TY - GEN
T1 - Web intelligence data clustering by bare bone fireworks algorithm combined with k-means
AU - Tuba, Eva
AU - Jovanovic, Raka
AU - Hrosik, Romana Capor
AU - Alihodzic, Adis
AU - Tuba, Milan
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/6/25
Y1 - 2018/6/25
N2 - Data mining and clustering are important elements of various applications in different fields. One of the areas were clustering is rather frequently used is web intelligence, which nowadays represents an important research area. Data collected from the web are usually very complex, dynamic, without structure and rather large. Traditional clustering techniques are not efficient enough and need to be improved. In this paper, we propose combination of recent swarm intelligence algorithm, bare bones fireworks algorithm, and k-means for clustering web intelligence data. The proposed method was compared with other approaches from literature. Based on the experimental results, it can be concluded that the proposed method has very promising characteristics in terms of the quality of clustering, as well as the execution time.
AB - Data mining and clustering are important elements of various applications in different fields. One of the areas were clustering is rather frequently used is web intelligence, which nowadays represents an important research area. Data collected from the web are usually very complex, dynamic, without structure and rather large. Traditional clustering techniques are not efficient enough and need to be improved. In this paper, we propose combination of recent swarm intelligence algorithm, bare bones fireworks algorithm, and k-means for clustering web intelligence data. The proposed method was compared with other approaches from literature. Based on the experimental results, it can be concluded that the proposed method has very promising characteristics in terms of the quality of clustering, as well as the execution time.
KW - Bare bones fireworks algorithm
KW - Clustering
KW - K-means
KW - Swarm intelligence
KW - Web intelligence data
KW - Web mining
UR - http://www.scopus.com/inward/record.url?scp=85053484861&partnerID=8YFLogxK
U2 - 10.1145/3227609.3227650
DO - 10.1145/3227609.3227650
M3 - Conference contribution
AN - SCOPUS:85053484861
T3 - ACM International Conference Proceeding Series
BT - WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics
A2 - Badica, Costin
A2 - Akerkar, Rajendra
A2 - Ivanovic, Mirjana
A2 - Savic, Milos
A2 - Radovanovic, Milos
A2 - Kim, Sang-Wook
A2 - Rosati, Riccardo
A2 - Manolopoulos, Yannis
PB - Association for Computing Machinery
T2 - 8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018
Y2 - 25 June 2018 through 27 June 2018
ER -