Song, Y., Chen, H.W. and Zhang, X.H. (2007) Short Term Electric Load Forecasting Model Integrating Multi Intelligent Computing Approach. Computer Engineering and Application, 43, 185-188.

has been cited by the following article:

• TITLE: Research on Realization of Petrophysical Data Mining Based on Big Data Technology

  AUTHORS: Yu Ding, Rui Deng, Chao Zhu

  KEYWORDS: Big Data Technology, Data Mining, Logging Field Method

  JOURNAL NAME: Open Journal of Yangtze Oil and Gas, Vol.3 No.1, January 31, 2018

  ABSTRACT: This paper studied the interpretation method of realization of data mining for large-scale petrophysical data, which took distributed architecture, cloud computing technology and B/S mode referred to big data technology and data mining methods. Based on petrophysical data mining application of K-means clustering analysis, it elaborated the practical significance of application association with big data technology in well logging field, which also provided a scientific reference for logging interpretation work and data analysis and processing method to broaden the application.