Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi

Goksu Tuysuzoglu; Yusuf Yaslan

doi:10.1109/SIU.2017.7960347

Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi

Translated title of the contribution: Biomedical data classification using supervised classifiers and ensemble based dictionaries

Goksu Tuysuzoglu^*, Yusuf Yaslan

^*Corresponding author for this work

Department of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Nowadays, along with the development of information technologies, storage and analysis of biomedical datasets are easy in health sector. In this area, Machine Learning methods provide a great contribution for evaluation and interpretation of data. In this paper, in addition to Support Vector Machines, Decision Tree, K-Nearest Neighbors, Naive Bayes and Dictionary Learning methods, Random Feature Subspaces (RDL) and Random Instance Subspaces (BDL) methods which are the ensembles of Dictionary Learning are used in biomedical data classification. In the test results, SVM and Dictionary Learning methods, RDL and BDL, which are generated using random feature/instance subspaces achieve optimum accuracy results.

Translated title of the contribution	Biomedical data classification using supervised classifiers and ensemble based dictionaries
Original language	Turkish
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960347
Publication status	Published - 27 Jun 2017
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017

Publication series

Name	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	15/05/17 → 18/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Access to Document

10.1109/SIU.2017.7960347

Cite this

Tuysuzoglu, G., & Yaslan, Y. (2017). Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Article 7960347 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960347

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abstract = "Nowadays, along with the development of information technologies, storage and analysis of biomedical datasets are easy in health sector. In this area, Machine Learning methods provide a great contribution for evaluation and interpretation of data. In this paper, in addition to Support Vector Machines, Decision Tree, K-Nearest Neighbors, Naive Bayes and Dictionary Learning methods, Random Feature Subspaces (RDL) and Random Instance Subspaces (BDL) methods which are the ensembles of Dictionary Learning are used in biomedical data classification. In the test results, SVM and Dictionary Learning methods, RDL and BDL, which are generated using random feature/instance subspaces achieve optimum accuracy results.",

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Tuysuzoglu, G & Yaslan, Y 2017, Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960347, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15/05/17. https://doi.org/10.1109/SIU.2017.7960347

Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi. / Tuysuzoglu, Goksu; Yaslan, Yusuf.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960347 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi

AU - Tuysuzoglu, Goksu

AU - Yaslan, Yusuf

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Nowadays, along with the development of information technologies, storage and analysis of biomedical datasets are easy in health sector. In this area, Machine Learning methods provide a great contribution for evaluation and interpretation of data. In this paper, in addition to Support Vector Machines, Decision Tree, K-Nearest Neighbors, Naive Bayes and Dictionary Learning methods, Random Feature Subspaces (RDL) and Random Instance Subspaces (BDL) methods which are the ensembles of Dictionary Learning are used in biomedical data classification. In the test results, SVM and Dictionary Learning methods, RDL and BDL, which are generated using random feature/instance subspaces achieve optimum accuracy results.

AB - Nowadays, along with the development of information technologies, storage and analysis of biomedical datasets are easy in health sector. In this area, Machine Learning methods provide a great contribution for evaluation and interpretation of data. In this paper, in addition to Support Vector Machines, Decision Tree, K-Nearest Neighbors, Naive Bayes and Dictionary Learning methods, Random Feature Subspaces (RDL) and Random Instance Subspaces (BDL) methods which are the ensembles of Dictionary Learning are used in biomedical data classification. In the test results, SVM and Dictionary Learning methods, RDL and BDL, which are generated using random feature/instance subspaces achieve optimum accuracy results.

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KW - classification algorithms

KW - classifier ensemble

KW - dictionary learning

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M3 - Konferans katkısı

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T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Tuysuzoglu G, Yaslan Y. Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7960347. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). doi: 10.1109/SIU.2017.7960347

Gözetimli Siniflandiricilar ve Topluluk Temelli Sözlükler ile Biyomedikal Veri Siniflandirilmasi

Abstract

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