Imbalanced data become an obstacle in data mining nowadays, minority class sometimes are more important than majority class, just like in medical diagnosis, credit card fraud and etc. This paper focuses on the imbalanced data problem that adaboost…
In order to improve the effect of agricultural disaster management, this paper uses environmental big data technology to analyse historical agricultural disaster data and analyse the role and impact of this technology in agricultural disaster…
Using data mining's decision tree classification, DBSCN cluster analysis, and K-nearest neighbor algorithm realizes the information mining of natural gas pipeline leak, and alse uncovers the objective laws behind the natural gas pipeline…
Hydrocarbon microseepage theory establishes a cause-and-effect relation between oil and gas reservoirs and special surface anomalies, mainly including surface hydrocarbons and related mineral alterations. Thus, diagnostic spectral features of…
Natural gas exploration has been shifting significantly in the last decades with the progression of new ingenious technologies. However, such technologies generates large amount of data sets and handling of them create problems such as interpretation…
Based on the artificial immunology, a hybrid algorithm to design the RBF networks assembly is proposed. An artificial immune mechanism for data clustering is used to adaptively classify the data sample and simultaneously specify the amount and…