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

Networks Security on Mobile Computing – A Survey

Mobile cloud computing alleviates the limitations of resource-constrained mobile devices. Mobile cloud computing is gained popularity among mobile users of 998 million in 2014. Mobile Cloud computing is a collection of l...

Krill Herd Clustering Algorithm using DBSCAN Technique

The hybrid approach is proposed to show that the clusters also show the swarm behavior. Krill herd algorithm is used to show the simulation of the herding behavior of the krill individuals. Density based approach is used...

Comparative Study on Text Pattern Matching for Heterogeneous System

Pattern-matching has been routinely used in various computer applications, for example, in editors, retrieval of information either textual, image, or sound and searching nucleotide or amino acid sequence patterns in gen...

A Novel Approach for Web Document Classification

The web is a huge repository of information and there is a need for categorizing web documents to facilitate the search and retrieval of documents. Web document classification plays an important role in information organ...

Download PDF file
  • EP ID EP89020
  • DOI -
  • Views 123
  • 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