TY - GEN
T1 - SNN Input Parameters
T2 - 19th IEEE International Conference on Parallel and Distributed Systems (ICPADS)
AU - Moreira, Guilherme
AU - Santos, Maribel Yasmina
AU - Moura-Pires, Joao
PY - 2013
Y1 - 2013
N2 - Nowadays, organizations are facing several challenges when they try to analyze generated data with the aim of extracting useful information. This analytical capacity needs to be enhanced with tools capable of dealing with big data sets without making the analytical process a difficult task. Clustering is usually used, as this technique does not require any prior knowledge about the data. However, clustering algorithms usually require one or more input parameters that influence the clustering process and the results that can be obtained. This work analyses the relation between the three input parameters of the SNN (Shared Nearest Neighbor) algorithm and proposes specific guidelines for the identification of the appropriate input parameters that optimizes the processing time.
AB - Nowadays, organizations are facing several challenges when they try to analyze generated data with the aim of extracting useful information. This analytical capacity needs to be enhanced with tools capable of dealing with big data sets without making the analytical process a difficult task. Clustering is usually used, as this technique does not require any prior knowledge about the data. However, clustering algorithms usually require one or more input parameters that influence the clustering process and the results that can be obtained. This work analyses the relation between the three input parameters of the SNN (Shared Nearest Neighbor) algorithm and proposes specific guidelines for the identification of the appropriate input parameters that optimizes the processing time.
KW - clustering
KW - density-based clustering
KW - shared nearest neighbor
KW - input parameters tuning
U2 - 10.1109/ICPADS.2013.89
DO - 10.1109/ICPADS.2013.89
M3 - Conference contribution
T3 - International Conference on Parallel and Distributed Systems - Proceedings
SP - 492
EP - 497
BT - 2013 19TH IEEE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2013)
PB - IEEE
Y2 - 15 December 2013 through 18 December 2013
ER -