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[PDF] Top 20 Association Rule based Recommendation System using Big Data

Has 10000 "Association Rule based Recommendation System using Big Data" found on our website. Below are the top 20 most common "Association Rule based Recommendation System using Big Data".

Association Rule based Recommendation System using Big Data

Association Rule based Recommendation System using Big Data

... of data can be processed with the help of various cloud computing platforms which facilitates parallel ...of data with satisfactory fault ...of data on large clusters of commodity hardware in a ... See full document

6

Map Reduce: Fast Parallel Association Rule For Big Data

Map Reduce: Fast Parallel Association Rule For Big Data

... The data that is accessed from the search engines used to process some tera bytes of data this data is complex to cope up with because of high speed and heterogeneous in nature developed by ... See full document

5

News Recommendation Solution using Big Data Analytics

News Recommendation Solution using Big Data Analytics

... Recommendation system is very essential and gets attention in different fields of ...searched data. So, the research is based on ...technique. Recommendation system does not ... See full document

8

Mining Association Rules for User Recommendation of E-Commerce Websites

Mining Association Rules for User Recommendation of E-Commerce Websites

... descriptive data mining techniques is Association rule miningowing to its extensive use in marketing and retail communities and many other diverse ...Mining association rules are particularly ... See full document

10

A Study on Product Recommendation System vide Machine Learning using Big Data

A Study on Product Recommendation System vide Machine Learning using Big Data

... Big Data: As the data or information at Twitter repositories are in high volume therefore to produce the recommendation system on the fly needs the best mechanism to store the tweets, ... See full document

7

An 
		efficient personalized hotel recommendation system for big data 
		applications

An efficient personalized hotel recommendation system for big data applications

... online data has developed quickly, yielding the enormous information examination issue for administration recommender ...client based Collaborative Filtering calculation is received to create proper ... See full document

6

KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data

KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data

... Provide Recommendation to user using User-Based Collaborative filtering the Reviews of previous users as well as product details for all services available at that shops sites are handled by the ... See full document

5

THE COMPARATIVE ANALYSIS OF ROAD ACCIDENT DATA USING DATA MINING TECHNIQUES Dr. B.G.Geetha 1, Abinaya.N2 , Abirami Sivasakthi.M 3 Aishwarya.T 4

THE COMPARATIVE ANALYSIS OF ROAD ACCIDENT DATA USING DATA MINING TECHNIQUES Dr. B.G.Geetha 1, Abinaya.N2 , Abirami Sivasakthi.M 3 Aishwarya.T 4

... study, association rule mining algorithms are well established and effective in general ...to big data, related algorithms are not mature and need further ...new data is inserted into ... See full document

7

A survey on Intrusion Detection System by Using Data Mining Based on Class Association Rule Mining Using GNP

A survey on Intrusion Detection System by Using Data Mining Based on Class Association Rule Mining Using GNP

... Detection System (IDS) due to new attack methods or upgraded computing ...a data mining framework for adaptively building Intrusion Detection (ID) ...unwanted data/traffic. The proposed system ... See full document

5

A Hybrid Cluster Based Collaborative Filtering with Tensor Factorization Approach for Recommendation System in Big Data

A Hybrid Cluster Based Collaborative Filtering with Tensor Factorization Approach for Recommendation System in Big Data

... a recommendation system that considers a plan known as topic ...n recommendation are balanced because the users’ extended interest also will be taken into consideration in step with this ... See full document

9

Smart Service Recommendation System by Applying MapReduce Techniques on Big Data

Smart Service Recommendation System by Applying MapReduce Techniques on Big Data

... existing system they have proposed a keyword-aware service recommendation method, named ...user based Collaborative Filtering algorithm is adopted to make appropriate ...by using preferences ... See full document

6

Improved Keyword Aware Service Recommendation System for Big Data Applications

Improved Keyword Aware Service Recommendation System for Big Data Applications

... The main steps of KASR includes capturing preferences of an active user ,computing the similarity of active user preference to a previous user preference ,and recommending personalized services to the active user by ... See full document

7

TRAINING AND DEVELOPMENT OFARTIFICIAL NEURAL NETWORK MODELS: SINGLE LAYER 
FEEDFORWARD AND MULTI LAYER FEEDFORWARD NEURAL NETWORK

TRAINING AND DEVELOPMENT OFARTIFICIAL NEURAL NETWORK MODELS: SINGLE LAYER FEEDFORWARD AND MULTI LAYER FEEDFORWARD NEURAL NETWORK

... Big data has been attracted in information industry and in the society in the recent years, due to the wide availability of huge amount of data in the Internet and the complexity of data is ... See full document

12

Various Methods of Using Content-Based Filtering Algorithm for Recommender Systems

Various Methods of Using Content-Based Filtering Algorithm for Recommender Systems

... Microblogs are becoming a huge internet resource repository in the past few years and these microblogging systems are produced by hundreds of millions of people. Microblogs are especially very popular in china and have a ... See full document

8

Two Recommendation System Algorithms Used SVD And Association Rule On Implicit And Explicit Data Sets

Two Recommendation System Algorithms Used SVD And Association Rule On Implicit And Explicit Data Sets

... recommender system can improve the decision-making process [6]. Recommender system [9] used to filter out information to users between a lot of daily needs and millions of services and products like ... See full document

8

ONLINE BOOK RECOMMENDATION SYSTEM USING ASSOCIATION RULE MINING AND COLLABORATIVE FILTERING

ONLINE BOOK RECOMMENDATION SYSTEM USING ASSOCIATION RULE MINING AND COLLABORATIVE FILTERING

... is based on the user’s evaluation of items or previous purchases ...Content based filtering to detect the similarity between items that share the same attributes or features causes overspecialized ... See full document

5

Efficient Intelligent Generic Recommendation Knowledge Graph in Education Domain using Association Rule Mining and Machine Learning

Efficient Intelligent Generic Recommendation Knowledge Graph in Education Domain using Association Rule Mining and Machine Learning

... during data retrieval ...embedding data through ...support system over the digital ...processed data as an information then specific ...and rule based mining with corresponding ... See full document

6

Toward personalize User-based Recommendation System for big data Application

Toward personalize User-based Recommendation System for big data Application

... proposed system which gives solution to problem identified. Proposed system also used for to improve the scalability and inefficiency in "Big Data" environment, proposed system ... See full document

7

A Hybrid Web Recommendation System Based on the Improved Association Rule Mining Algorithm

A Hybrid Web Recommendation System Based on the Improved Association Rule Mining Algorithm

... the recommendation process, the engine compares items that were already positively rated by user with items he did not rate and looks for ...are based on individual ... See full document

9

SOCIAL GROUP RECOMMENDATION SYSTEM BASED ON BIG DATA

SOCIAL GROUP RECOMMENDATION SYSTEM BASED ON BIG DATA

... Social information area unit is a vital supplement to context analysis during a recommender system, they embrace varied styles of emotional data that influence the judgment of the advice results. With the ... See full document

5

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