원문정보
국제인공지능학회(구 한국인터넷방송통신학회)
The International Journal of Advanced Smart Convergence
Volume 6 Number 1
2017.03
pp.39-43
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
As the industry grows, the amount of data grows exponentially, and data analysis using these serves as a predictable solution. As data size increases and processing speed increases, it has begun to be applied to new fields by combining artificial intelligence technology as well as simple big data analysis. In this paper, we propose a method to quickly apply a machine learning based algorithm through efficient resource allocation. The proposed algorithm allocates memory for each attribute. Learning Distinct of Attribute and allocating the right memory. In order to compare the performance of the proposed algorithm, we compared it with the existing K-means algorithm. As a result of measuring the execution time, the speed was improved.
목차
Abstract
1. Introduction
2. Main Subject
2.1 WEKA API
2.2 Experimental data
3. Algorithm through efficient memory utilization
3.1 Preprocessing
3.2 Memory allocation
3.3 Clustering
4. Experiment result
5. Conclusion
References
1. Introduction
2. Main Subject
2.1 WEKA API
2.2 Experimental data
3. Algorithm through efficient memory utilization
3.1 Preprocessing
3.2 Memory allocation
3.3 Clustering
4. Experiment result
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보