Clustering and evolutionary approach for longitudinal web traffic analysis-Reference-Cited by-同舟云学术

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Clustering and evolutionary approach for longitudinal web traffic analysis

Published:2019-11 Issue: Volume:135 Page:102033
ISSN:0166-5316
Container-title:Performance Evaluation
language:en
Short-container-title:Performance Evaluation

Author:

Morichetta Andrea,Mellia Marco

Funder

Vienna Science and Technology Fund (WWTF), Austria

BigDAMA, Italy

SmartData@PoliTO center for Big Data technologies, Italy

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Modeling and Simulation,Software

Reference34 articles.

1. Data Clustering: Algorithms and Applications;Aggarwal,2013

2. M. Ester, H.-P. Kriegel, J. Sander, X. Xu, et al. A density-based algorithm for discovering clusters in large spatial databases with noise.http://dl.acm.org/citation.cfm?id=3001460.3001507

3. Traffic classification using clustering algorithms;Erman,2006

4. Network traffic classification using k-means clustering;Liu,2007

5. Http as the narrow waist of the future internet;Popa,2010

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1. Semantic Relation-Based Modularity-Optimized Community Detection Algorithm for Heterogeneous Networks;Lecture Notes in Electrical Engineering;2022

2. Overview of Artificial Intelligence and Machine Learning;Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning;2021-09-03

3. K-MDTSC: K-Multi-Dimensional Time-Series Clustering Algorithm;Electronics;2021-05-13

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