Design and Development of Apriori Algorithm for Sequential to concurrent mining using MPI
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 10, Issue 7
Abstract
Owing to the conception of big data and massive data processing there are increasing owes related to the temporal aspects of the data processing. In order to address these issues a continuous progression in data collection, storage technologies, designing and implementing large-scale parallel algorithm for Data mining is seen to be emerging in a rapid pace. In this regards, the Apriori algorithms have a great impact for finding frequent item sets using candidate generation. This paper presents highlights on parallel algorithm for mining association rules using MPI for passing message base in the Master-Slave based structural model.
Authors and Affiliations
Urmila Pol
Keywords
Related Articles
- EP ID EP650206
- DOI 10.24297/ijct.v10i7.7026
- Views 88
- Downloads 0
ZigBee-Based Wireless Sensor Network for Temperature Monitoring
The proposed system in this paper describes the design and implementation of a Wireless Sensor Network (WSN) based on ZigBee technology to monitor the history and current temperature information of remote locations. The...
A review on working models of packet filtering in firewall technology
The goal of packet filtering in firewall technology is to sort packets based on packet characteristics. This paper represents the survey on various working models of packet filtering in firewall technology.
DNA sequence comparison based on Tabular Representation
DNA sequence comparison remains as one of the critical steps in the analysis of phylogenetic relationships between species. In order to get quantitative comparison, we want to devise an algorithm that would use the tabul...
A REVIEW ON A HYBRID APPROACH USING MOBILE SINK AND FUZZY LOGIC FOR REGION BASED CLUSTERING IN WSN
A Wireless Sensor Network or WSN is supposed to be made up of a large number of sensors and at least one base station. The sensors are autonomous small devices with several constraints like the battery power, computation...
Ant-Snake model for Linear Feature Extraction from Satellite Image
This paper proposes an optimized mathematical model for linear feature extraction from satellite images. The model is based on a developed ant colony model combined with the snake model (called Ant-Snake model) to identi...