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An efficient data mining technique for discovering interesting association rules

Show-Jane Yen, A.L.P. Chen
Database and Expert Systems Applications. 8th International Conference, DEXA '97. Proceedings  
Also, an efficient data mining technique is proposed to extract the sequential patterns according to the users'requests.  ...  From the data mining language, users can specify the interested items and the criteria of the sequential patterns to be discovered.  ...  We propose an efficient data mining technique to process the user requirement.  ... 
doi:10.1109/dexa.1997.617409 dblp:conf/dexaw/YenC97 fatcat:dvi3ohutwfffja2urr66re2duq

A novel approach to prune mined association rules in large databases

D. Narmadha, G. NaveenSundar, S. Geetha
2011 2011 3rd International Conference on Electronics Computer Technology  
It is crucial to help the decision-maker with an efficient postprocessing step in order to select interesting association rules throughout huge volumes of discovered rules.  ...  Further, an analysis of different association rule mining techniques for market basket analysis, highlighting strengths of different association rule mining techniques are also discussed.  ...  Introduction In data mining, association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases.  ... 
doi:10.1109/icectech.2011.5942031 fatcat:ragrtukanzanhmp6qixpfyenny

A Survey of Fuzzy Based Association Rule Mining to Find CoOccurrence Relationships

Anubha Sharma, Asst. Prof. Nirupama Tiwari
2014 IOSR Journal of Computer Engineering  
and well researched method for discovering interesting relations between variables in large databases.  ...  The overall goal of the data mining process is to extract knowledge from an existing data set and transform it into a human-understandable structure.In data mining, association rule learning is a popular  ...  Discovering association rules is at the heart of data mining.  ... 
doi:10.9790/0661-16158387 fatcat:c2gzdb24y5crzkbh43kpsdilfy

Survey on Web Usage Mining using Association Rule Mining

Shanthi S
2017 Zenodo  
Web mining i s a data mining technique to extract information from web documents.  ...  This survey paper is about the recent researches and developments in the field of web mining using association rule algorithm.  ...  Proposed algorithm is an integrated system (Web Tool) for applying data mining techniques such as association rules or sequential patterns on access log files.  ... 
doi:10.5281/zenodo.4299697 fatcat:2mj2xo5donbqxoprvf3xufbz2m

Ranking discovered rules from data mining with multiple criteria by data envelopment analysis

Mu-Chen Chen
2007 Expert systems with applications  
In data mining applications, it is important to develop evaluation methods for selecting quality and profitable rules.  ...  An example of market basket analysis is applied to illustrate the DEA based methodology for measuring the efficiency of association rules with multiple criteria.  ...  Acknowledgements The authors would like to thank the National Science Council of the Republic of China, Taiwan for financially supporting this research under Contract No. NSC 95-2416-H-009-034-MY3.  ... 
doi:10.1016/j.eswa.2006.08.007 fatcat:ciceajdddnaglp2aoqql63naei

An Efficient Algorithm for Mining Coherent Association Rules

Sharada Narra, Siva Ponugoti, Suresh Mullapudi, Madhavi Dabbiru
2014 International Journal of Computer Applications  
There are many data mining techniques for finding association rules with the predefined minimum support from transaction databases.  ...  Mining association rules without minimum support threshold is an important approximation of the association rule mining problem, which has been recently proposed [1] .In this approach rules are generated  ...  ACKNOWLEDGEMENTS Our thanks to Prof.Ch.Suresh and Director (R&D) Dr.K.V.S.V.N Raju for many helpful suggestions and comments in this work.  ... 
doi:10.5120/16769-6336 fatcat:qgkyoio53jdjriq2ktkfodmnci

Analytical Study of Association Rule Mining Methods in Data Mining

Bhavesh M. Patel, Vishal H. Bhemwala, Dr. Ashok R. Patel
2018 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
In data processing, the foremost common and effective technique is to spot frequent pattern victimization association rule mining.  ...  It's true that one paper isn't enough for complete analysis of all smart researches, however it'll facilitate in future to urge right direction towards association rule mining analysis for fascinating,  ...  There are so many techniques in data mining, but one of the most interesting techniques is association rules mining. Over the last seventeen years it has been developed at a very dynamic rate.  ... 
doi:10.32628/cseit1833244 fatcat:ndopsdk6enfr7hphvuhmiym43e

A Compression Based Methodology to Mine All Frequent Items

Rajendra Chouhan, Khushboo Sawant, Dr. Harish Patidar
2018 International Journal of Trend in Scientific Research and Development  
This paper will present an compression based technique for mining frequent items from a transaction data set.  ...  It has taken up the challenge to develop techniques that can help humans to discover useful patterns data. One such important technique is frequent pattern mining.  ...  Each measure has its own selection bias that justifies the sociation rules over ]. As a result, selecting a right interestingness measure for mining association rules is blem.  ... 
doi:10.31142/ijtsrd18423 fatcat:64utclhyijd23bvwhszf5zat5u

