N Krishnaveni, V Radha - Indian J Sci Technol, 2019 - sciresol.s3.us-east-2.amazonaws …
Objectives: This study summarizes the feature selection process, its importance, different types of feature selection algorithms such as Filter, Wrapper and Hybrid. Moreover, it …
M Rajab, D Wang - Journal of Information & Knowledge …, 2020 - World Scientific
Feature selection, the process of identifying relevant features to be incorporated into a proposed model, is one of the significant steps of the learning process. It removes noise from …
Identifying the relevant set of features in a dataset is an important part of data analytics. Discarding significant variables or keeping irrelevant variables has significant effects on the …
B Chizi, L Rokach, O Maimon - Encyclopedia of Data Warehousing …, 2009 - igi-global.com
Dimensionality (ie, the number of data set attributes or groups of attributes) constitutes a serious obstacle to the efficiency of most data mining algorithms (Maimon and Last, 2000) …
M Dash, H Liu - Intelligent data analysis, 1997 - Elsevier
Feature selection has been the focus of interest for quite some time and much work has been done. With the creation of huge databases and the consequent requirements for good …
F Kamalov, F Thabtah - Annals of Data Science, 2017 - Springer
One of the major aspects of any classification process is selecting the relevant set of features to be used in a classification algorithm. This initial step in data analysis is called the feature …
H Liu, X Wu, S Zhang - Proceedings of the 20th ACM international …, 2011 - dl.acm.org
One of the challenges in data mining is the dimensionality of data, which is often very high and prevalent in many domains, such as text categorization and bio-informatics. The high …
MR Feizi-Derakhshi, M Ghaemi - International conference on machine …, 2014 - iieng.org
Data mining is an inevitable step in knowledge discovery and it helps discovering hidden and useful patterns among data. These days, the number of stored attributes for each entity …
MS Srivastava, MN Joshi, M Gaur - IJCSNS, 2014 - Citeseer
Feature selection is the process of eliminating features from the data set that are irrelevant with respect to the task to be performed. Feature selection is important for many reasons …