Augmented Visualization of Association Rules for Data Mining
نویسندگان
چکیده
This paper describes a proposal for enhanced visualization of a data-‐mining model generated with Association Rule (AR) techniques by applying Self-‐Organizing Maps (SOM). A representation of visual percep-‐ tion model of AR based on a method called AVM-‐DM (Augmented Visualiza-‐ tion Models for Data Mining) is established, together with data and pat-‐ terns, which support the visual exploration stage, thus fitting in the context of the KDD (Knowledge Discovery in Databases) process. This methodology seeks to answer generic user questions regarding the inner workings of the model, BLOCKIN BLOCKIN and BLOCKIN
منابع مشابه
Introducing an algorithm for use to hide sensitive association rules through perturb technique
Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...
متن کاملUsing a Data Mining Tool and FP-Growth Algorithm Application for Extraction of the Rules in two Different Dataset (TECHNICAL NOTE)
In this paper, we want to improve association rules in order to be used in recommenders. Recommender systems present a method to create the personalized offers. One of the most important types of recommender systems is the collaborative filtering that deals with data mining in user information and offering them the appropriate item. Among the data mining methods, finding frequent item sets and ...
متن کاملEmploying data mining to explore association rules in drug addicts
Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are not investigated. Nowadays, there are some treatment centers which have comprehensive information about addicted people. Therefore, given the ...
متن کاملA new approach based on data envelopment analysis with double frontiers for ranking the discovered rules from data mining
Data envelopment analysis (DEA) is a relatively new data oriented approach to evaluate performance of a set of peer entities called decision-making units (DMUs) that convert multiple inputs into multiple outputs. Within a relative limited period, DEA has been converted into a strong quantitative and analytical tool to measure and evaluate performance. In an article written by Toloo et al. (2009...
متن کاملApplying a decision support system for accident analysis by using data mining approach: A case study on one of the Iranian manufactures
Uncertain and stochastic states have been always taken into consideration in the fields of risk management and accident, like other fields of industrial engineering, and have made decision making difficult and complicated for managers in corrective action selection and control measure approach. In this research, huge data sets of the accidents of a manufacturing and industrial unit have been st...
متن کامل