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中国人民大学统计学院吕晓玲教授、王菲菲副教授就联合文本主题建模问题在《Data Mining and Knowledge Discovery》发表论文（图）
吕晓玲 王菲菲 建模 文本
2024/11/26
中国人民大学统计学院吕晓玲教授、王菲菲副教授在《Data Mining and Knowledge Discovery》发表论文。该研究主要探讨了两种带有联动作用的文本主题建模问题。研究中提出了一种全新的Joint Dynamic Topic Model(JDTM)模型，该模型在传统的动态主题模型的基础上，通过建立两种文本在时间上的前后关联性，可以挖掘两类文本的“超前-滞后”作用（lead-lag...
上海财经大学信息管理与工程学院数据挖掘课件 Data Mining with R（Codes）
上海财经大学 信息管理与工程学院 数据挖掘 课件 Data Mining with R
2019/7/24
上海财经大学信息管理与工程学院数据挖掘课件 Data Mining with R（Codes）。
上海财经大学信息管理与工程学院数据挖掘课件 Data Mining with WEKA
上海财经大学 信息管理与工程学院 数据挖掘 课件 Data Mining with WEKA
2019/7/24
上海财经大学信息管理与工程学院数据挖掘课件 Data Mining with WEKA。
上海财经大学信息管理与工程学院数据挖掘课件 Introduction to Data Mining
上海财经大学 信息管理与工程学院 数据挖掘 Introduction to Data Mining
2019/7/24
上海财经大学信息管理与工程学院数据挖掘 Introduction to Data Mining。
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...
Privacy Notions for Privacy-Preserving Distributed Data Mining: Foundations and Privacy Games
privacy privacy games privacy notions
2017/11/27
It is well understood that the huge volumes of data captured in recent years have the potential to underpin significant research developments in many fields. But, to realise these benefits, all releva...
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...
Third International Conference on Spatial Data Mining and Geographical Knowledge Services
Third International Conference Spatial Data Mining and Geographical Knowledge Services
2017/4/26
ICSDM aims to provide a unique inter- and multi-disciplinary forum for all the professionals involved in spatiotemporal big data analysis, trajectory mining, stream data mining, night-time light remot...
Modelling and mapping of soil damage caused by harvesting in Caspian forests (Iran) using CART and RF data mining techniques
forestry operations hazard zoning spatial prediction timber skidding tree ensemble techniques
2018/3/6
Controlling the soil damage caused by forest harvesting has a key role in forest management due to its effect on forest
dynamics and productivity, mainly through modifying the physical, mechanical, a...
2017年第21届亚太知识发现和数据挖掘会议（The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining）
2017 亚太 知识发现 数据挖掘 会议
2017/2/15
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of knowledge discovery and data mining (KDD). It provides an international...
2017年信息系统与数据挖掘国际会议(ICISDM 2017)（2017 International Conference on Information System and Data Mining）
2017年 信息系统与数据挖掘 国际会议
2017/1/11
Welcome to the official website of the 2017 International Conference on Information System and Data Mining (ICISDM2017). The conference will take place at the College of Charleston, South Carolina, US...
IMPROVEMENT EVALUATION ON CERAMIC ROOF EXTRACTION USING WORLDVIEW-2 IMAGERY AND GEOGRAPHIC DATA MINING APPROACH
Geographical Data Mining GEOBIA WorldView-2 Ceramic roof C4.5 Decision Tree Classification accuracy
2016/11/24
Advances in geotechnologies and in remote sensing have improved analysis of urban environments. The new sensors are increasingly suited to urban studies, due to the enhancement in spatial, spectral an...