9783330783355 - Market Basket Analysis with Network of Products: Modelling Network of Products and detecting Communities of Products de Verma, Nikhil (5 resultados)

Taschenbuch. Condición: Neu. Market Basket Analysis with Network of Products | Modelling Network of Products and detecting Communities of Products | Nikhil Verma | Taschenbuch | Englisch | 2017 | Edizioni Accademiche Italiane | EAN 9783330783355 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 76 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Verma NikhilI am a self-motivated and dedicated computer science graduate. My career objective is to convert mytheoretical knowledge into practice by gaining experience in the global working environment. I have astrong theoretical ba.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.