Mining Sequential Patterns.
Rakesh Agrawal, Ramakrishnan Srikant:
Mining Sequential Patterns.
ICDE 1995: 3-14@inproceedings{DBLP:conf/icde/AgrawalS95,
author = {Rakesh Agrawal and
Ramakrishnan Srikant},
editor = {Philip S. Yu and
Arbee L. P. Chen},
title = {Mining Sequential Patterns},
booktitle = {Proceedings of the Eleventh International Conference on Data
Engineering, March 6-10, 1995, Taipei, Taiwan},
publisher = {IEEE Computer Society},
year = {1995},
isbn = {0-8186-6910-1},
pages = {3-14},
ee = {db/conf/icde/AgrawalS95.html},
crossref = {DBLP:conf/icde/95},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Copyright © 1995 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
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BibTeX
Printed Edition
Philip S. Yu, Arbee L. P. Chen (Eds.):
Proceedings of the Eleventh International Conference on Data Engineering, March 6-10, 1995, Taipei, Taiwan.
IEEE Computer Society 1995, ISBN 0-8186-6910-1
Contents BibTeX
References
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- Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami:
Mining Association Rules between Sets of Items in Large Databases.
SIGMOD Conference 1993: 207-216 BibTeX
- [2]
- Rakesh Agrawal, Ramakrishnan Srikant:
Fast Algorithms for Mining Association Rules in Large Databases.
VLDB 1994: 487-499 BibTeX
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Discovering Patterns in Sequences of Events.
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Color Set Size Problem with Application to String Matching.
CPM 1992: 230-243 BibTeX
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- Jason Tsong-Li Wang, Gung-Wei Chirn, Thomas G. Marr, Bruce A. Shapiro, Dennis Shasha, Kaizhong Zhang:
Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results.
SIGMOD Conference 1994: 115-125 BibTeX
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Fast Text Searching Allowing Errors.
Commun. ACM 35(10): 83-91(1992) BibTeX
Referenced by
- Themistoklis Palpanas:
Knowledge Discovery in Data Warehouses.
SIGMOD Record 29(3): 88-100(2000)
- Jiawei Han, Jian Pei, Yiwen Yin:
Mining Frequent Patterns without Candidate Generation.
SIGMOD Conference 2000: 1-12
- Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim:
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints.
VLDB 1999: 223-234
- Jiawei Han, Guozhu Dong, Yiwen Yin:
Efficient Mining of Partial Periodic Patterns in Time Series Database.
ICDE 1999: 106-115
- Kin-pong Chan, Ada Wai-Chee Fu:
Efficient Time Series Matching by Wavelets.
ICDE 1999: 126-133
- Marek Wojciechowski:
Mining Various Patterns in Sequential Data in an SQL-like Manner.
ADBIS (Short Papers) 1999: 131-138
- Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzewicz:
Pattern-Oriented Hierachical Clustering.
ADBIS 1999: 179-190
- Ming-Syan Chen, Jong Soo Park, Philip S. Yu:
Efficient Data Mining for Path Traversal Patterns.
IEEE Trans. Knowl. Data Eng. 10(2): 209-221(1998)
- Colin L. Carter, Howard J. Hamilton:
Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases.
IEEE Trans. Knowl. Data Eng. 10(2): 193-208(1998)
- Claudio Bettini, Xiaoyang Sean Wang, Sushil Jajodia, Jia-Ling Lin:
Discovering Frequent Event Patterns with Multiple Granularities in Time Sequences.
IEEE Trans. Knowl. Data Eng. 10(2): 222-237(1998)
- Alex G. Büchner, Maurice D. Mulvenna:
Discovering Internet Marketing Intelligence through Online Analytical Web Usage Mining.
SIGMOD Record 27(4): 54-61(1998)
- Claudio Bettini, Xiaoyang Sean Wang, Sushil Jajodia:
Mining Temporal Relationships with Multiple Granularities in Time Sequences.
IEEE Data Eng. Bull. 21(1): 32-38(1998)
- Charu C. Aggarwal, Philip S. Yu:
Mining Large Itemsets for Association Rules.
IEEE Data Eng. Bull. 21(1): 23-31(1998)
- KianSing Ng, Huan Liu, HweeBong Kwah:
A Data Mining Application: Customes Retention at the Port of Singapore Authority (PSA).
SIGMOD Conference 1998: 522-525
- Roberto J. Bayardo Jr.:
Efficiently Mining Long Patterns from Databases.
SIGMOD Conference 1998: 85-93
- Charu C. Aggarwal, Philip S. Yu:
Online Generation of Association Rules.
ICDE 1998: 402-411
- Rakesh Agrawal, Dimitrios Gunopulos, Frank Leymann:
Mining Process Models from Workflow Logs.
EDBT 1998: 469-483
- Jong Soo Park, Ming-Syan Chen, Philip S. Yu:
Using a Hash-Based Method with Transaction Trimming for Mining Association Rules.
IEEE Trans. Knowl. Data Eng. 9(5): 813-825(1997)
- Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur:
Dynamic Itemset Counting and Implication Rules for Market Basket Data.
SIGMOD Conference 1997: 255-264
- Dimitrios Gunopulos, Heikki Mannila, Sanjeev Saluja:
Discovering All Most Specific Sentences by Randomized Algorithms.
ICDT 1997: 215-229
- Ming-Syan Chen, Jiawei Han, Philip S. Yu:
Data Mining: An Overview from a Database Perspective.
IEEE Trans. Knowl. Data Eng. 8(6): 866-883(1996)
- Rosa Meo, Giuseppe Psaila, Stefano Ceri:
A New SQL-like Operator for Mining Association Rules.
VLDB 1996: 122-133
- Ramakrishnan Srikant, Rakesh Agrawal:
Mining Sequential Patterns: Generalizations and Performance Improvements.
EDBT 1996: 3-17
- Jiawei Han, Yongjian Fu:
Discovery of Multiple-Level Association Rules from Large Databases.
VLDB 1995: 420-431
- Jong Soo Park, Ming-Syan Chen, Philip S. Yu:
An Effective Hash Based Algorithm for Mining Association Rules.
SIGMOD Conference 1995: 175-186
- Jong Soo Park, Ming-Syan Chen, Philip S. Yu:
Efficient Parallel and Data Mining for Association Rules.
CIKM 1995: 31-36
BibTeX
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