Sultan Bisma (12 results)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
Contact seller5-star sellerCondition: New
£ 60.19
£ 10.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 32.29
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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.
- Softcover
Seller: Mispah books, Redhill, United KingdomMispah books
Contact seller4-star sellerCondition: New
£ 118.00
£ 25.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Advances in Deep Learning, Volume 2 (Studies in Big Data, 12)
Wani, M. Arif; Sultan, Bisma; Ali, Sarwat; Sofi, Mukhtar Ahmad
- Hardcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
Contact seller4-star sellerCondition: New
£ 214.64
£ 2.97 shippingShips within U.S.A.Quantity: 4 available
Condition: New.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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£ 229.13
£ 10.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: Brand New. 202 pages. 9.25x6.10x9.49 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2019 2019
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 35.54
£ 19.89 shippingShips from Germany to U.S.A.Quantity: 2 available
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.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 30.50
£ 42.36 shippingShips from Germany to U.S.A.Quantity: Over 20 available
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
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
£ 35.54
£ 51.88 shippingShips from Germany to U.S.A.Quantity: 1 available
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, in…essential, 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.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 36.42
£ 52.34 shippingShips from Germany to U.S.A.Quantity: 1 available
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, ine…ssential, 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.
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
£ 144.73
£ 42.36 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Advances in Deep Learning, Volume 2 (Studies in Big Data, 12)
Wani, M. Arif; Sultan, Bisma; Ali, Sarwat; Sofi, Mukhtar Ahmad
- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
£ 226.32
£ 6.50 shippingShips from United Kingdom to U.S.A.Quantity: 4 available
Condition: New. Print on Demand.
Advances in Deep Learning, Volume 2 (Studies in Big Data, 12)
Wani, M. Arif; Sultan, Bisma; Ali, Sarwat; Sofi, Mukhtar Ahmad
- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, GermanyBiblios
Contact seller4-star sellerCondition: New
£ 234.73
£ 8.60 shippingShips from Germany to U.S.A.Quantity: 4 available
Condition: New. PRINT ON DEMAND.
