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CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 4 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
KDD
1997
ACM
114views Data Mining» more  KDD 1997»
15 years 11 months ago
Schema Discovery for Semistructured Data
To formulate a meaningful query on semistructured data, such as on the Web, that matches some of the source’s structure, we need first to discover something about how the infor...
Ke Wang, Huiqing Liu
ECRTS
2004
IEEE
15 years 10 months ago
Maintaining Data Freshness in Distributed Real-Time Databases
Many real-time systems need to maintain fresh views which are derived from shared data that are distributed among multiple sites. When a base data item changes, all derived views ...
Yuan Wei, Sang Hyuk Son, John A. Stankovic
KDD
1997
ACM
159views Data Mining» more  KDD 1997»
15 years 10 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
CIKM
2004
Springer
16 years 3 days ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu