نتایج جستجو برای: m5 decision tree
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در این مطالعه، به منظور محاسبه گسترش جانبی خاک، مدلی آماری بر مبنای الگوریتم رگرسیون غیر خطی (nonlinear regression) تولید شده است که قابلیت پیش بینی دقیق ابعاد این پدیده را دارا می باشد. در این مدل (nlr-2012) داده های پایگاه داده برمبنای پارامتر شیبشان به دو دسته داده های با شیب بزرگتر از 1% و دادههای با شیب بیش از 1% تقسیم می شوند. همچنین مدلی مکمل بر مبنای الگوریتم درخت تصمیم(decision tree al...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
results overall, the prevalence of unwanted pregnancies was 32.3%. the performance of the models based on the area under the roc curve as the indicator was as follows: artificial neural networks (0.741), decision tree (0.731), and logistic regression (0.712). the highest sensitivity level belonged to the decision tree (73.5%), and the highest specificity level belonged to the artificial neural ...
One of the significant problems of banks and investors in Iran is the lack of precise awareness about the financial performance of each bank and the roadmap for improving the conditions. Besides, the undesirable status of the financial performance of banks becomes evident only when the improvement of conditions is complicated. In this paper, a data mining-based early warning system (EWS) model ...
A synthetic peptide modeled after the calmodulin (CaM)-binding domain of rabbit skeletal muscle myosin light chain kinase, Lys-Arg-Arg-Trp-Lys5-Lys-Asn-Phe-Ile-Ala10-Val-Ser-Ala-Ala-+ ++Asn15-Arg-Phe-Glycyl amide (M5), inhibited the CaM-independent chymotryptic fragment of the enzyme, C35 (Edelman, A. M., Takio, K., Blumenthal, D. K., Hansen, R. S., Walsh, K. A., Titani, K., and Krebs, E. G. (1...
Nitrogen is produced mainly from its most abundant source, the air, using three processes: membrane, pressure swing adsorption (PSA) and cryogenic. The most common method for evaluating a process is using the selection diagrams based on feasibility studies. Since the selection diagrams are presented by different companies, they are biased, and provide unsimilar and even controversial results. I...
Introduction: Attention-Deficit/Hyperactivity Disorder (ADHD) is a well-known neurodevelopmental disorder. Diagnosis and treatment of ADHD can often lead to a developmental trajectory toward positive results. The present study aimed at implementing the decision tree method to recognize children with and without ADHD, as well as ADHD subtypes. Methods: In the present study, the subjects includ...
To avoid checking unnecessary or irrelevant conditions of rules, the irrelevant values problem of the decision tree is addressed. We propose an algorithm to remove irrelevant conditions of rules in the process of converting the decision tree to rules according to the semantics of the decision tree. Since our algorithm depends only on the semantics of the decision tree, our algorithm can be inte...
__________________________________________________________________________________________ Abstract: Data mining is method of maintaining a large amount of data stored in the database. Decision tree is a technique of data mining which classify the data and produces valuable results. These results are used in analysis and future prediction. The prime objective of this research work is to present...
The near horizon limits of M2 and D3 branes probing special holonomy cones give rise to supersymmetric AdS4 × M7 and AdS5 × M5 solutions of D = 11 and type IIB supergravity, respectively, where M7 and M5 are special types of Einstein spaces. Here we will show the existence of consistent Kaluza-Klein truncations of D = 11 and type IIB supergravity on such M7 and M5 down to matter-coupled supergr...
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