Grid-based subspace clustering over data streams

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management - CIKM '07 ◽

10.1145/1321440.1321551 ◽

2007 ◽

Author(s):

Nam Hun Park ◽

Won Suk Lee

Keyword(s):

Data Streams ◽

Subspace Clustering ◽

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A Grid-Based Subspace Clustering Algorithm for High-Dimensional Data Streams

Web Information Systems – WISE 2006 Workshops - Lecture Notes in Computer Science ◽

10.1007/11906070_4 ◽

2006 ◽

pp. 37-48 ◽

Author(s):

Yufen Sun ◽

Yansheng Lu

Keyword(s):

Data Streams ◽

Clustering Algorithm ◽

High Dimensional Data ◽

Subspace Clustering ◽

High Dimensional ◽

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A coarse-grain grid-based subspace clustering method for online multi-dimensional data streams

Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08 ◽

10.1145/1458082.1458366 ◽

2008 ◽

Author(s):

Jae Woo Lee ◽

Won Suk Lee

Keyword(s):

Data Streams ◽

Subspace Clustering ◽

Coarse Grain ◽

Clustering Method ◽

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A Grid-Based Clustering Algorithm for High-Dimensional Data Streams

Advanced Data Mining and Applications - Lecture Notes in Computer Science ◽

10.1007/11527503_97 ◽

2005 ◽

pp. 824-831 ◽

Author(s):

Yansheng Lu ◽

Yufen Sun ◽

Guiping Xu ◽

Gang Liu

Keyword(s):

Data Streams ◽

Clustering Algorithm ◽

High Dimensional Data ◽

High Dimensional ◽

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Sparse Subspace Clustering for Evolving Data Streams

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2019.8683205 ◽

2019 ◽

Author(s):

Jinping Sui ◽

Zhen Liu ◽

Li Liu ◽

Alexander Jung ◽

Tianpeng Liu ◽

...

Keyword(s):

Data Streams ◽

Subspace Clustering ◽

Sparse Subspace Clustering ◽

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Subspace clustering of data streams: new algorithms and effective evaluation measures

Journal of Intelligent Information Systems ◽

10.1007/s10844-014-0319-2 ◽

2014 ◽

Vol 45 (3) ◽

pp. 319-335 ◽

Author(s):

Marwan Hassani ◽

Yunsu Kim ◽

Seungjin Choi ◽

Thomas Seidl

Keyword(s):

Data Streams ◽

Subspace Clustering ◽

Evaluation Measures ◽

Effective Evaluation ◽

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Effective Evaluation Measures for Subspace Clustering of Data Streams

Lecture Notes in Computer Science - Trends and Applications in Knowledge Discovery and Data Mining ◽

10.1007/978-3-642-40319-4_30 ◽

2013 ◽

pp. 342-353 ◽

Author(s):

Marwan Hassani ◽

Yunsu Kim ◽

Seungjin Choi ◽

Thomas Seidl

Keyword(s):

Data Streams ◽

Subspace Clustering ◽

Evaluation Measures ◽

Effective Evaluation

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Dynamic Sparse Subspace Clustering for Evolving High-Dimensional Data Streams

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3023973 ◽

2020 ◽

pp. 1-14

Author(s):

Jinping Sui ◽

Zhen Liu ◽

Li Liu ◽

Alexander Jung ◽

Xiang Li

Keyword(s):

Data Streams ◽

High Dimensional Data ◽

Subspace Clustering ◽

High Dimensional ◽

Sparse Subspace Clustering

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Toward a Grid-Based Zero-Latency Data Warehousing Implementation for Continuous Data Streams Processing

International Journal of Data Warehousing and Mining ◽

10.4018/jdwm.2005100102 ◽

2005 ◽

Vol 1 (4) ◽

pp. 22-55 ◽

Author(s):

Tho Manh Nguyen ◽

Peter Brezany ◽

A. Min Tjoa ◽

Edgar Weippl

Keyword(s):

Data Streams ◽

Data Warehousing ◽

Continuous Data ◽

Latency Data ◽

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Approximate Trace of Grid-Based Clusters over High Dimensional Data Streams

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-540-71701-0_82 ◽

2007 ◽

pp. 753-760

Author(s):

Nam Hun Park ◽

Won Suk Lee

Keyword(s):

Data Streams ◽

High Dimensional Data ◽

High Dimensional ◽

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Efficient subspace clustering of large-scale data streams with misses

2016 Annual Conference on Information Science and Systems (CISS) ◽

10.1109/ciss.2016.7460569 ◽

2016 ◽

Author(s):

Panagiotis A. Traganitis ◽

Georgios B. Giannakis

Keyword(s):

Data Streams ◽

Large Scale ◽

Subspace Clustering ◽

Large Scale Data ◽

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