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Autor(en): 
  • Nikhil Verma
  • Market Basket Analysis with Network of Products: Modelling Network of Products and detecting Communities of Products 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Oktober 2017  
    Genre:  Ratgeber 
    ISBN:  9783330783355 
    EAN-Code: 
    9783330783355 
    Verlag:  Edizioni Accademiche Italiane 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 220 mm / B 150 mm / D 6 mm 
    Gewicht:  131 gr 
    Seiten:  76 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In today's world, big data plays a crucial role in both public and private sector. Leading companies have collected a vast amount of data and information. Data mining is the process of extracting useful information from the raw data. It has become a new trend in business, to analyze the data to make more targeted business model or important decision in defining customer profiles. The facts which otherwise may go unnoticed can be now revealed by using different techniques that mines stored information. However, due to costs, privacy and data protection, only the business owned transactional data is typically available for analysis. To find meaningful patterns in the big data is one of the active research in the data mining. Market basket analysis (MBA) is one of the most useful modeling technique in data mining. It involves the mining and analysis of Association Rules, which take the form of a famous statement such as "people who buy diapers are likely to buy beers". Such information can be used as a basis for decisions about marketing activity such as promotional support, inventory control, and cross-sales campaign.

      



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