원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.6 No.5
2013.10
pp.119-132
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper concentrates on the issue of weather data mining. We propose a ARIMA algorithm based on Hadoop framework, and implement an effective weather data analyzing and forecasting system. We present the procedure to parallelize the ARIMA algorithm in the Hadoop environment, and construct a scalable, easy-to maintain, and effective weather forecasting system. Several experiments are conducted and results show that the proposed system is highly effective in terms of data storage, management, as well as query.
목차
Abstract
1. Introduction
2. Algorithm Design for the Forecast of ARIMA Model
2.1. Algorithm Flow Chart
2.2. Data Preprocessing
2.3. Zero Transform Processing
2.4. Stability Judgment
2.5. Pattern Recognition
2.6. Parameter Estimation
2.7. Model and Forecast Evaluation Index
2.8. Hadoop-based ARIMA Algorithm
3. Experiment Design and Result Analysis
3.1. The Weather Forecasting Platform
3.2. The Establishment of a Data Set
3.3. Experiment Design and Result Analysis
4. Conclusions
Acknowledgment
References
1. Introduction
2. Algorithm Design for the Forecast of ARIMA Model
2.1. Algorithm Flow Chart
2.2. Data Preprocessing
2.3. Zero Transform Processing
2.4. Stability Judgment
2.5. Pattern Recognition
2.6. Parameter Estimation
2.7. Model and Forecast Evaluation Index
2.8. Hadoop-based ARIMA Algorithm
3. Experiment Design and Result Analysis
3.1. The Weather Forecasting Platform
3.2. The Establishment of a Data Set
3.3. Experiment Design and Result Analysis
4. Conclusions
Acknowledgment
References
저자정보
참고문헌
자료제공 : 네이버학술정보