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Frequent Pattern Mining

  • What's Hot and What's Not: Tracking Most Frequent Items Dynamically, by Graham Cormode, S. Muthukrishnan, in the ACM Symposium on Principles of Database Systems (PODS) 2003.
  • Dynamically Maintaining Frequent Items Over A Data Stream, by Cheqing Jin, Weining Qian, Chaofeng Sha, Jeffrey X. Yu, Aoying Zhou, in the Conference on Information and Knowledge Management (CIKM) 2003.
  • Processing Frequent Itemset Discovery Queries by Division and Set Containment Join Operators, by Ralf Rantzau, in the ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) 2003.
  • Approximate Frequency Counts over Data Streams, by Gurmeet Singh Manku, Rajeev Motawani, in the International Conference on Very Large Data Bases (VLDB) 2002.
  • An Algorithm for In-Core Frequent Itemset Mining on Streaming Data, by Ruoming Jin, Gagan Agrawal, submitted for publication 2004.
  • A Simple Algorithm for Finding Frequent Elements in Streams and Bags, by Richard M. Karp, Scott Shenker, in the ACM Transactions on Database Systems (TODS) 2003.
  • Bursty and Hierarchical Structure in Streams, by Jon Kleinberg, in the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD) 2002.
  • Online Algorithms for Mining Semi-structured Data Stream, by Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Kawasoe, Setsuo Arikawa, in the IEEE International Conf. Data Mining (ICDM) 2002.
  • Finding Hierarchical Heavy Hitters in Data Streams, by Graham Cormode, Flip Korn, S. Muthukrishnan, Divesh Srivastava, in the International Conference on Very Large Data Bases (VLDB) 2003.
  • Finding Recent Frequent Itemsets Adaptively over Online Data Streams, by Joong Hyuk Chang, Won Suk Lee, in the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD) 2003.
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