The Study of Classification Analysis on Oil Exploration Research Trends and Digging Technology Based on Properties of Biochemical Materials (2012-2013)

Shiang Hau Wu; Jiann Jong Guo

doi:10.4028/www.scientific.net/AMR.859.280

Paper Titles

Research on Pedestrian Crossing Characteristics and Crossing Facilities of University's Passageway
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Study on the Optimal Design of the Members of Contaniner Building with Building Materials II: Joint and Corner Column Optimization
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Study on the Optimal Design of the Members of Contaniner Building with Building Materials I: Side Board Optimization
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Analysis on Energy Conservation Materials’ Influence on Energy Saving Construction Cost
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The Study of Classification Analysis on Oil Exploration Research Trends and Digging Technology Based on Properties of Biochemical Materials (2012-2013)
p.280

Study on Application of Monte Carlo Simulation in Construction Schedule Management
p.284

An Urgent Slope Reinforcement for a Power Transmission Tower Foundation
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Influence Analysis of Ground Asymmetric Load to Existing Open Trench Tunnel Based on Soil Arching Effect
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Study on Synchronized Grouting Pressure to Segments of Shallow EPB Shield Tunnel
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 859The Study of Classification Analysis on Oil...

The Study of Classification Analysis on Oil Exploration Research Trends and Digging Technology Based on Properties of Biochemical Materials (2012-2013)

Abstract:

The study aimed at analyzing the keywords of the oil exploration research papers abstracts in 2012 and 2013 and using the random forests model to make the classification analysis in order to find the importance and similarities of 2012 and 2013 research trends. The contribution of the study included the following two points. First, the study used the text mining method in order to explore the content of oil exploration research paper abstracts. Second, the study applied the AdaBoost classification analysis to explore the relationship of the keywords between the two years’ keywords.

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Periodical:

Advanced Materials Research (Volume 859)

Pages:

280-283

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.859.280

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Online since:

December 2013

Authors:

Shiang Hau Wu, Jiann Jong Guo

Keywords:

AdaBoost Model, Classification, Oil Exploration, Text Mining

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