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...
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 is a part of knowledge discovery proces s and information industry due to the vast availabi lity of large amounts of data. The data mining is one co mprehensive application of technology item relying on the statistical analysis, artificial intelligence and i t has shown great commer...
Classification in data mining involves classifying a set of data instances into predefined classes. Learn more about its types and features with this blog.
Text Classification and Distributional features techniques in Datamining and WarehousingComputer Science - Information RetrievalText Categorization is traditionally done by using the term frequency and inverse document frequency.This type of method is not very good because, some words which are not so ...
A.ShameemFathima ,D.Manimegalai and NisarHundewale, "A Review of Data Mining Classification Techniques Applied for Diagnosis and Prognosis of the Arbovirus-Dengue", International Journal of Computer Science Issues, Vol. 8, Issue 6, No 3, November 2011, ISSN (Online): 1694-0814....
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 ...
Classification has been widely studied in areas such as, machine learning and data mining [1], [2] and has received special attention of soft-computing techniques such as fuzzy logic [3], [4], neural networks [5], [6], [7], and evolutionary algorithms [8], [9], [10]. In particul...
data. Data mining techniques can provide a solution in these situations. For this purpose, several data mining methods can be used. Thus, the aim of the current drive is to find out the class of fetal state of cardiotocograms from the collected patient dataset with the help of mining ...
According to the two objective mentioned above, the majority of work reported in the literature address the problem using one of the two techniques. The adaptation of ensemble learning methods to disjoint data sets, in the context of mining inherently distributed data and the parallelization of ...