Measuring influence of an item in a database over time-Reference-Cited by-同舟云学术

Measuring influence of an item in a database over time

Published:2010-02 Issue:3 Volume:31 Page:179-187
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Adhikari Jhimli,Rao P.R.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference21 articles.

1. Adhikari, A., Rao, P.R., 2007a. Study of select items in multiple databases by grouping. In: Proceedings Internat. Conf. on Artificial Intelligence, pp. 1699–1718.

2. Adhikari, A., Rao, P.R., 2007b. A framework for mining arbitrary Boolean expressions induced by frequent itemsets. In: Proceedings Internat. Conf. on Artificial Intelligence, pp. 5–23.

3. Efficient clustering of databases induced by local patterns;Adhikari;Decision Support Systems,2008

4. Mining conditional patterns in a database;Adhikari;Pattern Recognition Lett.,2008

5. Synthesizing heavy association rules in different real data sources;Adhikari;Pattern Recognition Lett.,2008

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1. F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage;Pattern Recognition;2018-12

2. Concluding Remarks;Advances in Knowledge Discovery in Databases;2014-12-28

3. Measuring Influence of an Item in Time-Stamped Databases;Advances in Knowledge Discovery in Databases;2014-12-28

4. Mining Icebergs in Different Time-Stamped Data Sources;Advances in Knowledge Discovery in Databases;2014-12-28

5. Introduction;Advances in Knowledge Discovery in Databases;2014-12-28