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Development of Cluster based Supervised Learning Technique for Web News Extraction

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Pardeep Kaur, Rekha Bhatia
10.5120/ijca2016911805

Pardeep Kaur and Rekha Bhatia. Development of Cluster based Supervised Learning Technique for Web News Extraction. International Journal of Computer Applications 152(5):30-31, October 2016. BibTeX

@article{10.5120/ijca2016911805,
	author = {Pardeep Kaur and Rekha Bhatia},
	title = {Development of Cluster based Supervised Learning Technique for Web News Extraction},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {5},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {30-31},
	numpages = {2},
	url = {http://www.ijcaonline.org/archives/volume152/number5/26317-2016911805},
	doi = {10.5120/ijca2016911805},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

World Wide Web makes it a prominent source of online information as abundance of data is available on the web and lots of data gets uploaded on daily basis. Due to the presence of massive information on the web it seems easier and simpler to get any information at any time effortlessly, but it requires a lot of focus. Numerous web mining techniques have been studied like extractors, wrappers etc, that provide various methods to extract useful web content. In this paper a semi-supervised web news extraction technique is proposed that uses unsupervised clustering technique and supervised classification technique.

References

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Keywords

Web Mining, Web News, Web News Extraction, Unsupervised Machine Learning, Classification