(Enter summary)
Abstract: We consider the problem of discovering association rules between items in a large database
of sales transactions. We presenttwo new algorithms for solving this problem that are fundamentally
different from the known algorithms. Experiments with synthetic as well as real-life
data show that these algorithms outperform the known algorithms by factors ranging from three
for small problems to more than an order of magnitude for large problems. We also showhow
the best features of the two... (Update)
Similar documents based on text: More All
1.2: Fast Algorithms for Mining Association Rules - Agreewed, Srikent
(Correct)
0.4: Literaturverzeichnis - Dm-Seminar Juli
(Correct)
0.3: Parallel Mining of Association Rules - Agrawal, Shafer (1996)
(Correct)
BibTeX entry: (Update)
Rakesh Agrawal and Ramakrishnan Srikant. Fast Algorithms for Mining Association Rules. In Proc. of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, September 1994. http://citeseer.ist.psu.edu/article/agrawal94fast.html More
@inproceedings{ agrawal94fast,
author = "Rakesh Agrawal and Ramakrishnan Srikant",
title = "Fast Algorithms for Mining Association Rules",
booktitle = "Proc. 20th Int. Conf. Very Large Data Bases, {VLDB}",
month = "12--15~",
publisher = "Morgan Kaufmann",
editor = "Jorge B. Bocca and Matthias Jarke and Carlo Zaniolo",
isbn = "1-55860-153-8",
pages = "487--499",
year = "1994",
url = "citeseer.ist.psu.edu/article/agrawal94fast.html" }
Citations (may not include all citations):
1543
Probabilistic reasoning in intelligent systems: Networks of .. (context) - Pearl - 1992
1262
Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
921
Mining association rules between sets of items in large data..
- Agrawal, Imielinski et al. - 1993
416
A Bayesian method for the induction of probabilistic network.. (context) - Cooper, Herskovits - 1992
349
Knowledge acquisition via incremental conceptual clustering (context) - Fisher - 1987
281
Programs for Machine Learning (context) - Quinlan - 1993
271
Efficient induction of logic programs
- Muggleton, Feng - 1992
160
Knowledge Discovery in Databases (context) - Piatestsky-Shapiro - 1991
153
AutoClass: A Bayesian classification system (context) - Cheeseman - 1988
121
Efficient algorithms for discovering association rules
- Mannila, Verkamo - 1994
117
IEEE Transactions on Knowledge and Data Engineering (context) - Agrawal, Imielinski et al. - 1993
95
An interval classifier for database mining applications
- Agrawal, Ghosh et al. - 1992
88
Knowledge discovery in databases: An attribute oriented appr..
- Han, Cai et al. - 1992
71
Scientific Discovery: Computational Explorations of the Crea.. (context) - Langley, Simon et al. - 1987
47
Data mining: The search for knowledge in databases
- Holsheimer, Siebes - 1994
[Article contains additional citations not shown here]
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://arbor.ee.ntu.edu.tw/~chyun/pc.htm): More
SPRINT: A Scalable Parallel Classifier for Data Mining - Shafer, Agrawal, Mehta (1996)
(Correct)
WebML: Querying the World-Wide Web for Resources and Knowledge - Zaïane, Han (1998)
(Correct)
Using Taxonomy, Discriminants, and Signatures for.. - Chakrabarti, Dom.. (1997)
(Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC