Abstract is missing.
- Analyzing massive data streams: past, present, and futureMinos N. Garofalakis. 1 [doi]
- A symbolic representation of time series, with implications for streaming algorithmsJessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu. 2-11 [doi]
- Clustering binary data streams with K-meansCarlos Ordonez. 12-19 [doi]
- Processing frequent itemset discovery queries by division and set containment join operatorsRalf Rantzau. 20-27 [doi]
- Efficient OLAP operations for spatial data using peano treesBaoying Wang, Fei Pan, Dongmei Ren, Yue Cui, Qiang Ding, William Perrizo. 28-34 [doi]
- Clustering gene expression data in SQL using locally adaptive metricsDimitris Papadopoulos, Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma. 35-41 [doi]
- Graph-based ranking algorithms for e-mail expertise analysisByron Dom, Iris Eiron, Alex Cozzi, Yi Zhang. 42-48 [doi]
- Deriving link-context from HTML tag treeGautam Pant. 49-55 [doi]
- Clustering of streaming time series is meaninglessJessica Lin, Eamonn J. Keogh, Wagner Truppel. 56-65 [doi]
- A learning-based approach to estimate statistics of operators in continuous queries: a case studyLike Gao, Min Wang, Xiaoyang Sean Wang, Sriram Padmanabhan. 66-72 [doi]
- Using transposition for pattern discovery from microarray dataFrançois Rioult, Jean-François Boulicaut, Bruno Crémilleux, Jérémy Besson. 73-79 [doi]
- Weave amino acid sequences for protein secondary structure predictionXiaochun Yang, Bin Wang. 80-87 [doi]
- Assuring privacy when big brother is watchingMurat Kantarcioglu, Chris Clifton. 88-93 [doi]
- Dynamic inference controlJessica Staddon. 94-100 [doi]