ICDM'05 - Session 4: Time Series II An Algorithm for In-Core Frequent Itemset Mining on Streaming Data Ruoming Jin Gagan Agrawal Sequential Pattern Mining in Multiple Data Streams Gong Chen Xindong Wu Xingquan Zhu Finding Maximal Frequent Itemsets over Online Data Streams Adaptively Daesu Lee Wonsuk Lee Feature Selection for Building Cost-Effective Data Stream Classifiers Like Gao X. Sean Wang Mining Approximate Frequent Itemset from Noisy Data Jinze Liu Paulsen Susan Wei Wang Andrew Nobel Jan Prins On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams Peng Wang Haixun Wang Xiaochen Wu Wei Wang Baile Shi Finding the Most Unusual Time Series Subsequence: Algorithms and Applications Eamonn J. Keogh Jessica Lin Ada Fu Return to ICDM'05 session listing ©2006 Association for Computing Machinery