Call For Paper Volume:4 Issue:10 Oct'2017 |

An incremental mining algorithm for maintaining sequential patterns using pre-large sequences

Publication Date : 30/11/2014



Author(s) :

Miss. Radhika Jagzap , Prof. N. G. Pardeshi.


Volume/Issue :
Volume 1
,
Issue 5
(11 - 2014)



Abstract :

Mining useful information and helpful knowledge from large databases has evolved into an important research area in recent years. Among the classes of knowledge derived, finding sequential patterns in temporal transaction databases is very important since it can help model customer behavior. In the past, researchers usually assumed databases were static to simplify data- mining problems. In real-world applications, new transactions may be added into databases frequently. Designing an efficient and effective mining algorithm that can maintain sequential patterns as a database grows is thus important. In this paper, we propose a novel incremental mining algorithm for maintaining sequential patterns based on the concept of pre-large sequences to reduce the need for rescanning original databases.


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An incremental mining algorithm for maintaining sequential patterns using pre-large sequences

December 6, 2014