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Big data and data mining have provided several breakthroughs in fields such as health informatics, smart cities and marketing. The same techniques, however, have not delivered consistent key findings ...
为探究不同赋存深度采动煤岩体巷道稳定性及其差异性，选择Data Mining(数据挖掘)技术，基于平顶山矿区不同赋存深度(700 m，850 m，1 050 m)巷道的现场监测数据，选择多元线性回归和神经网络模型对顶板离层进行公式拟合和影响因素的权重分析，并开展顶板离层及锚杆应力的时序预测研究，初步揭示不同赋存深度开采扰动影响范围、巷道变形及应力变化特征。研究结果表明：(1) 距工作面距离及锚杆应...
Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering...
Data mining finds more than expected beneath Andean Plateau（图）
data mining more than expected andean plateau
2017/9/5
Seismologists investigating how Earth forms new continental crust have compiled more than 20 years of seismic data from a wide swath of South America’s Andean Plateau and determined that processes the...
2017生物信息学数据挖掘国际研讨会（International Workshop on Data Mining in Bioinformatics）
2017 生物信息学数据挖掘 国际研讨会
2017/7/18
Bioinformatics is the science of managing, mining, and interpreting information from biological data. Various genome projects have contributed to an exponential growth in DNA and protein sequence data...
SPATIAL DATA MINING TOOLBOX FOR MAPPING SUITABILITY OF LANDFILL SITES USING NEURAL NETWORKS
Spatial data mining GIS neural networks ArcGIS toolbox landfill suitability analysis
2016/10/14
Mapping the suitability of landfill sites is a complex field and is involved with multidiscipline. The purpose of this research is to create an ArcGIS spatial data mining toolbox for mapping the suita...
Subsymbolic methods for data mining in hydraulic engineering
Subsymbolic methods data mining hydraulic engineering
2009/12/7
This paper describes the results of experiments with artificial neural networks (ANNs) and genetic programming (GP) applied to some problems of data mining. It is shown how these subsymbolic methods c...
Assessment of hydrological and seasonal controls over the nitrate flushing from a forested watershed using a data mining technique
seasonal controls nitrate flushing forested watershed
2009/4/29
A data mining, regression tree algorithm M5 was used to review the role of mutual hydrological and seasonal settings which control the streamwater nitrate flushing during hydrological events within a ...
The application of data mining techniques for the regionalisation of hydrological variables
regionalisation floods catchment characteristics data mining
2009/3/17
Flood quantile estimation for ungauged catchment areas continues to be a routine problem faced by the practising Engineering Hydrologist, yet the hydrometric networks in many countries are reducing r...
A look at aerosol formation using data mining techniques
aerosol formation data mining techniques
2009/2/19
Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study data mining ...
Adding the value of NAVTECH road database:
an implementation of spatial data mining techniques
2007/8/24
This paper reports a spatial data mining prototype system developed at the Technical University of Munich in cooperation with NavTech. The system serves the purpose of value-adding the roa...