Supervised Learning-Based Data Classification and Incremental Clustering-Reference-Cited by-同舟云学术

Supervised Learning-Based Data Classification and Incremental Clustering

Published:2022 Issue: Volume: Page:33-72
ISSN:2522-8595
Container-title:Data Classification and Incremental Clustering in Data Mining and Machine Learning
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Author:

Chakraborty Sanjay,Islam SK Hafizul,Samanta Debabrata

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93088-2_3

Reference40 articles.

1. Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle, “Towards Effective and Efficient Distributed Clustering”, Workshop on Clustering Large Data Sets (ICDM2003), Melbourne, FL, 2003.

2. S.Jiang, X.Song, “A clustering based method for unsupervised intrusion detections” . Pattern Recognition Letters, PP.802–810, 2006.

3. Guha A., D. Samanta, A. Banerjee and D. Agarwal, “A Deep Learning Model for Information Loss Prevention From Multi-Page Digital Documents,” in IEEE Access, vol. 9, pp. 80451-80465, 2021, doi: https://doi.org/10.1109/ACCESS.2021.3084841.

4. A.M.Sowjanya, M.Shashi, “Cluster Feature-Based Incremental Clustering Approach (CFICA) For Numerical Data, IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.9, September 2010.

5. Air-pollution database, WBPCB, URL: ‘http://www.wbpcb.gov.in/html/airqualitynxt.php’.

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