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A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
Condition: New.
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A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
US$ 83.70
US$ 13.50 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
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A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -The Violation of official rules of HTML results in some spot or error. Furthermore, when we convert a word document into web page, the code contains some unnecessary html tags as well as proprietary tags. Such undesirable, redundant, inessential, irrelevant tags are considered as noise. These noisy elements disturb the web page contents and make it difficult to read the contents of web page. Noise adversely affects web data mining and by eliminating noise we can reduce storage and indexing requirements Noise removal helps us to improve the performance of web page clustering, classification, content mining, and summarization. In the proposed work, web page noise has been identified by using four popular web browsers namely Google chrome, Internet Explorer7, Mozilla Firefox and opera and three web authoring tools which are Ms Word, Dreamweaver8 and Microsoft expression web4. Once the noise has been identified, we then classified this noise into different categories based on the source of word document. The experiment was conducted by running 40 web pages on the four popular web browsers and the results obtained shows that web page noise to a large extend depends on the sourceBooks on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.
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A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
US$ 164.08
US$ 33.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New.
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Advances in Deep Learning: Vol 2
Language: English
Published by Springer-Nature New York Inc, 2025
ISBN 10: 9819634970 ISBN 13: 9789819634972
US$ 319.65
US$ 13.50 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 202 pages. 9.25x6.10x9.49 inches. In Stock.
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A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2019, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Violation of official rules of HTML results in some spot or error. Furthermore, when we convert a word document into web page, the code contains some unnecessary html tags as well as proprietary tags. Such undesirable, redundant, inessential, irrelevant tags are considered as noise. These noisy elements disturb the web page contents and make it difficult to read the contents of web page. Noise adversely affects web data mining and by eliminating noise we can reduce storage and indexing requirements Noise removal helps us to improve the performance of web page clustering, classification, content mining, and summarization. In the proposed work, web page noise has been identified by using four popular web browsers namely Google chrome, Internet Explorer7, Mozilla Firefox and opera and three web authoring tools which are Ms Word, Dreamweaver8 and Microsoft expression web4. Once the noise has been identified, we then classified this noise into different categories based on the source of word document. The experiment was conducted by running 40 web pages on the four popular web browsers and the results obtained shows that web page noise to a large extend depends on the source 60 pp. Englisch.
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A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
Condition: New. Print on Demand.
-
A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
Condition: New. PRINT ON DEMAND.
-
A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sultan BismaThe author is pursuing PhD in Computer Science at University of Kashmir, Srinagar. She has been awarded M.Tech in CSE from University of jammu, and B.Tech in CSE from University of Kashmir. Her areas of expertise are Web .
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A study of Document object Model and removing noise from web pages
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139843669 ISBN 13: 9786139843664
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Violation of official rules of HTML results in some spot or error. Furthermore, when we convert a word document into web page, the code contains some unnecessary html tags as well as proprietary tags. Such undesirable, redundant, inessential, irrelevant tags are considered as noise. These noisy elements disturb the web page contents and make it difficult to read the contents of web page. Noise adversely affects web data mining and by eliminating noise we can reduce storage and indexing requirements Noise removal helps us to improve the performance of web page clustering, classification, content mining, and summarization. In the proposed work, web page noise has been identified by using four popular web browsers namely Google chrome, Internet Explorer7, Mozilla Firefox and opera and three web authoring tools which are Ms Word, Dreamweaver8 and Microsoft expression web4. Once the noise has been identified, we then classified this noise into different categories based on the source of word document. The experiment was conducted by running 40 web pages on the four popular web browsers and the results obtained shows that web page noise to a large extend depends on the source.
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Advances in Deep Learning, Volume 2
Language: English
Published by Springer Verlag GmbH, 2025
ISBN 10: 9819634970 ISBN 13: 9789819634972
US$ 196.75
US$ 57.58 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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US$ 289.74
US$ 8.77 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
