Bisma Sultan (12 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2019

      6139843669 / 9786139843664

      • Softcover

      Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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      Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2019

      6139843669 / 9786139843664

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. A study of Document object Model and removing noise from web pages | Bisma Sultan | Taschenbuch | 60 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139843664 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2019

      6139843669 / 9786139843664

      • Softcover

      Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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      £ 118.00

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      paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Language: English

      Published by Springer, 2025

      9819634970 / 9789819634972

      • Hardcover

      Seller: Books Puddle, New York, NY, U.S.A.Books Puddle

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      £ 216.52

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      Condition: New.

    • Language: English

      Published by Springer-Nature New York Inc, 2025

      9819634970 / 9789819634972

      • Hardcover

      Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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      Hardcover. Condition: Brand New. 202 pages. 9.25x6.10x9.49 inches. In Stock.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Jul 2019, 2019

      6139843669 / 9786139843664

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2019

      6139843669 / 9786139843664

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2019

      6139843669 / 9786139843664

      • Softcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

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      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 .

    • Language: English

      Published by LAP LAMBERT Academic Publishing Jul 2019, 2019

      6139843669 / 9786139843664

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      £ 35.28

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 sourceVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

    • Language: English

      Published by Springer Verlag GmbH, 2025

      9819634970 / 9789819634972

      • Hardcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

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      £ 143.68

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

    • Language: English

      Published by Springer, 2025

      9819634970 / 9789819634972

      • Hardcover
      • Print on Demand

      Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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      £ 225.70

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    • Language: English

      Published by Springer, 2025

      9819634970 / 9789819634972

      • Hardcover
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      Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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      £ 237.66

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      Condition: New. PRINT ON DEMAND.