CAMLS: A Constraint-Based Apriori Algorithm for Mining Long Sequences

  title={CAMLS: A Constraint-Based Apriori Algorithm for Mining Long Sequences},
  author={Yaron Gonen and Nurit Gal-Oz and Ran Yahalom and Ehud Gudes},
Mining sequential patterns is a key objective in the field of data mining due to its wide range of applications. Given a database of sequences, the challenge is to identify patterns which appear frequently in different sequences. Well known algorithms have proved to be efficient, however these algorithms do not perform well when mining databases that have long frequent sequences. We present CAMLS, Constraint-based Apriori Mining of Long Sequences, an efficient algorithm for mining long… CONTINUE READING


Publications citing this paper.
Showing 1-6 of 6 extracted citations

Comparative study of recent sequential pattern mining algorithms on web clickstream data

2015 IEEE Power, Communication and Information Technology Conference (PCITC) • 2015
View 1 Excerpt

Analysis of pathogens of pneumonia in children based on aprior algorithm

2011 IEEE International Symposium on IT in Medicine and Education • 2011
View 1 Excerpt

Tracking end-users in web databases

2011 5th International Conference on Network and System Security • 2011
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 15 references

Mining Sequential Patterns

View 10 Excerpts
Highly Influenced

SPADE: An Efficient Algorithm for Mining Frequent Sequences

Machine Learning • 2001
View 5 Excerpts
Highly Influenced

Data Mining: Practical Machine Learning Tools and Techniques

SIGMOD Record • 1999
View 2 Excerpts
Highly Influenced

Daily stock prices from january 1988 through october 1991, for ten aerospace companies

Luis Torgo
Advances in Database Technology – EDBT ’ 96 : 5 th International Conference on Extending Database Technology , Avignon , France , March 25 - 29 , 1996 : Proceedings , page 3 • 2007
View 1 Excerpt

Constraint-based sequential pattern mining: the pattern-growth methods

Journal of Intelligent Information Systems • 2006
View 2 Excerpts

Ieee Computer Society, Ieee Computer Society, and Mei chun Hsu. Mining sequential patterns by pattern-growth: The prefixspan approach

Jian Pei, Jiawei Han, +5 authors Umeshwar Dayal
IEEE Transactions on Knowledge and Data Engineering, • 2004
View 3 Excerpts

Mining sequential patterns by pattern-growth: the PrefixSpan approach

IEEE Transactions on Knowledge and Data Engineering • 2004

Similar Papers

Loading similar papers…