International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 116

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 9, September 2014


Survey on Categorization and Detection of Adaptive Novel Class of Feature Evolving Data Streams

Chaitrali T. Chavan | Prof. Vinod S. Wadne


Abstract: Classification in the data stream is the challenging fact for the data mining community. In this paper, we tackle four major challenges which are infinite length, concept drift, concept evolution, and feature evolution. As we know that the data streams are huge in amount, so practically it is not possible to store the data and used it for the training purpose. The results of changes in the underlying concepts are occurred because of concept drift, which is the general observable fact in the data streams. The result of new classes surfacing in the data streams occurs because of concept evaluation. The feature evaluation generally occurs in many streams like text streams, in text streams new features emerge as stream advancement. Many existing methods of the data stream classification tackle only first two challenges and ignore last two challenges. Here in this paper we proposed an ensemble classification skeleton, in which each classifier is prepared with a novel class detector to tackle the concept drift and concept evolution. We also proposed the feature set homogenization methods for feature evaluation. We improve the component of novel class detection by making it more adaptive to the evolving stream, and enable it to notice more than one novel class at a time. As comparing with the existing methods of the novel class detector method the efficiency of the proposed method is more than the existing one.


Keywords: Outlier, concept evaluation, novel class detection, concept drift, feature evaluation


Edition: Volume 3 Issue 9, September 2014,


Pages: 1121 - 1123


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Chaitrali T. Chavan, Prof. Vinod S. Wadne, "Survey on Categorization and Detection of Adaptive Novel Class of Feature Evolving Data Streams", International Journal of Science and Research (IJSR), Volume 3 Issue 9, September 2014, pp. 1121-1123, https://www.ijsr.net/get_abstract.php?paper_id=SEP14328

Similar Articles with Keyword 'Outlier'

Downloads: 0

Student Project, Computer Science & Engineering, India, Volume 11 Issue 6, June 2022

Pages: 1875 - 1880

Microclustering with Outlier Detection for DADC

Aswathy Priya M.

Share this Article

Downloads: 71

Research Paper, Computer Science & Engineering, Sweden, Volume 9 Issue 12, December 2020

Pages: 1137 - 1139

Predicting Diabetes using Gradient Boosting is a Machine Learning Technique

Ali Adam Mohammad

Share this Article
Top