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A Database Perspective on Knowledge Discovery.

Tomasz Imielinski, Heikki Mannila: A Database Perspective on Knowledge Discovery. Commun. ACM 39(11): 58-64(1996)
@article{DBLP:journals/cacm/ImielinskiM96,
  author    = {Tomasz Imielinski and
               Heikki Mannila},
  title     = {A Database Perspective on Knowledge Discovery},
  journal   = {Commun. ACM},
  volume    = {39},
  number    = {11},
  year      = {1996},
  pages     = {58-64},
  ee        = {db/journals/cacm/ImielinskiM96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

The concept of data mining as a querying process and the first steps toward efficient development of knowledge discovery applications are discussed.

Copyright © 1996 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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References

[1]
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, Tomasz Imielinski, Arun N. Swami: Database Mining: A Performance Perspective. IEEE Trans. Knowl. Data Eng. 5(6): 914-925(1993) BibTeX
[3]
Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, A. Inkeri Verkamo: Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining 1996: 307-328 BibTeX
[4]
Rakesh Agrawal, Kyuseok Shim: Developing Tightly-Coupled Data Mining Applications on a Relational Database System. KDD 1996: 287-290 BibTeX
[5]
Luc De Raedt, Maurice Bruynooghe: A Theory of Clausal Discovery. IJCAI 1993: 1058-1063 BibTeX
[6]
Usama M. Fayyad, Padhraic Smyth, Nicholas Weir, S. George Djorgovski: Automated Analysis and Exploration of Image Databases: Results, Progress, and Challenges. J. Intell. Inf. Syst. 4(1): 7-25(1995) BibTeX
[7]
Jim Gray, Adam Bosworth, Andrew Layman, Hamid Pirahesh: Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total. ICDE 1996: 152-159 BibTeX
[8]
Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen: Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996: 115-122 BibTeX
[9]
...
[10]
Tomasz Imielinski, Aashu Virmani, Amin Abdulghani: DataMine: Application Programming Interface and Query Language for Database Mining. KDD 1996: 256-262 BibTeX
[11]
Rosa Meo, Giuseppe Psaila, Stefano Ceri: A New SQL-like Operator for Mining Association Rules. VLDB 1996: 122-133 BibTeX
[12]
Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe: An Efficient Algorithm for Mining Association Rules in Large Databases. VLDB 1995: 432-444 BibTeX
[13]
Wei-Min Shen, KayLiang Ong, Bharat G. Mitbander, Carlo Zaniolo: Metaqueries for Data Mining. Advances in Knowledge Discovery and Data Mining 1996: 375-398 BibTeX

Referenced by

  1. Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng: The 3W Model and Algebra for Unified Data Mining. VLDB 2000: 21-32
  2. Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Teresa Mah: Exploratory Mining via Constrained Frequent Set Queries. SIGMOD Conference 1999: 556-558
  3. Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang: Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference 1999: 157-168
  4. Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan: A Framework for Measuring Changes in Data Characteristics. PODS 1999: 126-137
  5. Jean-François Boulicaut, Patrick Marcel, Christophe Rigotti: Query Driven Knowledge Discovery in Multidimensional Data. DOLAP 1999: 87-93
  6. Marek Wojciechowski: Mining Various Patterns in Sequential Data in an SQL-like Manner. ADBIS (Short Papers) 1999: 131-138
  7. Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal: Integrating Mining with Relational Database Systems: Alternatives and Implications. SIGMOD Conference 1998: 343-354
  8. Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang: Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998: 13-24
  9. Marek Wojciechowski, Maciej Zakrzewicz: Itemset Materializing for Fast Mining of Association Rules. ADBIS 1998: 284-295
  10. Tomasz Imielinski, Aashu Virmani: Association Rules... and What's Next? Towards Second Generation Data Mining Systems. ADBIS 1998: 6-25
  11. Heikki Mannila: Methods and Problems in Data Mining. ICDT 1997: 41-55
  12. Tadeusz Morzy, Maciej Zakrzewicz: SQL-Like Language for Database Mining. ADBIS 1997: 311-317
BibTeX
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