Decision-Tree-based data mining and rule induction for predicting and mapping soil bacterial diversity

Author： Kim Kangsuk   Yoo Keunje   Ki Dongwon   Son Il   Oh Kyong   Park Joonhong  

Publisher： Springer Publishing Company

ISSN： 0167-6369

Source： Environmental Monitoring and Assessment, Vol.178, Iss.1-4, 2011-07, pp. : 595-610

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Data Mining Application using Association Rule Mining ECLAT Algorithm Based on SPMF

By  

MATEC Web of conference, Vol. 164, Iss. issue, 2018-04 ,pp. : 01019-01019

Edp Sciences

Access to resources Recommend Favorite

Application of Remote-sensing Data and Decision-Tree Analysis to Mapping Salt-Affected Soils over Large Areas

By Elnaggar Abdelhamid A.   Noller Jay S.  

Remote Sensing, Vol. 2, Iss. 1, 2009-12 ,pp. : 151-165

MDPI

Access to resources Recommend Favorite

Bacterial diversity is positively correlated with soil heterogeneity

By  

Ecosphere, Vol. 9, Iss. 1, 2018-01 ,pp. : n/a-n/a

John Wiley & Sons Inc

Access to resources Recommend Favorite

PREDICTING THE TIME OF TREE DEATH USING DENDROCHRONOLOGICAL DATA

By  

Ecological Applications, Vol. 14, Iss. 3, 2004-06 ,pp. : 902-914

John Wiley & Sons Inc

Access to resources Recommend Favorite

A Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra

By Gholizadeh Asa   Borůvka Luboš   Saberioon Mohammadmehdi   Vašát Radim  

Remote Sensing, Vol. 8, Iss. 4, 2016-04 ,pp. : 341-341

MDPI

Access to resources Recommend Favorite