ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

Cyclic Association Rules.

Banu Özden, Sridhar Ramaswamy, Abraham Silberschatz: Cyclic Association Rules. ICDE 1998: 412-421
@inproceedings{DBLP:conf/icde/OzdenRS98,
  author    = {Banu {\"O}zden and
               Sridhar Ramaswamy and
               Abraham Silberschatz},
  title     = {Cyclic Association Rules},
  booktitle = {Proceedings of the Fourteenth International Conference on Data
               Engineering, February 23-27, 1998, Orlando, Florida, USA},
  publisher = {IEEE Computer Society},
  year      = {1998},
  isbn      = {0-8186-8289-2},
  pages     = {412-421},
  ee        = {db/conf/icde/OzdenRS98.html},
  crossref  = {DBLP:conf/icde/98},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1998 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

CDROM Version: Load the CDROM "Volume 2 Issue 7, ICDE 1996-1998, PDIS, Hypertext, ACL DL" and ... DVD Version: Load ACM SIGMOD Anthology DVD 1" and ...

Printed Edition

Proceedings of the Fourteenth International Conference on Data Engineering, February 23-27, 1998, Orlando, Florida, USA. IEEE Computer Society 1998, ISBN 0-8186-8289-2
Contents CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML

References

[AIS93]
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[AS94]
Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[FMMT96]
Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization. SIGMOD Conference 1996: 13-23 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[HF95]
Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[PCY95]
Jong Soo Park, Ming-Syan Chen, Philip S. Yu: An Effective Hash Based Algorithm for Mining Association Rules. SIGMOD Conference 1995: 175-186 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[RMS97]
...
[SA95]
Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[SA96]
Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conference 1996: 1-12 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[SON95]
Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: An Efficient Algorithm for Mining Association Rules in Large Databases. VLDB 1995: 432-444 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[Toi96]
Hannu Toivonen: Sampling Large Databases for Association Rules. VLDB 1996: 134-145 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML

Referenced by

  1. Rajeev Rastogi, Kyuseok Shim: Mining Optimized Support Rules for Numeric Attributes. ICDE 1999: 206-215
  2. Jiawei Han, Guozhu Dong, Yiwen Yin: Efficient Mining of Partial Periodic Patterns in Time Series Database. ICDE 1999: 106-115
  3. Changjie Tang, Zhonghua Yu, Tianqing Zhang: Discover Relaxed Periodicity in Temporal Databases. DASFAA 1999: 203-209
  4. Charu C. Aggarwal, Philip S. Yu: Mining Large Itemsets for Association Rules. IEEE Data Eng. Bull. 21(1): 23-31(1998)
  5. Sridhar Ramaswamy, Sameer Mahajan, Abraham Silberschatz: On the Discovery of Interesting Patterns in Association Rules. VLDB 1998: 368-379
  6. Soumen Chakrabarti, Sunita Sarawagi, Byron Dom: Mining Surprising Patterns Using Temporal Description Length. VLDB 1998: 606-617
  7. Dao-I Lin, Zvi M. Kedem: Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set. EDBT 1998: 105-119

Copyright © Mon Nov 2 20:43:59 2009 by Michael Ley (ley@uni-trier.de)