Title :
Mining Single Sequence at Once Using Disjunctive Tree Patterns
Author :
SHIMIZU, Kazuhiro ; Miura, Takao
Author_Institution :
Hosei University, Japan
Abstract :
Frequent disjunctive patterns is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorithms such as APRIORI. In this work, we propose a new technique for mining frequent disjunctive tree patterns based on Online analysis approach, by which we can improve mining a collection of single sequences in parallel, and discuss some experimental results.
Keywords :
Anti-Monotonicity; Disjunctive Tree Pattern; Semi-Structured Data;
Conference_Titel :
Hybrid Intelligent Systems, 2006. HIS '06. Sixth International Conference on
Conference_Location :
Rio de Janeiro, Brazil
Print_ISBN :
0-7695-2662-4
DOI :
10.1109/HIS.2006.264921