In this study, it is aimed that comparing logistic regression model with classification tree method in determining social-demographic risk factors which have effected depression status of 1447 women in separate postpartum periods. In determination of risk factors, data obtained from prevalence study of postpartum depression were used. Cut-off value of postpartum depression scores that calculate...

Current tree species classification algorithms often use high-resolution satellite data and are in many cases based on forest stands. The spectral bands of the sensors used for data acquisition are given and cannot be chosen regarding the needs of tree species classification. Furthermore distinction is often limited to deciduous trees, coniferous trees and other land use classes. Single tree ba...

In this paper we show how knowledge from the medical domain can be incorporated in classification in a way that improves the transparency of classification (the ‘why’), and makes the classification less dependent on both the particular data set used for training and on peculiarities of the classification algorithm. We compare a decision tree incorporating a domain model with a tree built direct...

Classification is an important problem in the emerging field of data mining. Although classification has been studied extensively in the past, most of the classification algorithms are designed only for memory-resident data, thus limiting their suitability for data mining large data sets. This paper discusses issues in building a scalable classifier and presents the design of SLIQ’ , a new clas...

Background: Fertility is one of the important subjects in public health and demographic studies which affects population growth. The main objective of this paper was to introduce and apply a tree model to classify the ideal number of children and children ever born in the study of "Marriage and Fertility Attitudes of Married 15-49 Years Old Women in Semnan Province in Iran, 2012". Methods: Cla...

Problem statement: The problem of the computer attack system has recently been much studied to improve the evaluation process of the Intrusion Detection Systems (IDS). Approach: This study aimed at presenting the principal attacks classifications; especially, the study of classification towards the evaluation for which we suggested some improvements that may allow the generation of a test cases...

Hierarchical text classification refers to assigning text documents to the categories in a given category tree based on their content. With large number of categories organized as a tree, hierarchical text classification helps users to find information more quickly and accurately. Nevertheless, hierarchical text classification methods in the past have often been constructed in a proprietary man...

This work is on decision tree-based classification for the disbursement of scholarship. Tree-based data mining classification technique is used in other to determine the generic rule to be used to disburse the scholarship. The system based on the defined rules from the tree is able to determine the class (status) to which an applicant shall belong whether Granted or Not Granted. The applicants ...