@inproceedings{d884120d2dad4b35b06b6b207883c879,
title = "DistClusTree: A framework for distributed stream clustering",
abstract = "In this paper, we investigate the problem of clustering distributed multidimensional data streams. We devise a distributed clustering framework DistClusTree that extends the centralized ClusTree approach. The main difficulty in distributed clustering is balancing communication cost and clustering quality. We tackle this in DistClusTree through combining spatial index summaries and online tracking for efficient local and global incremental clustering. We demonstrate through extensive experiments the efficacy of the framework in terms of communication cost and approximate clustering quality.",
author = "{Razavi Hesabi}, Zhinoos and Timos Sellis and Kewen Liao",
year = "2018",
month = jun
day = "26",
doi = "10.1007/978-3-319-92013-9_23",
language = "English",
isbn = "9783319920122",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag London Ltd.",
pages = "288--299",
editor = "Junhu Wang and Gao Cong and Jinjun Chen and Jianzhong Qi",
booktitle = "Databases Theory and Applications 29th Australasian Database Conference, ADC 2018, Proceedings",
address = "Germany",
note = "29th Australasian Database Conference, ADC 2018 ; Conference date: 24-05-2018 Through 27-05-2018",
}