There are number of classification algorithms including decision tree, SVM, Bayesian classification, KNN, Genetic algorithm and so on. The goal of this survey paper is to provide a comprehensive review of different classification techniques in data mining.Prabhjot Kaur...
Data mining: An overview from a database perspective. Provides information on data mining techniques developed in several research communities. Classification of available databases to be mined; Requirements a... Chen,Ming-Syan,Han,... - 《IEEE Transactions on Knowledge & Data Engineering》 被引量...
Smita, M and S. Kumar, 2015.Survey on Types of Bug Reports and General Classification Techniques in Data Mining. International Journal of Computer Science and Information Technologies, 6: 1578-1583.Mishra S, Kumar S (2015) Survey on types of bug reports and general classification techniques in...
Data mining techniques extracted the hidden patterns among the data and with build the model of databases design the decision support system that in the field of decision will help to doctors. In this article, which is a review article, its purpose is to discuss on the application of data ...
Classification in data mining involves classifying a set of data instances into predefined classes. Learn more about its types and features with this blog.
In this study two categories of techniques :Statistical techniques and data mining technique ,one methods from each technique is considered for comparative study ,these are decision tree technique C5.0 and support vector machine (SVM) applied on widely used intrusion data i.e. NSL-KDD data set ...
Mining Educational Data to Predict Students' Academic Performance In this context, many researchers have been using data mining techniques to support and solve challenges in higher education. There are many challenges facing this level of education, one of which is helping students to choose the ...
Successful application of these techniques will be valuable input for decision-making during preventive maintenance scheduling. 展开 关键词: Shovels failures classification clustering data mining reliability support vector machine DOI: 10.1080/17480930.2015.1123599 年份: 2016 ...
Statistical data-mining (DM) and machine learning (ML) are promising tools to assist in the analysis of complex dataset. In recent decades, in the precision of agricultural development, plant phenomics study is crucial for high-throughput phenotypin
Utilization of Data Mining Techniques for Prediction of Diabetes Disease Survivability Detection of knowledge patterns in clinical data through data mining. Data mining algorithms can be trained from past examples in clinical data and model the frequent times non-linear relationships between the ...