Survey of Dimensionality Reduction and Mining Techniques on Scientific Data

Abstract

Dimensionality reduction techniques on scientific data are currently a focused approach to understand the underlying scientific knowledge in a dataset resulted from scientific experiments and simulations. The sole purpose of the survey paper is to provide comprehension of different dimensionality reduction techniques which are used in the field of scientific data mining. Feature extraction and feature selection are the important techniques of dimensionality reduction; the former removes certain features by way of transformation, where as the later reconstructs its features into a lower dimension space without impairing its initial characteristics. This paper presents various techniques used for mining the scientific data.

Authors and Affiliations

D. Lakshmi Padmaja , Dr. B. Vishnuvardhan

Keywords

Related Articles

Self-timed Circuit Device Size Optimization for an Input Data Distribution

New design techniques with energy-delay characteristics that are superior to that of the synchronous timing and control approach are needed today because the throughput of systems realized with this method is limited by...

Virtual Education - the progression by Driving Forces and Technical Challenge issues in Access Control

Enabling technologies have led to the transformation from Traditional Education systems to a new methodology of virtual education incorporating: Electronic collections, Virtual reference services, Virtual libraries and o...

MACHINE TRANSLATION WITH SPECIAL REFERENCE TO MALAYALAM LANGUAGE

Google Translate gives machine translation services in online particularly for written content. In the 24th phase of the Google Translate project undertaking started on June 2011 five new Indic languages Bengali, Gujarat...

AN ENHANCED PRIVACY PRESERVING SEARCH ENGINE FRAMEWORK USING GREEDY ALGORITHM

By using internet, the user collect all the information. Because of weak search quality the users get irrelevant information. By using Personalized Web Search (PWS), this paper achieves the highquality search results. In...

Laser Speckle Image Processing

In this paper, Electronic laser speckle correlation technique has been adopted to measure small deformation of a specimen. A Low cost Opto-electronic Laser Speckle Interferometer is designed. Laser speckle images are cap...

Download PDF file
  • EP ID EP89020
  • DOI -
  • Views 136
  • Downloads 0

How To Cite

D. Lakshmi Padmaja, Dr. B. Vishnuvardhan (2014). Survey of Dimensionality Reduction and Mining Techniques on Scientific Data. International Journal of Computer Science & Engineering Technology, 5(11), 1062-1066. https://europub.co.uk/articles/-A-89020