Efficient techniques patterns analysis di bakariya brijesh (12 risultati)

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    • Lingua: Inglese

      Editore: LAP Lambert Academic Publishing, 2018

      6139858712 / 9786139858712

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

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      EUR 78,49

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      Condizione: New.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2018

      6139858712 / 9786139858712

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 44,10

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      Taschenbuch. Condizione: Neu. Efficient Techniques for Patterns Analysis using Web Usage Mining | Brijesh Bakariya (u. a.) | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139858712 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Jun 2018, 2018

      6139858712 / 9786139858712

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained. 88 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2018

      6139858712 / 9786139858712

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      EUR 51,79

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Nov 2025, 2025

      6209172393 / 9786209172397

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 60,90

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP Lambert Academic Publishing, 2018

      6139858712 / 9786139858712

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      EUR 79,72

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      Quantità: 4 disponibili

      Condizione: New. Print on Demand.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2018

      6139858712 / 9786139858712

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      Da: moluna, Greven, Germaniamoluna

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      EUR 41,71

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bakariya BrijeshBrijesh Bakariya Assistant Professor in Department of Computer Science and Engineering,IKGPTU, Jalandhar (Punjab) has his Ph. D. Degree from NIT- Bhopal, MP in Computer Applications (2016). He has been teaching sinc.

    • Lingua: Inglese

      Editore: LAP Lambert Academic Publishing, 2018

      6139858712 / 9786139858712

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      EUR 81,69

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      Quantità: 4 disponibili

      Condizione: New. PRINT ON DEMAND.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2025

      6209172393 / 9786209172397

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Condizione: Nuovo

      EUR 62,30

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Jun 2018, 2018

      6139858712 / 9786139858712

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      • Print on Demand

      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Condizione: Nuovo

      EUR 49,90

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      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Nov 2025, 2025

      6209172393 / 9786209172397

      • Brossura
      • Print on Demand

      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Condizione: Nuovo

      EUR 60,90

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      Spedito da Germania a U.S.A.

      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2025

      6209172393 / 9786209172397

      • Brossura
      • Print on Demand

      Da: preigu, Osnabrück, Germaniapreigu

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      Condizione: Nuovo

      EUR 51,80

      EUR 70,00 spedizione 
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      Quantità: 5 disponibili

      Taschenbuch. Condizione: Neu. Efficient Techniques for Patterns Analysis using Web Usage Mining | Second Edition | Brijesh Bakariya (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209172397 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.