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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title: A New Classifier for Handling Concept Drifting Data Stream
Authors Name: Ms. Rucha Patil , Mr. S.B. Chaudhary
Unique Id: IJSDR2404187
Published In: Volume 9 Issue 4, April-2024
Abstract: Concept drifting stream data mining have recently garnered a great deal of attention for Machine Learning Researcher. The major challenges in stream data mining are focused on speed of data arrival, changes in data distribution in certain time, storage capability that uses less memory, and adapting changes in small amount of time. In this paper, a new Classifier based on hybrid approach is proposed that handle concept drifting stream data. The proposed classifier is used Naives Bayes as base learner for classification of concept drifting stream data where as concept drift is detected and handled by using drift detection method.
Keywords: Concept drift, stream data, classification, drift detection.
Cite Article: "A New Classifier for Handling Concept Drifting Data Stream", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1279 - 1283, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404187.pdf
Downloads: 000338175
Publication Details: Published Paper ID: IJSDR2404187
Registration ID:211009
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 1279 - 1283
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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