However, evaluating shares and calculating rudimentary qualities for organizations for long term investment is troublesome. In this paper surveyed on stock market prediction techniques in data mining process.doi:10.5281/IJCSET.V6I8.131P. DineshkumarB. Subramani...
The main aim of this work is to perform a survey on the supervised learning and unsupervised learning techniques that has been applied towards criminal identification. This paper presents the survey on the Crime analysis and crime prediction using several Data Mining techniques. 展开 ...
Application of data mining techniques in weather prediction and climate change studies. International Journal of Information Engineering and Electronic Business, 1, 51-59.Adesesan Barnbas Adeyemo, "Application of Data Mining Techniques in Weather Prediction and Climate Change Studies", DOI: 10.5815/...
The health care industries collect huge amounts of data that contain some hidden information, which is useful for making effective decisions. For providing appropriate results and making effective decisions on data, some advanced data mining techniques are used. In this study, an effective heart dise...
Data Mining has wide applicability due to wide ease of use of large amount of data and requirement of storage as per the need. Data mining techniques are widely useful in educational data mining for analysis of student data. The different data mining techniques such as classification, clustering...
When the data about heart disease is huge, machine learning techniques can be implemented for the analysis. Data Mining is the task of extracting the ... RP Allu,SR Thota 被引量: 0发表: 2021年 Placement Chance Prediction using Classifiers Data Mining in education is an area where in a com...
In Abu Dhabi, in 2014, 971 traffic accidents were recorded, which contributed to 121 fatalities and 135 severe injuries. Several factors contribute to injury severity, including driver-related factors, road-related factors, and accident-related factors. In this article, data-mining techniques were ...
The scope of this work extends beyond the IT domain and a similar procedurecan be adopted to develop a recruitment framework in other fields as well. Data-mining techniques provideuseful information from the historical projects depending on which the hiring-manager can make decisionsfor recruiting ...
Advanced data mining techniques can help remedy this situation. This research has developed a prototype Intelligent Heart Disease Prediction System (IHDPS) using data mining techniques, namely, Decision Trees, Naive Bayes and Neural Network. Results show that each technique has its unique strength in...
Therefore, an attempt is being made to predict the stock market based on the given data set of stock market along with some features; using the techniques available for predictive data mining. Machine learning is one of the upcoming trends of data mining; hence few machine learning algorithms ...