Mining Big Data with Random Forests
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DOI: 10.1007/s12559-018-9615-4
Abstract: In the current big data era, naive implementations of well-known learning algorithms cannot efficiently and effectively deal with large datasets. Random forests (RFs) are a popular ensemble-based method for classification. RFs have been shown to… read more here.
Keywords: big data; mining big; random forests; large datasets ... See more keywords
Leader-follower multi-agent flocking with bounded missing data and random communication radius
Sign Up to like & getrecommendations! Published in 2019 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331218801148
Abstract: In this paper, the leader-follower Cucker–Smale flocking system with bounded missing data and random communication radius is studied. The communication network is determined by the stochastic distance radii between agents. The process by which data… read more here.
Keywords: communication; leader follower; leader; bounded missing ... See more keywords
Predicting stem total and assortment volumes in an industrial Pinus taeda L. forest plantation using airborne laser scanning data and random forest
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DOI: 10.3390/f8070254
Abstract: Improvements in the management of pine plantations result in multiple industrial and environmental benefits. Remote sensing techniques can dramatically increase the efficiency of plantation management by reducing or replacing time-consuming field sampling. We tested the… read more here.
Keywords: volumes industrial; plantation; total assortment; random forest ... See more keywords