Administrative controls contains the official written policies, rules, events and standards. It form the outline for running the organization and handling people. The Rule-Based access control defines detailed circumstances for access to a demanded object. It uses an elementary user-naming syntax, thus can interoperate with maximum certification methods. In the previous work tabling is used to ...

Association rule mining (ARM) aims at extraction, hidden relation, and interesting associations between the existing items in a transactional database. The purpose of this study is to highlight fundamental of association rule mining, association rule mining approaches to mining association rule, various algorithm and comparison between algorithms. Keywords—Assocation Rule Mining; Bottom up Appr...

The progress in the development of data mining techniques achieved in the recent years is gigantic. The collative data mining techniques makes the privacy preserving an important issue. The ultimate aim of the privacy preserving data mining is to extract relevant information from large amount of data base while protecting the sensitive information. The togetherness in the information retrieval ...

Businesses share data, outsourcing for specific business problems. Large companies stake a large part of their business on analysis of private data. Consulting firms often handle sensitive third party data as part of client projects. Organizations face great risks while sharing their data. Most of this sharing takes place with little secrecy. It also increases the legal responsibility of the pa...

Program transformation is the mechanical manipulation of a program in order to improve it relative to some cost function and is understood broadly as the domain of computation where programs are the data. The natural basic building blocks of the domain of program transformation are transformation rules expressing a ‘one-step’ transformation on a fragment of a program. The ultimate perspective o...

Data mining is the art and science of intelligent analysis of (usually large) data sets for meaningful (and previously unknown) insights and is nowadays actively applied in a wide range of disciplines related to agriculture. Association Rule Mining is a powerful tool for generating rules from vast and diversified data such as agricultural datasets. Due to the emerging importance of data mining ...

The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule generation algorithms. Rule generation from artificial neural networks is gaining in popularity in recent times due to its capability of providing some insight to the user about the symbolic knowledge embedded within the network. Fuzzy sets are an aid in providing this information in a more human compre...

A 20-question survey was sent in the mail to HIM directors in Pennsylvania healthcare facilities to solicit feedback regarding implementation issues of the HIPAA privacy rule requirements. Questions focused on gathering basic demographic data, information on HIM involvement with the privacy rule requirements, the procedures whereby facilities were meeting the privacy rule requirements, occurren...

This paper describes the various fuzzy rule based techniques for image segmentation. Fuzzy rule based segmentation techniques can incorporate the domain expert knowledge and manipulate numerical as well as linguistic data. They are also capable of drawing partial inference using fuzzy IF-THEN rules. For these reasons they have been intensively applied in medical imaging. But these rules are app...

The paper gives an overview of privacy preserving in association rule mining techniques. In this paper, all the present privacy preserving using association rule hiding techniques are discussed. This paper also proposes a classification hierarchy that sets the basis for analyzing the work which has been performed in this context. A detailed review of the work accomplished in this area is also g...