background: length of stay is one of the most important indicators in assessing hospital performance. a shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. it can lead to a greater readmission rate, better resource management, and more efficient services. objective: this study aimed to identify the factors influencing length of ho...

background : the data related to patients often have very useful information that can help us to resolve a lot of problems and difficulties in different areas. this study was performed to present a model-based data mining to predict lung cancer in 2014. methods : in this exploratory and modeling study, information was collected by two methods: library and field methods. all gathered variables w...

In other to study the effects of salicylic acid on reproductive characters of ‘Elberta’ Peach (Prunus persica L. Batsch) tree, an experiment was carried out based on randomized complete blocks design with four replications in commercial orchard, Kerman, Iran. The application of three concentrations of salicylic acid 0 (control), 1and 2 mM at swollen bud stage were used. Results showed that appl...

In other to study the effects of salicylic acid on reproductive characters of ‘Elberta’ Peach (Prunus persica L. Batsch) tree, an experiment was carried out based on randomized complete blocks design with four replications in commercial orchard, Kerman, Iran. The application of three concentrations of salicylic acid 0 (control), 1and 2 mM at swollen bud stage were used. Results showed that appl...

Here in this paper the discovery of Vulnerabilities in the Source Codes is proposed. The Proposed Methodology applied is based on the Concept of Fuzzy Based Decision Tree. The Methodology adopted here for the Checking of Codes Vulnerabilities provides efficient discovery of Vulnerabilities and hence provides improved performance and high precision and Recall. The Proposed Methodology Audits the...

Tree ensemble or combining methods that use re-sampling technique have been highlighted recently in Statistical classification and Data mining. In this paper, we propose a new ensemble method in decision trees that utilizes systematic patterns of classification. The new method improved the prediction accuracy of a single decision tree algorithm. It is also observed that this method performs rea...

Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. Both accuracy and stability can be improved by learning multiple models from bootstrap samples of training data, but the “meta-learner” approach makes the extracted knowledge hardly interpretable. In the following paper...

In this paper, we have presented a survey on the different data mining technique of intrusion detection which is basically used for the intrusion detection purpose in the field of data mining. Today intrusion detection in data mining has gain more interest to the researches, there are many intrusion detection issues in data mining like dos attacks, R2L, U2R and probing etc. There are many algor...