Schema-summarization in linked-data-based feature selection for recommender systems

Proceedings of the Symposium on Applied Computing - SAC '17 ◽

10.1145/3019612.3019837 ◽

2017 ◽

Author(s):

Azzurra Ragone ◽

Paolo Tomeo ◽

Corrado Magarelli ◽

Tommaso Di Noia ◽

Matteo Palmonari ◽

...

Keyword(s):

Feature Selection ◽

Recommender Systems ◽

Linked Data ◽

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An effective approach of feature selection for recommender systems using fuzzy C means clustering along with ant colony optimization and neural networks

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) ◽

10.1109/icccnt.2017.8203914 ◽

2017 ◽

Author(s):

Hitesh Hasija

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Ant Colony Optimization ◽

Recommender Systems ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

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Unsupervised feature selection for linked data

International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014) ◽

10.1109/icraie.2014.6909131 ◽

2014 ◽

Author(s):

Rachana T. Nemade ◽

Richa Makhijani

Keyword(s):

Feature Selection ◽

Linked Data ◽

Unsupervised Feature Selection ◽

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FEATURE SELECTION FOR THE DETECTION OF EPILEPSY BY USING EEG PHYSIOLOGICAL SIGNAL

i-manager’s Journal on Pattern Recognition ◽

10.26634/jpr.4.2.13727 ◽

2017 ◽

Vol 4 (2) ◽

pp. 17

Author(s):

CHANDANI MANISHA ◽

KUMAR ARUN ◽

◽

Keyword(s):

Feature Selection ◽

Physiological Signal ◽

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Chicken Algorithm Based Feature Selection For Arabic Information Searching System

10.36458/1253-000-033-015 ◽

2019 ◽

pp. 389

Author(s):

زينب عبدالأمير ◽

علياء كريم عبدالحسن

Keyword(s):

Feature Selection ◽

Information Searching ◽

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

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An MRMR with mean score feature selection for ovarian cancer classification using joint analysis

International Journal of Pharma and Bio Sciences ◽

10.22376/ijpbs.2017.8.2.b495-504 ◽

2017 ◽

Vol 8 (2) ◽

Author(s):

M.ANI DHA ◽

DR.K.PREMA LATHA

Keyword(s):

Ovarian Cancer ◽

Feature Selection ◽

Cancer Classification ◽

Joint Analysis ◽

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Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection

2019 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/iccnc.2019.8685636 ◽

2019 ◽

Author(s):

Fadi Salo ◽

MohammadNoor Injadat ◽

Abdallah Moubayed ◽

Ali Bou Nassif ◽

Aleksander Essex

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

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Feature selection for off-line recognition of different size signatures

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing ◽

10.1109/nnsp.2002.1030047 ◽

2003 ◽

Author(s):

G.D.D.C. Cavalcanti ◽

R.C. Doria ◽

E.Cde.B.C. Filho

Keyword(s):

Feature Selection ◽

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Fault Feature Selection for Distribution Network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1881/2/022080 ◽

2021 ◽

Vol 1881 (2) ◽

pp. 022080

Author(s):

Zhiqiang Wu ◽

Lizong Zhang ◽

Gang Yu ◽

Ying Wang ◽

Tao Huang ◽

...

Keyword(s):

Feature Selection ◽

Distribution Network ◽

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Feature Selection for Classification using Principal Component Analysis and Information Gain

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114765 ◽

2021 ◽

Vol 174 ◽

pp. 114765 ◽

Author(s):

Erick Odhiambo Omuya ◽

George Onyango Okeyo ◽

Michael Waema Kimwele

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Information Gain ◽

Principal Component ◽

Component Analysis ◽

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