Volume : IV, Issue : V, May - 2015
Frequent Sequential Pattern mining with Weighted Regular Expression and Length Constraint
Dipak R. Kawade, Dr. Kavita S. Oza
Abstract :
In this internet world, huge amount of data is collected in digital form. These data contains useful hidden knowledge. To discover hidden knowledge from huge data is time consuming, tedious and challenging task. Data mining’s frequent pattern mining technique is useful for such purpose. Lots of algorithms were already tackling this issue but main problem related to frequent pattern mining is efficiency and effectiveness of algorithm. To solve this problem many researchers were used constraint based pattern mining technique. For efficiency and effective execution of algorithm present study uses regular expression constraint which is inexpensive in time and memory. Many of the researcher’s uses support count technique. Main problem related with support count technique is to find ideal support value. To solve this issue present work uses weight constraint. Length of pattern is also important criteria. Present work also uses length constraint. Present work uses three constraints namely regular expressing which focus user interest, weight which concentrate on importance of item and length which restrict length of pattern.
Keywords :
Data Mining Frequent pattern mining constraint based pattern mining regular expression constraint weight constraint length constraint
Article:
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DOI : 10.36106/ijsr
Cite This Article:
Dipak R. Kawade, Dr. Kavita S. Oza Frequent Sequential Pattern mining with Weighted Regular Expression and Length Constraint International Journal of Scientific Research, Vol : 4, Issue : 5 May 2015
Number of Downloads : 873
References :
Dipak R. Kawade, Dr. Kavita S. Oza Frequent Sequential Pattern mining with Weighted Regular Expression and Length Constraint International Journal of Scientific Research, Vol : 4, Issue : 5 May 2015
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