FSS-DKM: A Hybird Big Data Clustering approach using feature subset selection and distance based k-means algorithm

D. Anitha;  ; M.V. Srinath;

doi:10.20894/stet.116.009.003.009

FSS-DKM: A Hybird Big Data Clustering approach using feature subset selection and distance based k-means algorithm

Scientific Transactions in Enviornment and Technovation ◽

10.20894/stet.116.009.003.009 ◽

2016 ◽

Vol 9 (3) ◽

pp. 161-165

Author(s):

D. Anitha ◽

◽

M.V. Srinath ◽

Keyword(s):

Big Data ◽

Data Clustering ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Clustering Approach

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Optimal feature subset selection in high dimensional data clustering

International Journal of Business Intelligence and Data Mining ◽

10.1504/ijbidm.2016.081866 ◽

2016 ◽

Vol 11 (3) ◽

pp. 242 ◽

Cited By ~ 2

Author(s):

Kasturi Chandrahaasan Sharmili ◽

Arul Gnanaprakasaam Chilambuchelvan

Keyword(s):

Data Clustering ◽

High Dimensional Data ◽

Subset Selection ◽

Feature Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Optimal Feature Subset ◽

Optimal Feature

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Optimal Feature Subset Selection in High Dimensional Data Clustering

International Journal of Business Intelligence and Data Mining ◽

10.1504/ijbidm.2016.10002432 ◽

2016 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

K.C. Sharmili ◽

Arul Gnanaprakasaam Chilambuchelvan

Keyword(s):

Data Clustering ◽

High Dimensional Data ◽

Subset Selection ◽

Feature Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Optimal Feature Subset ◽

Optimal Feature

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AN ENSEMBLE OF FEATURE SUBSET SELECTION WITH DEEP BELIEF NETWORK BASED SECURE INTRUSION DETECTION IN BIG DATA ENVIRONMENT

Indian Journal of Computer Science and Engineering ◽

10.21817/indjcse/2021/v12i2/211202101 ◽

2021 ◽

Vol 12 (2) ◽

pp. 409-420

Author(s):

Gurrampally Kumar ◽

S. Mohan Dr. ◽

A.Nagesh Dr.

Keyword(s):

Big Data ◽

Intrusion Detection ◽

Subset Selection ◽

Deep Belief Network ◽

Feature Subset Selection ◽

Feature Subset ◽

Belief Network ◽

Data Environment

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Empirical evaluation of feature subset selection based on a real-world data set

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2004.03.005 ◽

2004 ◽

Vol 17 (3) ◽

pp. 285-288 ◽

Cited By ~ 5

Author(s):

Petra Perner ◽

Chid Apte

Keyword(s):

Real World ◽

Empirical Evaluation ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Real World Data ◽

Data Set ◽

World Data

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Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks

Applied Soft Computing ◽

10.1016/j.asoc.2007.12.003 ◽

2008 ◽

Vol 8 (4) ◽

pp. 1539-1548 ◽

Cited By ~ 67

Author(s):

V. Ravi ◽

C. Pramodh

Keyword(s):

Neural Network ◽

Subset Selection ◽

Principal Component ◽

Bankruptcy Prediction ◽

Feature Subset Selection ◽

Feature Subset ◽

Threshold Accepting

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Interaction between feature subset selection techniques and machine learning classifiers for detecting unsolicited emails

ACM SIGAPP Applied Computing Review ◽

10.1145/2600617.2600622 ◽

2014 ◽

Vol 14 (1) ◽

pp. 53-61 ◽

Cited By ~ 15

Author(s):

Shrawan Kumar Trivedi ◽

Shubhamoy Dey

Keyword(s):

Machine Learning ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Machine Learning Classifiers ◽

Learning Classifiers

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An intelligent hybrid feature subset selection and production pattern recognition method for modeling steam cracking process

Journal of Analytical and Applied Pyrolysis ◽

10.1016/j.jaap.2021.105352 ◽

2021 ◽

pp. 105352

Author(s):

Qing Li ◽

Mengxuan Zhang ◽

Xiaogang Shi ◽

Xingying Lan ◽

Xuqiang Guo ◽

...

Keyword(s):

Pattern Recognition ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Pattern Recognition Method ◽

Recognition Method ◽

Steam Cracking ◽

Production Pattern ◽

Cracking Process

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A New Approach for Feature Subset Selection using Quantum Inspired Owl Search Algorithm

2020 10th International Conference on Information Science and Technology (ICIST) ◽

10.1109/icist49303.2020.9202140 ◽

2020 ◽

Author(s):

Ashis Kumar Mandal ◽

Rikta Sen ◽

Saptarsi Goswami ◽

Amlan Chakrabarti ◽

Basabi Chakraborty

Keyword(s):

Search Algorithm ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

New Approach

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Cascading GA & CFS for Feature Subset selection in Medical Data Mining

2009 IEEE International Advance Computing Conference ◽

10.1109/iadcc.2009.4809226 ◽

2009 ◽

Cited By ~ 11

Author(s):

Asha Gowda Karegowda ◽

M.A. Jayaram

Keyword(s):

Data Mining ◽

Subset Selection ◽

Medical Data ◽

Feature Subset Selection ◽

Feature Subset ◽

Medical Data Mining

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Acceleration of Feature Subset Selection Using CUDA

2018 14th International Conference on Computational Intelligence and Security (CIS) ◽

10.1109/cis2018.2018.00038 ◽

2018 ◽

Cited By ~ 1

Author(s):

Jun Yang ◽

Siyuan Jing

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset

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