Yıl 2018, Cilt 6, Sayı 2, Sayfalar 44 - 49 2018-04-29

Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database

Fahriye Gemci Furat [1] , Turgay Ibrikci [2]

56 47

There are samples both with Down Syndrome and without in mice protein expression data set. It is important to define the reason of Down Syndrome treatment by means of mice protein for the same treatment seem human being. In the present study, mice protein expression data set from UCI repository are classified using Bayesian Network algorithm, K- Nearest Neighbor, Decision Table, Random Forest and Support Vector Machine which are some of classification methods.  The classification algorithms with 10-fold cross validation and by splitting equally as test and train data are tested to classify on the mice protein data set. The classification of the data set was succeeded with 94.3519% accuracy in 0.06 seconds using Bayesian Network, with 99.2593% accuracy in 0.01 seconds using KNN, with 95.4630 % accuracy in 1.2 seconds using Decision Table, with 100% accuracy in 0.58 seconds using Random Forest and with 100% accuracy in 1.17 seconds using SVM, with 10-fold cross validation. On the other hand, the classification of the data set was succeeded with 95.3704% accuracy in 0.22 seconds using Bayesian Network, with 98.3333% accuracy in 0 seconds using KNN, with 98.3333% accuracy in 0.72 seconds using Decision Table, with 100% accuracy in 0.77 seconds using Random Forest and with 100% accuracy in 1.48 seconds using SVM, by equally train-test data partition.

Bayesian Network, KNN, Decision Table, Random Forest, SVM, Classification, MongoDB, NoSQL
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Birincil Dil en
Konular Mühendislik ve Temel Bilimler
Dergi Bölümü Araştırma Makalesi
Yazarlar

Yazar: Fahriye Gemci Furat

Yazar: Turgay Ibrikci

Bibtex @araştırma makalesi { bajece419553, journal = {Balkan Journal of Electrical and Computer Engineering}, issn = {2147-284X}, address = {Balkan Yayın}, year = {2018}, volume = {6}, pages = {44 - 49}, doi = {10.17694/bajece.419553}, title = {Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database}, key = {cite}, author = {Ibrikci, Turgay and Furat, Fahriye Gemci} }
APA Furat, F , Ibrikci, T . (2018). Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database. Balkan Journal of Electrical and Computer Engineering, 6 (2), 44-49. DOI: 10.17694/bajece.419553
MLA Furat, F , Ibrikci, T . "Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database". Balkan Journal of Electrical and Computer Engineering 6 (2018): 44-49 <http://dergipark.gov.tr/bajece/issue/36835/419553>
Chicago Furat, F , Ibrikci, T . "Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database". Balkan Journal of Electrical and Computer Engineering 6 (2018): 44-49
RIS TY - JOUR T1 - Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database AU - Fahriye Gemci Furat , Turgay Ibrikci Y1 - 2018 PY - 2018 N1 - doi: 10.17694/bajece.419553 DO - 10.17694/bajece.419553 T2 - Balkan Journal of Electrical and Computer Engineering JF - Journal JO - JOR SP - 44 EP - 49 VL - 6 IS - 2 SN - 2147-284X- M3 - doi: 10.17694/bajece.419553 UR - http://dx.doi.org/10.17694/bajece.419553 Y2 - 2017 ER -
EndNote %0 Balkan Journal of Electrical and Computer Engineering Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database %A Fahriye Gemci Furat , Turgay Ibrikci %T Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database %D 2018 %J Balkan Journal of Electrical and Computer Engineering %P 2147-284X- %V 6 %N 2 %R doi: 10.17694/bajece.419553 %U 10.17694/bajece.419553
ISNAD Furat, Fahriye Gemci , Ibrikci, Turgay . "Classification of Down Syndrome of Mice Protein Dataset on MongoDB Database". Balkan Journal of Electrical and Computer Engineering 6 / 2 (Nisan 2018): 44-49. http://dx.doi.org/10.17694/bajece.419553