focused on emerging new developments in these research areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Aims & Scope
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more