Seçkin Karasu

Dr. Seçkin Karasu

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2021 in Applied Soft Computing
Verified
Journal Article
Closed access
AAAytaç Altan
Aytaç Altan
Seçkin KarasuSeçkin Karasu
Seçkin Karasu
EZEnrico Zio
Enrico Zio

1 December 2020 in Energy
Verified
Journal Article
Closed access
Seçkin KarasuSeçkin Karasu
Seçkin Karasu
AAAytaç Altan
Aytaç Altan
Stelios BekirosStelios Bekiros
Stelios Bekiros
WAWasim Ahmad
Wasim Ahmad

1 September 2019 in Chaos, Solitons & Fractals
Verified
Journal Article
Closed access
Aytaç AltanAytaç Altan
Aytaç Altan
Seçkin KarasuSeçkin Karasu
Seçkin Karasu
Stelios BekirosStelios Bekiros
Stelios Bekiros



1 May 2018
Verified
Conference Paper
Closed access
Seçkin KarasuSeçkin Karasu
Seçkin Karasu
AAAytaç Altan
Aytaç Altan
ZSZehra Saraç
Zehra Saraç
RHRıfat Hacıoğlu
Rıfat Hacıoğlu
In this study, Bitcoin prediction is performed with Linear Regression (LR) and Support Vector Machine (SVM) from machine learning methods by using time series consisting of daily Bitcoin closing prices between 2012-2018. The prediction model with include the least error is obtained by testing with different parameter combinations such as SVM with including linear and polynomial kernel functions. Filters with different weight coefficients are used for different window lengths. For different window lengths, Bitcoin price prediction is made using filters with different weight coefficients. 10-fold cross-validation method in training phase is used in order to construct a model with high performance independent of the data set. The performance of the obtained model is measured by means of statistical indicators such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Pearson Correlation. It is seen that the price prediction performance of the proposed SVM model for Bitcoin data set is higher than that of the LR model.