Time and Space Efficient Web Document Clustering Using Rayleigh Distribution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-018-5366-5/fulltext.html
Reference20 articles.
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3. Tao, X., Li, Y., & Zhong, N. (2011). A personalized ontology model for web information gathering. IEEE Transactions on Knowledge and Data Engineering, 23(4), 496–511.
4. Habibi, M., & Popescu-Belis, A. (2015). Keyword extraction and clustering for document recommenda in conversations. IEEE Transactions on Audio, Speech and Language Processing, 23(4), 746–759.
5. Kim, C., & Shim, K. (2011). TEXT: Automatic template extraction from heterogeneous web pages. IEEE Transactions on Knowledge and Data Engineering, 23(4), 612–626.
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