In mdoi:10.1007/978-3-319-14142-8_16Charu C. AggarwalSpringer International PublishingData MiningAggarwal, Charu C. 2015. Mining spatial data. Chap. Trajectory mining, pages 544-554 of: Data Mining. Springer International Publishing.
Spatial data mining is the application of data mining to spatial models. In spatial data mining, analysts use geographical or spatial information to produce business intelligence or other results. This requires specific techniques and resources to get the geographical data into relevant and useful forma...
《Temporal, Spatial and Spatio-Temporal Data Mining》,作者:Temporal, Spatial and Spatio-Temporal Data Mining 著,出版社:湖南文艺出版社,ISBN:3540417737。
A new spatial data mining approach is developed to discover the significant spatial interaction patterns. First, we define some indicators to model the spatial association strength. Then, based on these indicators, algorithm of mining spatial transmission patterns is developed. The proposed approach can...
图6:Biological Insight Mining 总而言之,GAO Lab开发了一个robust的spatial data比对算法,实现了不同切片跨时间、跨分辨率甚至跨模态的spatial alignment,达到了目前spatial alignment的SOTA,是一个优秀的算法迁移应用的案例。 4. Discussion & Rethinking 相比较与WAlign算法(如下图所示),SLAT做了许多调整和改进: ...
Prediction of a random field based on observations of the random field at some set of locations arises in mining, hydrology, atmospheric sciences, and geography. Kriging, a prediction scheme defined as any prediction scheme that minimizes mean squared prediction error among some class of predictors ...
Bitcoin mining is not only the fundamental process to maintain Bitcoin network, but also the key linkage between the virtual cryptocurrency and the physical world. A variety of issues associated with it have been raised, such as network security, cryptoa
TheTime Series Forecasting toolsetin the Space Time Pattern Mining toolbox Feature, tabular, and text analysis tools in theGeoAI toolbox TheMultidimensional Analysis toolsetandDeep Learning toolsetin theImage Analysttoolbox ThePoint Cloud toolsetin the3D Analysttoolbox ...
Spatial data mining is one of the several ways to find the new knowledge from data collection. One of spatial data mining tasks is spatial association rule. There are numerous association rule algorithms have been developed for mining association. Unfortunately, the most algorithms can only used ...
With the rapid expansion of data, the problem of data imbalance has become increasingly prominent in the fields of medical treatment, finance, network, etc. And it is typically solved using the oversampling method. However, most existing oversampling met