Customers are considered to be the primary areas of concern for increasing the profits and enhanced business solutions in terms of their feedback, responses, likelihood of new purchases and their interest to stay connected with the company through its products and services. In order to attain optimized solutions and more efficient business decisions, computationally intelligent methods are deployed like artificial intelligence, machine learning, optimization algorithms which include differential evolution, genetic algorithms.An advancement incorporating computational intelligence for business intelligence is in predictive analytics. It has been observed that if cloud is a huge pool of database including pictures, videos, text, reviews, sentiment, then at the same time there exist a situation today where the liability and the authenticity of the data available online is challenged.Hence, it has been experimented and successfully calculated that that differential evolution for optimization is beneficial for filtering the reliable sentiments of the customers supporting recommendations in terms of the fitness functions on the basis of the positive and the negative sentiments expressed.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Customers are considered to be the primary areas of concern for increasing the profits and enhanced business solutions in terms of their feedback, responses, likelihood of new purchases and their interest to stay connected with the company through its products and services. In order to attain optimized solutions and more efficient business decisions, computationally intelligent methods are deployed like artificial intelligence, machine learning, optimization algorithms which include differential evolution, genetic algorithms.An advancement incorporating computational intelligence for business intelligence is in predictive analytics. It has been observed that if cloud is a huge pool of database including pictures, videos, text, reviews, sentiment, then at the same time there exist a situation today where the liability and the authenticity of the data available online is challenged.Hence, it has been experimented and successfully calculated that that differential evolution for optimization is beneficial for filtering the reliable sentiments of the customers supporting recommendations in terms of the fitness functions on the basis of the positive and the negative sentiments expressed.
Apoorva has completed M.Tech in Computer Science and Engineering from Amity University, India. Her areas of research include Big Data, Robotics, Artificial Intelligence, Predictive Analytics, Security, Data Science. She is pioneer research analyst with a number of research publications.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Customers are considered to be the primary areas of concern for increasing the profits and enhanced business solutions in terms of their feedback, responses, likelihood of new purchases and their interest to stay connected with the company through its products and services. In order to attain optimized solutions and more efficient business decisions, computationally intelligent methods are deployed like artificial intelligence, machine learning, optimization algorithms which include differential evolution, genetic algorithms.An advancement incorporating computational intelligence for business intelligence is in predictive analytics. It has been observed that if cloud is a huge pool of database including pictures, videos, text, reviews, sentiment, then at the same time there exist a situation today where the liability and the authenticity of the data available online is challenged.Hence, it has been experimented and successfully calculated that that differential evolution for optimization is beneficial for filtering the reliable sentiments of the customers supporting recommendations in terms of the fitness functions on the basis of the positive and the negative sentiments expressed. 64 pp. Englisch. N° de réf. du vendeur 9783659759888
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta ApoorvaApoorva has completed M.Tech in Computer Science and Engineering from Amity University, India. Her areas of research include Big Data, Robotics, Artificial Intelligence, Predictive Analytics, Security, Data Science. She . N° de réf. du vendeur 158123835
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Customers are considered to be the primary areas of concern for increasing the profits and enhanced business solutions in terms of their feedback, responses, likelihood of new purchases and their interest to stay connected with the company through its products and services. In order to attain optimized solutions and more efficient business decisions, computationally intelligent methods are deployed like artificial intelligence, machine learning, optimization algorithms which include differential evolution, genetic algorithms.An advancement incorporating computational intelligence for business intelligence is in predictive analytics. It has been observed that if cloud is a huge pool of database including pictures, videos, text, reviews, sentiment, then at the same time there exist a situation today where the liability and the authenticity of the data available online is challenged.Hence, it has been experimented and successfully calculated that that differential evolution for optimization is beneficial for filtering the reliable sentiments of the customers supporting recommendations in terms of the fitness functions on the basis of the positive and the negative sentiments expressed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. N° de réf. du vendeur 9783659759888
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Taschenbuch. Etat : Neu. Sentiment Analysis for Market Prediction Using DE & GA | Apoorva Gupta | Taschenbuch | 64 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659759888 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104217670
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