M. Stonebraker, R. Agrawal, U. Dayal, E. Nuehold, and A. Reuter. Database research at a crossroads: The vienna update. In Proceedings of the 19th International Conference on Very Large Data Bases, pages 688--192, Dublin, Ireland, August 1993.  Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Mining for Strong Negative Associations in a Large Database.. - Ashok Savasere (1998) (8 citations) (Correct)
....decision making. e.g. see [3] Data mining is defined as the process of finding hidden, nontrivial and previously unknown information from a large collection of data [10] It has been recognized as one of the promising areas of research encompassing databases, statistics and machine learning [6, 12, 15]. Recently, there has been considerable interest in finding associations between items in a database of customer transactions, such as the sales data collected at super market check out counters [1, 2, 5, 7, 11, 8, 14, 4] Association rules identify items that are most often bought along with ....
M. Stonebraker, R. Agrawal, U. Dayal, E. Nuehold, and A. Reuter. Database research at a crossroads: The vienna update. In Proceedings of the 19th International Conference on Very Large Data Bases, pages 688--192, Dublin, Ireland, August 1993.
An Efficient Algorithm for Mining Association Rules in Large.. - Ashok Savasere (1995) (16 citations) (Correct)
....sales trends, etc, can be learned from analyzing point of sales data at supermarkets. This information may be used for retaining market leadership by tuning to the needs of customers. Database mining is motivated by such decision support problems and is described as an important area of research [11, 12]. One of the most difficult problems in database mining is the large volume of data that needs to be handled. In a medium sized business, it is not uncommon to collect hundreds of megabytes to a few gigabytes of data. Database mining applications often perform long running, complex data analysis ....
M. Stonebraker, R. Agrawal, U. Dayal, E. Nuehold, and A. Reuter. Database research at a crossroads: The vienna update. In Proceedings of the 19th International Conference on Very Large Data Bases, pages 688--192, Dublin, Ireland, August 1993.
Online Processing Redux - Hellerstein (1 citation) (Correct)
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Michael Stonebraker, Rakesh Agrawal, Umeshwar Dayal, Erich J. Neuhold, and Andreas Reuter. Database Research at the Crossroads: The Vienna Update. In Proc. 19th International Conference on Very Large Data Bases, pages 688--692, Dublin, August 1993.
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