This paper introduces the speech emotion corpus, a multilingual speech emotion database recorded in the provincial languages of Pakistan: Urdu, Punjabi, Pashto and Sindhi for analyzing the speech emotions present in the recorded speech signals with the four different emotions (Anger, Sadness, Comfort and Happiness). The objective of this paper is to evaluate the performance of the learning clas...

In today’s world, gigantic amount of data is available in science, industry, business and many other areas. This data can provide valuable information which can be used by management for making important decisions. But problem is that how can find valuable information. The answer is data mining. Data Mining is popular topic among researchers. There is lot of work that cannot be explored till no...

Clustering and classification are two important techniques of data mining. Classification is a supervised learning problem of assigning an object to one of several pre-defined categories based upon the attributes of the object. While, clustering is an unsupervised learning problem that group objects based upon distance or similarity. Each group is known as a cluster. In this paper we make use o...

Software repositories with defect logs are main resource for defect prediction. In recent years, researchers have used the vast amount of data that is contained by software repositories to predict the location of defect in the code that caused problem. In this paper machine learning approach is used for predicting the modules with defect for embedded data set. Public datasets from the promise r...

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...