Clustering Text Data Streams

Dou Shen, Qiang Yang, JianTao Sun, Zheng Chen. Thread detection in dynamic text message streams. In Proc. ACM SIGIR 2006, Seattle, Washington, August 6–11, pp.35–42.

Aggarwal C C. A framework for diagnosing changes in evolving data streams. In Proc. ACM SIGMOD 2003, San Diego, June 9–12, pp.575–586.

Agrawal C C, Han J, Wang J, Yu P S. A framework for clustering evolving data streams. In Proc. VLDB 2003, Berlin, September 9–12, 2003, pp.81–92.

Agrawal C C, Han J, Wang J, Yu P S. A framework for projected clustering of high dimensional data streams. In Proc. VLDB 2004, Toronto, August 31-September 3, pp.852–863.

O’Callaghan L, Mishra N, Meyerson A, Guha S. Streaming data algorithms for high-quality clustering. In Proc. ICDE 2002, San Jose, CA, February 26-March 1, pp.685–704.

Aggarwal C C, Yu P S, A framework for clustering massive text and categorical data streams. In Proc. SIAM Conference on Data Mining, Bethesda, MD, April 20–22, 2006, pp.407–411.

Yang Y, Pierce T, Carbonell J. A study of retrospective and on-line event detection. In Proc. ACM SIGIR, Melbourne, August 24–28, 1998, pp.28–36.

Arindam Banerjee, Sugato Basu. Topic models over text streams: A study of batch and online unsupervised learning. In Proc. SIAM Conference on Data Mining, Minneapolis, April 26–28, 2007, pp.437–442.

Xiaodan Zhang, Xiaohua Zhou, Xiaohua Hu. Semantic smoothing for model-based document clustering. In Proc. ICDM06, Hong Kong, December 18–22, pp.1193–1198.

Zhou X, Hu X, Zhang X, Lin X, Song I Y. Context-sensitive semantic smoothing for the language modeling approach to genomic IR. In Proc. ACM SIGIR, Seattle, Washington, August 6–11, 2006, pp.170–177.

Zhai C, Lafferty J. Two-stage language models for information retrieval. In Proc. ACM SIGIR, Tampere, August 11–15, 2002, pp.49–56.

Zhai C, Lafferty J. A study of smoothing methods for language models applied to ad hoc information retrieval. In Proc. ACM SIGIR, New Orleans, September 9–13, 2001, pp.334–342.

Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu. Clustering massive text data streams by semantic smoothing model. In Proc. ADMA, Harbin, August 6–8, 2007, pp.389–400.

Zhong S, Ghosh J. Generative model-based document clustering: A comparative study. Knowledge and Information Systems, 2005, 8(3): 374–384.

Steinbach M, Karypis G, Kumar V. A comparison of document clustering techniques. In Proc. Text Mining Workshop, KDD 2000, Boston, August 20–23, pp.1–20.

Guha S, Mishra N, Motwani R, O’Callaghan L. Clustering data streams. In Proc. FOCS 2000, California, November 12–14, pp.359–366.

Shi Zhong. Efficient streaming text clustering. Neural Networks, 2005, 18(5–6): 790–798.

Fung G P C, Yu J X, Yu P S, Lu H. Parameter free bursty events detection in text streams. In Proc. VLDB 2005, Trondheim, August 30-September 2, pp.181–192

Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang. Bursty feature representation for clustering text streams. In Proc. SIAM Conference on Data Mining 2007, Minneapolis, April 26–28, pp.491–496.

Xu-Bin Deng, Yang-Yong Zhu. L-tree match: A new data extraction model and algorithm for huge text stream with noises. Journal of Computer Science and Technology, 2005, 20(6): 763–773.

Gabriel Pui Cheong Fung, Jeffery Xu Yu, Hongjun Lu. Classifying text streams in the presence of concept drifts. In Proc. PAKDD 2004, Sydney, May 26–28, pp.373–383.

Haixun Wang, Jian Yin, Jian Pei, Philip S Yu, Jeffrey Xu Yu. Suppressing model over-fitting in mining concept-drifting data streams. In Proc. KDD 2006, Philadelphia, August 20–23, pp.736–741.

Weiheng Zhu, Jian Pei, Jian Yin, Yihuang Xie. Granularity adaptive density estimation and on demand clustering of concept-drifting data streams. In Proc. DaWaK 2006, Krakow, September 4–8, pp.322–331.

Qiaozhu Mei, Chengxiang Zhai. Discovering evolutionary theme patterns from text–An exploration of temporal text mining. In Proc. KDD 2005, Chicago, August 21–24, pp.198–207.

Shouke Qin, Weining Qian, Aoying Zhou. Approximately processing multi-granularity aggregate queries over data streams. In Proc. ICDE 2006, Atlanta, April 3–8, p.67.

Dong-Hong Han, Guo-Ren Wang, Chuan Xiao, Rui Zhou. Load shedding for window joins over streams. Journal of Computer Science and Technology, 2007, 22(2): 182–189.

Zhi-Hong Chong, Jeffrey Xu Yu, Zhen-Jie Zhang, Xue-Min Lin, Wei Wang, Ao-Ying Zhou. Efficient computation of k-medians over data streams under memory constraints. Journal of Computer Science and Technology, 2006, 21(2): 284–296.

Jian Pei, Haixun Wang, Philip S Yu. Online mining of data streams: Applications, techniques and progress. In Proc. KDD 2004 (Tutorials), Seattle, WA, August 22–25, pp.1–60.

Joong Hyuk Chang, Won Suk Lee. Effect of count estimation in finding frequent itemsets over online transactional data streams. Journal of Computer Science and Technology, 2005, 20(1): 63–69.

Jiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W Wah, Jianyong Wang, Y Dora Cai. Stream cube: An architecture for multi-dimensional analysis of data streams. Distributed and Parallel Databases, 2005, 18(2): 173–197.

Yixin Chen, Guozhu Dong, Jiawei Han, Benjamin W Wah, Jianyong Wang. Multi-dimensional regression analysis of time-series data streams. In Proc. VLDB 2002, August 20–23, Hong Kong, pp.323–334.

Yubao Liu, Jiarong Cai, Jian Yin, Zhilan Huang. Document clustering based on semantic smoothing approach. In Proc. AWIC 2007, Fontainebleau, June 25–27, pp.217–222.