2013
DOI: 10.5120/12729-9573
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Noise Reduction and Content Retrieval from Web Pages

Abstract: The World Wide Web is the most increasingly growing and accessible source of information. Web contents of different fields which can offer important information to users are available in the Web like multimedia data, structured, semistructured and unstructured data. But only a part of the information is useful for a particular application and the remaining information are considered as noises. Data on web pages contain formatting code, advertisement, navigation links, etc. This collection of unwanted noise wit… Show more

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Cited by 3 publications
(1 citation statement)
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“…Duplicate contents and noise content as per block importance are removed [16]. Global and local noises are removed [17]. Noise is removed by parsing the web page using Kdwd system and contents are tagged and many filters areused to remove unwanted contents [18)].…”
Section: Noise Removal From Web Pagesmentioning
confidence: 99%
“…Duplicate contents and noise content as per block importance are removed [16]. Global and local noises are removed [17]. Noise is removed by parsing the web page using Kdwd system and contents are tagged and many filters areused to remove unwanted contents [18)].…”
Section: Noise Removal From Web Pagesmentioning
confidence: 99%