I thank Claire Black and Wei-Jang Huang for assistance in preparing this paper. I appreciate the comments of George Erickcek on a preliminary version of this paper. This paper was previously presented on November 20, 2009 at the 57th Annual Economic Outlook Conference of the Research Seminar in Quantitative Economics (RSQE) at the University of Michigan. I appreciate comments and questions for ...

In data mining classification is to accurately predict the target class for each case in the data. Decision tree algorithm is one of the commonly used classification algorithm to make induction learning based on examples. In this paper we present the comparison of different classification techniques using WEKA. The aim of this paper is to investigate the performance of different classification ...

Abstract In the wake of outbreak new coronavirus, countries in world have fought to combat spread infection and imposed preventive measures compel population social distancing, which led a global crisis. Important strategies must be studied identified prevent control coronavirus COVID-19 disease 2019. this paper, effect on was studied, model based supervised data mining algorithms presented bes...

Garment industrial sector is one of the most important business sectors in world. It presents lifeblood for many countries’ economy. The demanding garment merchandise accretion year over year. There are key factors affecting performance this including employee productivity. This research proposes a hybrid approach which aims to predict productivity employees by combining different classificatio...

In this paper, we propose a classification based approach to the morphological disambiguation for Turkish language. Due to complex morphology in Turkish, any word can get unlimited number of affixes resulting very large tag sets. The problem is defined as choosing one of parses of a word not taking the existing root word into consideration. We trained our model with well-known classifiers using...

Rule extraction from neural networks often focusses on exact equivalence and is often tested on relatively small canonical examples. We apply genetic algorithms to the extract approximate rules from neural networks. The method is robust and works with large networks. We compare the results with rules obtained using state of the art decision tree methods and achieve superior performance to strai...

Five classification algorithms namely J48, Naive Bayes, Multilayer Perceptron, IBK and Bayes Net are evaluated using Mc Nemar’s test over datasets including both nominal and numeric attributes. It was found that Multilayer Perceptron performed better than the two other classification methods for both nominal and numerical datasets. Furthermore, it was observed that the results of our evaluation...

Breast cancer is the second major cause of death in world. accounts for 16% all deaths worldwide. Most methods detecting breast very expensive and difficult such as mammography. The objective this research paper through blood analysis using J48 algorithm which will serve alternative to these methods.
 was used classify 116 instances also,10-fold cross validation holdout procedure were coup...

<span lang="EN-US">Dissolved gas analysis (DGA) is widely accepted as an effective method to detect incipient faults within power transformers. Gases such hydrogen, methane, acetylene, ethylene and ethane are normally utilized identify the transformer fault conditions. Several techniques have been developed interpret DGA results key method, Doernenburg, Rogers, IEC ratio-based methods, Du...

Due to the rise of technology, the possibility of fraud in different areas such as banking has been increased. Credit card fraud is a crucial problem in banking and its danger is over increasing. This paper proposes an advanced data mining method, considering both feature selection and decision cost for accuracy enhancement of credit card fraud detection. After selecting the best and most effec...