[PDF] Top 20 A Clustering Based Collaborative and Pattern based Filtering approach for Big Data Application
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A Clustering Based Collaborative and Pattern based Filtering approach for Big Data Application
... applications. Data mining techniques were applied to text mining and classification by using word sequences as descriptive phrases (n-Gram) from document ...phrases. Pattern mining has been extensively ... See full document
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Pattern Based Filtering Approach for Big Data Application
... incoming data document. A content-based filtering system select item on the basis of correlation in between content and item and also the preference of the user ...Mobile data mining systems ... See full document
6
Recommendation System Based On Clustering and Collaborative Filtering
... largest data warehouse with 500 terabytes storage (equivalent to 50 printed collections of the US Library of ...digital data, capturing trillions of bytes of information about their customers, suppliers and ... See full document
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Collaborative Filtering Approach For Big Data Applications in Social Networks
... the Big Data applications where data collection has grown total number of services, the time of rating similarity tremendously and is beyond the ability of commonly used computation between every ... See full document
5
A review of Content and Collaborative filtering approaches on Movielens Data
... model based collaborative filtering uses the ratings provided to the items to recommend them to the ...preferences. Clustering and rule based techniques are some of the well known ... See full document
6
A Novel Approach for Smart Shopping using Clustering Based Collaborative Filtering
... of data sparsity number of methods are put forward by ...on data sparsity problem can be largely divided as i) Model-based CF and hybrid recommender algorithm, ii) improved user similarity calculated ... See full document
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A Hybrid Cluster Based Collaborative Filtering with Tensor Factorization Approach for Recommendation System in Big Data
... uses collaborative filtering algorithm for supervised learning was developed and this model classifies even the new unseen ...Content-Boosted collaborative Filtering utilized content primarily ... See full document
9
User preference tree based personalized online learning managment system
... a collaborative filtering engine, which works with ratings that users provide for learning resources, with an inference rule engine that is mining association rules between the learning resources and using ... See full document
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Enhanced K-Means Clustering Algorithm Using Collaborative Filtering Approach
... consider data based on real world and all objects inside a cluster which gives a suitable agent with the help of mean of the attribute vectors; we can utilize distinctive sorts of centroid in different ... See full document
6
A Literature Review of Personalized Learning Algorithm
... Using data mining for user behavior helps us under- stand the regularity of user’s use of the system, but there are certain ...the application of sequential pattern to personalized recommendation ... See full document
9
KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data
... content- based, collaborative and hybrid ...preferring Collaborative filtering approaches that recommends services to the user that users with similar tastes preferred in the ...Item- ... See full document
5
Implementation of Item and Content based Collaborative Filtering Techniques based on Ratings Average for Recommender Systems
... information filtering and a potential method to solve the information overload ...And collaborative filtering (CF) is the most important technique of recommender ...Another approach is using ... See full document
5
Enhancing User Profile By Combining User And Item Based Collaborative Filtering
... domain.A data clustering based recommendation system model was proposed by Katarya et ...search based K- Means clustering model has been proposed for the recommendation ...a ... See full document
5
An Approach for Enhancing Aviation Service Satisfaction based on Collaborative Filtering
... is big data, and technology to store, analyze and apply big data is getting ...of Big Data, technology to actually handle Big Data has become a real ...need. ... See full document
6
Collaborative Filtering Approach of Keyword Aware Service Recommendation for Big Data Applications on Map Reduce
... on-line data has grown quickly, yielding the Big Data analysis as a drawback for service recommender ...many approach to provide recommendations to users are ...preferences. Filtering ... See full document
7
Collaborative Based Clustering On Big Data Using HACE Theorem
... of data produced by many organizations is outpacing their storage ...of data is quite expensive due to the requirements of high storage capacity and qualified ...the Big Data is used to ... See full document
8
Recommender System Using Clustering Based On Collaborative Filtering Approach
... field Collaborative Filtering (CF) is one of the most successful ...users based on their neighbor’s preferences Collaborative filtering creates better ...scalability, data ... See full document
5
SBKMMA: Sorting Based K Means and Median Based Clustering Algorithm Using Multi Machine Technique for Big Data
... computational approach that involves breaking large volumes of data down into smaller batches, and processing them ...its big data sets ... See full document
7
Evaluation of BIRCH Clustering Algorithm for Big Data
... and Clustering Using Hierarchies (BIRCH) is an unsupervised and data mining clustering algorithm which is introduced by Zhang et al ...speed clustering algorithm available. It is a data ... See full document
5
A reinforced collaborative filtering approach based on similarity propagation and score predication graph
... serious data sparsity problem and the cold start ...are based on single information source and cannot effectively solve the cold start and data sparsity ...solve data sparsity fail to consider ... See full document
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