The bank conducts an analysis or survey in the credit system to determine whether customer is eligible receive credit. With a case study of Bank BJB debtor data December 2021, classification was carried out by forming model using Naïve Bayes Classifier and Decision Tree J48. Thus it expected minimize occurrence bad loans. are divided into several categories: debtors with good, substandard, doub...

The rapid development of technology reveals several safety concerns for making life more straightforward. advance the Internet over years has increased number attacks on Internet. IDS is one supporting layer data protection. Intrusion Detection Systems (IDS) offer a healthy market climate and prevent misgivings in network. Recently, been used to recognize distinguish risks using Machine Learnin...

Data Mining is taking out of hidden patterns from huge database. It is commonly used in a marketing, surveillance, fraud detection and scientific discovery. In data mining, machine learning is mainly focused as research which is automatically learnt to recognize complex patterns and make intelligent decisions based on data. Nowadays traffic accidents are the major causes of death and injuries i...

A study was made in those region that expose major area of machine learning techniques which available in data mining. There are lots of Research work is analysized in agriculture field. It is a smart techniques is needed to find the resolution over the modern method. Cotton is an significant beneficial harvest and extensively traded commodity across the world. Its yield is insightful to weathe...

This research work deals with efficient data mining procedure for predicting the diabetes from medical records of patients. Diabetes is a very common disease these days in all populations and in all age groups. Diabetes contributes to heart disease, increases the risks of developing kidney disease, nerve damage, blood vessel damage and blindness. So mining the diabetes data in efficient manner ...

The rate of injury and death from traffic accidents during the New Year Songkran Festival each year has high are continuously on increase. researchers, therefore, decided to study develop a model for predicting road accident risk holiday season with ensemble learning based decision tree approach. aim is help reduce loss life caused by accidents. dataset used in this research resulting data long...

Text mining is a rapidly growing field in computer science that used to extract meaningful information from text data. This can be for various applications, such as categorizing research abstracts based on their content. study focuses the use of techniques. The goal was determine which algorithm more accurate abstracts. results indicated J48 outperformed K-Means terms accuracy. suggests effecti...

Data mining involves the systematic analysis of large data sets , and data mining in agricultural soil datasets is exciting and modern research area. The productive capacity of a soil depends on soil fertility. Achieving and maintaining appropriate levels of soil fertility, is of utmost importance if agricultural land is to remain capable of nourishing crop production. In this research, Steps f...