开课单位--波尔图大学
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Investigating Sinners and Saints: A Forensic Linguistic Analysis of Plagiarism[调查罪人和圣徒:剽窃的法医语言学分析]
  Rui Sousa-Silva(波尔图大学) Investigating Sinners and Saints: A Forensic Linguistic Analysis of Plagiarism
热度:35

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Analyzing pre-conditions to introduce internet voting in Portugal: Insights from the Estonian model[分析葡萄牙引入互联网投票的先决条件:爱沙尼亚模式的启示]
  Marlon Freire(波尔图大学) Analyzing pre-conditions to introduce internet voting in Portugal: Insights from the Estonian model
热度:25

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A Semi-fuzzy approach for online divisive-agglomerative clustering[在线分裂聚类的半模糊的方法]
  Pedro Pereira Rodrigues(波尔图大学) The Online Divisive-Agglomerative Clustering (ODAC) is an incremental approach for clustering streaming time series using a hierarchical procedure ove...
热度:31

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Clustering Distributed Sensor Data Streams[聚类分布式传感器数据流]
  Pedro Pereira Rodrigues;Joao Gama; Luis Lopes(波尔图大学) In this work we study the problem of continuously maintain a cluster structure over the data points generated by a sensor network. We propose DGClust,...
热度:36

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Utility-Based Regression[基于效用的回归]
  Luis Torgo(波尔图大学) 基于效用的回归
热度:33

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Predicting Rare Extreme Values - recent developments[预测罕见的极端值-最近的发展]
  Luis Torgo(波尔图大学) Predicting rare extreme values of a continuous variable is of key importance in several important real world applications (e.g. finance, ecology, etc....
热度:61

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Issues in Evaluation of Stream Learning Algorithms[流学习算法评价中的几个问题 ]
  Joao Gama(波尔图大学) Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them...
热度:66

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Data Stream Mining for Ubiquitous Environments[针对无处不在的数据流挖掘 ]
  Joao Gama(波尔图大学) In the data stream computational model examples are processed once, using restricted computational resources and storage capabilities. The goal of dat...
热度:36
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