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PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth
  • J. Pei, Jiawei Han, +4 authors M. Hsu
  • Computer Science
  • Proceedings 17th International Conference on Data…
  • 2 April 2001
We propose a novel sequential pattern mining method, called Prefixspan (i.e., Prefix-projected - Ettern_ mining), which explores prejxprojection in sequential pattern Mining. Expand
Mining sequential patterns by pattern-growth: the PrefixSpan approach
  • J. Pei, Jiawei Han, +5 authors M. Hsu
  • Computer Science
  • IEEE Transactions on Knowledge and Data…
  • 1 November 2004
In this paper, we propose a projection-based, sequential pattern-growth approach for efficient mining of sequential patterns. Expand
An overview of data warehousing and OLAP technology
This paper provides an overview of data warehousing and on-line analytical processing (OLAP) technologies, with an emphasis on their new requirements. Expand
FreeSpan: frequent pattern-projected sequential pattern mining
Permission to make digital or hard copies of part or all of this work or personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear the full citation on the first page. Expand
An overview of business intelligence technology
BI technologies are essential to running today's businesses and this technology is going through sea changes. Expand
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
On the correct translation of update operations on relational views
We formalize the notion of update translation and derive conditions under which translation procedures will produce correct translations of view updates. Expand
Active Database Systems: Triggers and Rules For Advanced Database Processing
From the Publisher: Active database systems enhance traditional database functionality with powerful rule-processing capabilities, providing a uniform and efficient mechanism for many databaseExpand
K-Harmonic Means - A Data Clustering Algorithm
We propose a new clustering method called the K-Harmonic Means algorithm (KHM). Expand
Business Process Intelligence
Business Process Intelligence (BPI,) is an emerging area that is getting increasingly popularfor enterprises. Expand