Analysis and Implementation of Efficient Association Rules using K-mean and Neuralgas Algorithm

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 14, Issue 5

Abstract

 Efficient Privacy Preserving association rule mining has emerged as a latest research issue. In this thesis work, existing algorithms, Increase Support of Left Hand Side and Decrease Support of Right Hand Side are implemented successfully on the real data for Privacy Preserving Association Rule Mining. To provide privacy to sensitive data we also propose and implement a new algorithm .The performance of new algorithm is also compared with existing algorithms on the basis of number of rule pruned. The result show that proposed algorithm is more efficient as it performs privacy preserving mining by pruning more rules. Securing these against unauthorized access to the long-term goal of the database security research base community and the government statistical agencies. Whether data is personal or corporate data, data mining offers the potential to reveal what other regard as sensitive (private). In some cases, it may be of mutual benefit for two parties’ even competitors to be share their data for analysis task. They would like to it will be ensure their own data remains private. In other good words, there is a need to protect sensitive knowledge during a data mining process. For Experimental work, we have used a realistic database of Doctor Patient Evaluation is taken from Medical College

Authors and Affiliations

Mohnish Patel

Keywords

Related Articles

 Handwritten Character Recognition Based on Zoning Using Euler Number for English Alphabets and Numerals

 Abstract: Handwritten Character Recognition has been a challenging research domain due to its diverse applicable environment. Handwriting has always been and will possibly continue to be a means of communication. T...

Modeling and Processing of Cloud Computing and It’s Performance Measurement

Abstract: Cloud computing is the growing technology of large scale distributed computing. It provides ondemand access to distributed resources, which are available in open environment on paid basis. Because all most all...

A Critical Analysis of Knowledge Management in E-Learning

The integration of knowledge management (Klick) and e-encyclopaedism (Altitude) become inevitable day by day. KM coating focuses in providing institutions with prick to enrich knowledge, while the EL focuses on managing...

Bandwidth Assurance Using Energetic Fusion Channel In Ad-Hoc Networks

Wireless mesh networks (WMNs) have been proposed to provide cheap, easily deployable and vigorous Internet access. Improving user throughput is a primary objective in a WMN. The system focus on wireless networks with ina...

 Energy-Balanced Dispatch of Mobile Sensors in Hybrid Wireless Sensor Network with Obstacles

We consider a hybrid wireless sensor network with static and mobile nodes. Static sensors monitor the environment and report events occurring in the sensing field. Mobile sensors are then dispatched to visit these even...

Download PDF file
  • EP ID EP151939
  • DOI -
  • Views 116
  • Downloads 0

How To Cite

Mohnish Patel (2013).  Analysis and Implementation of Efficient Association Rules using K-mean and Neuralgas Algorithm. IOSR Journals (IOSR Journal of Computer Engineering), 14(5), 60-64. https://europub.co.uk/articles/-A-151939