Yıl 2018, Cilt 6, Sayı 2, Sayfalar 105 - 111 2018-04-30
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## A Distributed K Nearest Neighbor Classifier for Big Data

#### Tamer Tulgar [1] , Ali Haydar [2] , İbrahim Erşan [3]

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The K-Nearest Neighbor classifier is a well-known and widely applied method in data mining applications. Nevertheless, its high computation and memory usage cost makes the classical K-NN not feasible for today’s Big Data analysis applications. To overcome the cost drawbacks of the known data mining methods, several distributed environment alternatives have emerged. Among these alternatives, Hadoop MapReduce distributed ecosystem attracted significant attention. Recently, several K-NN based classification algorithms have been proposed which are distributed methods tested in Hadoop environment and suitable for emerging data analysis needs. In this work, a new distributed Z-KNN algorithm is proposed, which improves the classification accuracy performance of the well-known K-Nearest Neighbor (K-NN) algorithm by benefiting from the representativeness relationship of the instances belonging to different data classes. The proposed algorithm relies on the data class representations derived from the Z data instances from each class, which are the closest to the test instance. The Z-KNN algorithm was tested in a physical Hadoop Cluster using several real-datasets belonging to different application areas. The performance results acquired after extensive experiments are presented in this paper and they prove that the proposed Z-KNN algorithm is a competitive alternative to other studies recently proposed in the literature

Big Data Classification, Hadoop, K-Nearest Neighbor, MapReduce.
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Birincil Dil en Mühendislik Araştırma Makalesi Yazar: Tamer Tulgar Yazar: Ali Haydar Yazar: İbrahim Erşan
 Bibtex @araştırma makalesi { bajece419551, journal = {Balkan Journal of Electrical and Computer Engineering}, issn = {2147-284X}, address = {Balkan Yayın}, year = {2018}, volume = {6}, pages = {105 - 111}, doi = {10.17694/bajece.419551}, title = {A Distributed K Nearest Neighbor Classifier for Big Data}, key = {cite}, author = {Erşan, İbrahim and Tulgar, Tamer and Haydar, Ali} } APA Tulgar, T , Haydar, A , Erşan, İ . (2018). A Distributed K Nearest Neighbor Classifier for Big Data. Balkan Journal of Electrical and Computer Engineering, 6 (2), 105-111. DOI: 10.17694/bajece.419551 MLA Tulgar, T , Haydar, A , Erşan, İ . "A Distributed K Nearest Neighbor Classifier for Big Data". Balkan Journal of Electrical and Computer Engineering 6 (2018): 105-111 Chicago Tulgar, T , Haydar, A , Erşan, İ . "A Distributed K Nearest Neighbor Classifier for Big Data". Balkan Journal of Electrical and Computer Engineering 6 (2018): 105-111 RIS TY - JOUR T1 - A Distributed K Nearest Neighbor Classifier for Big Data AU - Tamer Tulgar , Ali Haydar , İbrahim Erşan Y1 - 2018 PY - 2018 N1 - doi: 10.17694/bajece.419551 DO - 10.17694/bajece.419551 T2 - Balkan Journal of Electrical and Computer Engineering JF - Journal JO - JOR SP - 105 EP - 111 VL - 6 IS - 2 SN - 2147-284X- M3 - doi: 10.17694/bajece.419551 UR - http://dx.doi.org/10.17694/bajece.419551 Y2 - 2017 ER - EndNote %0 Balkan Journal of Electrical and Computer Engineering A Distributed K Nearest Neighbor Classifier for Big Data %A Tamer Tulgar , Ali Haydar , İbrahim Erşan %T A Distributed K Nearest Neighbor Classifier for Big Data %D 2018 %J Balkan Journal of Electrical and Computer Engineering %P 2147-284X- %V 6 %N 2 %R doi: 10.17694/bajece.419551 %U 10.17694/bajece.419551 ISNAD Tulgar, Tamer , Haydar, Ali , Erşan, İbrahim . "A Distributed K Nearest Neighbor Classifier for Big Data". Balkan Journal of Electrical and Computer Engineering 6 / 2 (Nisan 2018): 105-111. http://dx.doi.org/10.17694/bajece.419551