Web Intelligence Data Clustering by Bare Bone Fireworks Algorithm Combined with K-Means (CROSBI ID 696084)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tuba, Eva ; Jovanovic, Raka ; Capor Hrosik, Romana ; Alihodzic, Adis ; Tuba, Milan
engleski
Web Intelligence Data Clustering by Bare Bone Fireworks Algorithm Combined with K-Means
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.
web intelligence ; clustering, swarm intelligence algorithm
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Podaci o prilogu
1-8.
2018.
objavljeno
10.1145/3227609.3227650
Podaci o matičnoj publikaciji
Akerkar, Rajendra ; Ivanović, Mirjana
New York (NY): The Association for Computing Machinery (ACM)
978-1-4503-5489-9
Podaci o skupu
8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018)
predavanje
25.06.2018-27.06.2018
Novi Sad, Srbija