Geospatial Data Ming and Knowledge Discovery Using Decision Tree Algorithm—a Case Study of Soil Data Set of the Yellow River Delta
نویسندگان
چکیده
Copyright 1999 The Association of Chinese Professionals in GIS Abroad Geoinformatics and Socioinformatics 151 Hilgard Hall, University of California, Berkeley, CA 94720-3110, USA The Proceedings of Geoinformatics'99 Conference All rights reserved. ISBN 0-9651441-3-5 Ann Arbor, 19-21 June, 1999, pp. 1-8 Printed in Ann Arbor, Michigan GEOSPATIAL DATA MING AND KNOWLEDGE DISCOVERY USING DECISION TREE ALGORITHM—A CASE STUDY OF SOIL DATA SET OF THE YELLOW RIVER DELTA
منابع مشابه
Evaluation of liquefaction potential based on CPT results using C4.5 decision tree
The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design decision trees. In this algorithm, a pruning process is carried out to solve the problem of the...
متن کاملPersonal Credit Score Prediction using Data Mining Algorithms (Case Study: Bank Customers)
Knowledge and information extraction from data is an age-old concept in scientific studies. In industrial decision-making processes, the application of this concept gives rise to data-mining opportunities. Personal credit scoring is an ever-vital tool for banking systems in order to manage and minimize the inherent risks of the financial sector, thus, the design and improvement of credit scorin...
متن کاملApplication of Different Methods of Decision Tree Algorithm for Mapping Rangeland Using Satellite Imagery (Case Study: Doviraj Catchment in Ilam Province)
Using satellite imagery for the study of Earth's resources is attended by manyresearchers. In fact, the various phenomena have different spectral response inelectromagnetic radiation. One major application of satellite data is the classification ofland cover. In recent years, a number of classification algorithms have been developed forclassification of remote sensing data. One of the most nota...
متن کاملA New Algorithm for Optimization of Fuzzy Decision Tree in Data Mining
Decision-tree algorithms provide one of the most popular methodologies for symbolic knowledge acquisition. The resulting knowledge, a symbolic decision tree along with a simple inference mechanism, has been praised for comprehensibility. The most comprehensible decision trees have been designed for perfect symbolic data. Classical crisp decision trees (DT) are widely applied to classification t...
متن کاملKnowledge discovery from patients’ behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services
The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...
متن کامل