Whither Data Mining?
Summary: A retrospective on a decade of data-mining progress, centered on association-rule discovery. It distills lessons from these advances and identifies open challenges and opportunities shaping the field’s next phase. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Rakesh Agrawal (IBM)
- 2. Ramakrishnan Srikant (IBM)
BibTeX Citation
@article{agrawal_vldb04,
title = {{Whither Data Mining?}},
author = {Agrawal, Rakesh and Srikant, Ramakrishnan},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {9--10},
doi = {10.1016/B978-012088469-8.50004-8},
url = {https://doi.org/10.1016/B978-012088469-8.50004-8},
year = {2004}
}
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 606 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD |
| 2 | 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD |
| 3 | 6,923 | Integration of Data Mining and Relational Databases | 2000 | VLDB |
| 4 | 456 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB |
| 5 | 558 | An Efficient Algorithm for Mining Association Rules in Large Databases | 1995 | VLDB |
| 6 | 13,712 | Database Systems Research on Data Mining | 2010 | SIGMOD |
| 7 | 13,019 | Tutorial Database Mining | 1994 | PODS |
| 8 | 4,154 | A New SQL-like Operator for Mining Association Rules | 1996 | VLDB |
| 9 | 14,219 | Data Mining Techniques | 1996 | SIGMOD |
| 10 | 14,311 | Quest: A Project on Database Mining | 1994 | SIGMOD |