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Data Mining
arXiv (Cornell University)
Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning
2023
Adaptive sampling and planning in robotic environmental monitoring are challenging when the target environmental process varies over space and time. The underlying environmental dynamics require the planning module to integrate future environmental changes so…
Article

Data Mining

Process of extracting and discovering patterns in large data sets

Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.

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arXiv (Cornell University)
Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning
2023
Adaptive sampling and planning in robotic environmental monitoring are challenging when the target environmental process varies over space and time. The underlying environmental dynamics require the planning module to integrate future environmental changes so that action decisions made earlier do not quickly become outdated. We propose a Monte Carlo tree search method which not only well balances the environment exploration and exploitation in space, but also catches up to the temporal environmental dynamics. This…
Click Data Mining Vs:
Computer Science
Monte Carlo Method
Process (Computing)
Machine Learning
Artificial Intelligence
Statistics
Mathematics
Oceanography
Mathematical Analysis
Click Data Mining Vs:
Computer Vision