Title :
Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining
Author :
Lin, Chun-Wei ; Hong, Tzung-Pei ; Lu, Wen-Hsiang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan
fDate :
March 1 2007-April 5 2007
Abstract :
In the past, we proposed a Fast Updated FP-tree (FUFP-tree) structure to efficiently handle new transactions and to make the tree update process become easier. In this paper, we attempt to modify the FUFP-tree construction based on the concept of pre-large itemsets. Pre-large itemsets are defined by a lower support threshold and an upper support threshold. The proposed approach can achieve a good execution time for tree construction especially when each time a small number of transactions are inserted. Experimental results also show that the proposed Pre-FUFP maintenance algorithm has a good performance for incrementally handling new transactions.
Keywords :
data mining; tree data structures; FUFP-tree construction; Fast Updated FP-tree structure; incremental mining; pre-FUFP algorithm; transactions handling; Association rules; Bidirectional control; Computational intelligence; Computer science; Data mining; Itemsets; Iterative algorithms; Partitioning algorithms; Testing; Transaction databases;
Conference_Titel :
Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0705-2
DOI :
10.1109/CIDM.2007.368930