On Ranking Discovered Rules of Data Mining by Data Envelopment Analysis: Some Models with Wider Applications [chapter]

Mehdi Toloo, Soroosh Nalchigar
2011 New Fundamental Technologies in Data Mining  
Many data mining techniques have also been presented in various applications, such as association rule mining, sequential pattern mining, classification, clustering, and other statistical methods (Chen  ...  Extracting association rules has received considerable research attention and there are several efficient algorithms that cope with popular and computationally expensive task of association rule mining  ...  According to the interestingness issue has long been identified as an important problem in data mining.  ... 
doi:10.5772/13659 fatcat:hf6cjwskyrfudh6tlmxfnyxwyi

A Study on Milestones of Association Rule Mining Algorithms in Large Databases

Saravanan Suba, Chistopher.T Chistopher.T
2012 International Journal of Computer Applications  
The Association rule mining identifies the useful associations or relationship among big set of data items.  ...  Data mining helps in doing automated extraction and generating predictive information from large amount of data. The association rule mining is one of the important area of research in Data mining.  ...  Parthasarathy proposed an efficient method to progressively sample for association Rules [19] in 2002.  ... 
doi:10.5120/7167-9674 fatcat:mcawsbbikvc5larnru7rjhacj4

Recent Trends and Research Issues in Video Association Mining

Vijayakumar, Nedunchezhian
2011 The International Journal of Multimedia & Its Applications  
Discovering association rules between items in a large video database plays a considerable role in the video data mining research areas.  ...  The purpose of this paper is to provide general framework of mining the association rules from video database.  ...  And also, we have presented an efficient general framework for mining the association rules in the video data base.  ... 
doi:10.5121/ijma.2011.3405 fatcat:otbefjxy4vaynmosfmqmre5qai

A Cryptographic Approach to Mine Unified Frequent Itemsets in Distributed Databases

Shaheen Banu, Asiya Banu B.
2016 International Journal of Engineering Research and  
Many data mining techniques are available to find useful hidden information from huge database, Association Rule Mining is one such data mining technique.  ...  Discovering meaningful patterns from huge quantities of data lead to an emerging technology called data mining.  ...  This lead to development of data mining techniques such as association rules. Example for an Association rule: 98% of customers who purchase milk will also purchase sugar.  ... 
doi:10.17577/ijertv5is010442 fatcat:zzaoriqpbnalfn6lmm2gqsugm4

Efficient Updating of Discovered Patterns for Text Mining: A Survey

Anisha Radhakrishnan, Mathew Kurian
2012 International Journal of Computer Applications  
There are many techniques for mining the useful patterns from the text document. Researchers are still going in efficient updating of discovered pattern.  ...  Text mining is the techniques of retrieving interesting information from the text document. Through the devising of patterns, we can retrieve high-quality information.  ...  ASSOCIATION RULE Business organizations consist of the huge amount of data for their day to day operations. Association rule are interesting pattern and it is discovered from the data set.  ... 
doi:10.5120/9248-3412 fatcat:at5yg5umyzgdllhko5xc773d64

A COMPARATIVE STUDY OF ASSOCIATION RULE MINING TECHNIQUES AND PREDICTIVE MINING APPROACHES FOR ASSOCIATION CLASSIFICATION

Kavita Mittal
2017 International Journal of Advanced Research in Computer Science  
Association Rule Mining (ARM) and classification are integrated together to build competitive classifier models called Associative Classifiers and this approach is known as Association Classification (  ...  AC leads to the formation of accurate classifier consisting of significant rules capable of predicting the class of the data.  ...  Association Rule Mining (ARM) Association Rule mining being an important research branch of data mining aims to find interesting and frequent patterns, discover correlations among set of data in data repositories  ... 
doi:10.26483/ijarcs.v8i9.4984 fatcat:dcywgghzvbao7l4azddk47gi4e

A Framework for Incremental Mining of Interesting Temporal Association Rules

Ahmed Sultan
2015 International Journal of Computer Applications  
Association rules are an important problem in data mining.  ...  In this paper, an incremental association rules mining algorithm is proposed that integrates interestingness criterion during the process of building the model called SUMA.  ...  , S.D., Kao, B.: A general Incremental Technique for Mining Discovered Association Rules, Proc.  ... 
doi:10.5120/ijca2015907433 fatcat:nv7rbchicnddrgz76hfwwq5rre
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