Clustering Text Data Streams
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Jian Yin | Yubao Liu | Ada Wai-Chee Fu | Jiarong Cai | A. Fu | Jian Yin | Yubao Liu | Jiarong Cai
[1] ChengXiang Zhai,et al. Discovering evolutionary theme patterns from text: an exploration of temporal text mining , 2005, KDD '05.
[2] Xiaohua Hu,et al. Context-sensitive semantic smoothing for the language modeling approach to genomic IR , 2006, SIGIR.
[3] Xiaohua Hu,et al. Semantic Smoothing for Model-based Document Clustering , 2006, Sixth International Conference on Data Mining (ICDM'06).
[4] Aoying Zhou,et al. Approximately Processing Multi-granularity Aggregate Queries over Data Streams , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[5] George Karypis,et al. A Comparison of Document Clustering Techniques , 2000 .
[6] Yiming Yang,et al. A study of retrospective and on-line event detection , 1998, SIGIR '98.
[7] Philip S. Yu,et al. Suppressing model overfitting in mining concept-drifting data streams , 2006, KDD '06.
[8] Yixin Chen,et al. Multi-Dimensional Regression Analysis of Time-Series Data Streams , 2002, VLDB.
[9] Jian Pei,et al. Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams , 2006, DaWaK.
[10] Won Suk Lee,et al. Effect of Count Estimation in Finding Frequent Itemsets over Online Transactional Data Streams , 2005, Journal of Computer Science and Technology.
[11] Hector Garcia-Molina,et al. Overview of multidatabase transaction management , 2005, The VLDB Journal.
[12] Sudipto Guha,et al. Streaming-data algorithms for high-quality clustering , 2002, Proceedings 18th International Conference on Data Engineering.
[13] Arindam Banerjee,et al. Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning , 2007, SDM.
[14] John D. Lafferty,et al. A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.
[15] Sudipto Guha,et al. Clustering Data Streams , 2000, FOCS.
[16] Hongjun Lu,et al. Classifying Text Streams in the Presence of Concept Drifts , 2004, PAKDD.
[17] Shi Zhong,et al. Efficient streaming text clustering , 2005, Neural Networks.
[18] Rui Zhou,et al. Load Shedding for Window Joins over Streams , 2006, WAIM.
[19] John D. Lafferty,et al. Two-stage language models for information retrieval , 2002, SIGIR '02.
[20] Qi He,et al. Bursty Feature Representation for Clustering Text Streams , 2007, SDM.
[21] Charu C. Aggarwal,et al. A framework for diagnosing changes in evolving data streams , 2003, SIGMOD '03.
[22] Yixin Chen,et al. Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams , 2005, Distributed and Parallel Databases.
[23] Philip S. Yu,et al. A Framework for Clustering Massive Text and Categorical Data Streams , 2006, SDM.
[24] Philip S. Yu,et al. Parameter Free Bursty Events Detection in Text Streams , 2005, VLDB.
[25] Jian Yin,et al. Document Clustering Based on Semantic Smoothing Approach , 2007, AWIC.
[26] Yangyong Zhu,et al. L-Tree Match: A New Data Extraction Model and Algorithm for Huge Text Stream with Noises , 2005, Journal of Computer Science and Technology.
[27] Philip S. Yu,et al. A Framework for Projected Clustering of High Dimensional Data Streams , 2004, VLDB.
[28] Aoying Zhou,et al. Efficient Computation of k-Medians over Data Streams Under Memory Constraints , 2006, Journal of Computer Science and Technology.
[29] Qiang Yang,et al. Thread detection in dynamic text message streams , 2006, SIGIR.
[30] Philip S. Yu,et al. A Framework for Clustering Evolving Data Streams , 2003, VLDB.
[31] Jian Yin,et al. Clustering Massive Text Data Streams by Semantic Smoothing Model , 2007, ADMA.
[32] Joydeep Ghosh,et al. Under Consideration for Publication in Knowledge and Information Systems Generative Model-based Document Clustering: a Comparative Study , 2003 .
[33] Philip S. Yu,et al. Online mining of data streams: applications, techniques and progress , 2005, 21st International Conference on Data Engineering (ICDE'05).