Image de couverture de Collaborative filtering using data mining and analysis
Collaborative filtering using data mining and analysis
Titre:
Collaborative filtering using data mining and analysis
ISBN (Numéro international normalisé des livres):
9781522504900
PRODUCTION_INFO:
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : IGI Global, [2017]
Description physique:
PDFs (309 pages) : illustrations.
Table des matières:
Review of data mining techniques and parameters for recommendation of effective adaptive e-learning system / Renuka Mahajan -- Modified single pass clustering algorithm based on median as a threshold similarity value / Mamta Mittal [and 3 others] -- Dimensionality reduction techniques for text mining / Neethu Akkarapatty [and 3 others] -- History and overview of the recommender systems / Venkatesan M., Thangadurai K. -- A classification framework towards application of data mining in collaborative filtering / Neeti Sangwan, Naveen Dahiya -- Collaborative filtering based data mining for large data / Amrit Pal, Manish Kumar -- Big data mining using collaborative filtering / Anu Saini -- Collaborative and clustering based strategy in big data / Arushi Jain, Vishal Bhatnagar, Pulkit Sharma -- Association rule mining in collaborative filtering / Carson K.-S. Leung, Fan Jiang, Edson M. Dela Cruz, Vijay Sekar Elango -- A classification framework on opinion mining for effective recommendation systems / Mahima Goyal, Vishal Bhatnagar -- Combining user co-ratings and social trust for collaborative recommendation: a data analytics approach / Sheng-Jhe Ke, Wei-Po Lee -- Visual data mining for collaborative filtering: a state-of-the-art survey / Marenglen Biba, Narasimha Rao Vajjhala, Lediona Nishani -- Data stream mining using ensemble classifier: a collaborative approach of classifiers / Snehlata Sewakdas Dongre, Latesh G. Malik -- Statistical relational learning for collaborative filtering a state-of-the-art review / Lediona Nishani, Marenglen Biba.
Extrait:
"This book evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices, featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis"--Provided by publisher.
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Auteur collectif ajouté:

Langue:
Anglais