The paper presents aspects regarding genetic algorithms, their use in data mining and especially about their use in the discovery of classification rules. A synthetic presentation of the fitness functions of the genetic algorithms used for mining the classification rules is performed. A genetic algorithm with a new fitness function for mining the classification rules is suggested. The proposed ...

Th e multiplicity of policies proposed to support the informal sector refl ects the lack of a common defi nition. Although they may produce positive eff ects, these are limited and fail to constitute a comprehensive strategic approach. Th e diff erent interpretations in the absence of a common defi nition as well as the strategies emerging from them are reviewed. Th e identifi cation of informa...

In medical field doctors need available information for decision making. Now day’s data mining method is applied in medical research in order to analyze large volume of medical data. This study attempts to use data mining method to analyze the database of diabetes and used for diagnosing for archiving better result. so this paper focus on analysis of diabetes data by various data mining techniq...

In this paper we present the performance analysis of different data mining techniques to predict the inpatient hospital length of stay in a super specialty hospital. Data set used for the analysis is real time data taken from super specialty hospital. Pre-processed data set is generated from the electronic discharge summaries obtained from the hospital. This data set consists of 401 records wit...

Classification is a supervised learning approach, which maps a data item into predefined classes. There are various classification algorithms proposed in the literature. In this paper authors have used four classification algorithms such as J48, Random Forest (RF), Reduce Error Pruning (REP) and Logistic Model Tree (LMT) to classify the "WEATHER NOMINAL" open source Data Set. Waikato ...

Misfire in an IC Engine continues to be a problem leading to reduced fuel efficiency, increased power loss and emissions containing heavy concentration of hydrocarbons. Misfiring creates a unique vibration pattern attributed to a particular cylinder. Useful features can be extracted from these patterns and can be analyzed to detect misfire. Statistical features from these vibration signals were...

In the present study, the abilities of three classification methods of data mining namely artificial neural networks with feed-forward back propagation algorithm, J48 decision tree method and logistic regression analysis are compared in a medical real dataset. The prediction of malignancy in suspected thyroid tumour patients is the objective of the study. The accuracy of the correct predictions...

Soil nutrient is the important factor to decide which crops suitable grow in that particular region. Data mining used solve various problems agricultural sector. fertile identified by analyzing availability of soil nutrients level crop and also it useful find deficiency nutrients, finding Nutrients will help farmer deficiency, based on range are recommended cultivate soil. This research work fo...