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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Action Rule Extraction from a Decision Table: ARED
Seunghyun Im, Zbigniew W. Raś
Springer eBooks (2008), pp. 160-168
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Histograms as tools for mining actionable knowledge – principles and examples
Jan Rauch
Journal of Intelligent Information Systems (2025)
Closed Access
Association Action Rules
Zbigniew W. Raś, Agnieszka Dardzińska, Li-Shiang Tsay, et al.
IEEE ... International Conference on Data Mining workshops (2008), pp. 283-290
Closed Access | Times Cited: 72
Action Rules Discovery without Pre-existing Classification Rules
Zbigniew W. Raś, Agnieszka Dardzińska
Lecture notes in computer science (2008), pp. 181-190
Closed Access | Times Cited: 36
From data to classification rules and actions
Zbigniew W. Raś, Agnieszka Dardzińska
International Journal of Intelligent Systems (2011) Vol. 26, Iss. 6, pp. 572-590
Open Access | Times Cited: 32
SCARI: Separate and conquer algorithm for action rules and recommendations induction
Marek Sikora, Paweł Matyszok, Łukasz Wróbel
Information Sciences (2022) Vol. 607, pp. 849-868
Open Access | Times Cited: 12
Distributed Action-Rule Discovery Based on Attribute Correlation and Vertical Data Partitioning
Aileen Benedict, Zbigniew W. Raś
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1270-1270
Open Access | Times Cited: 2
Action Rules and the GUHA Method: Preliminary Considerations and Results
Jan Rauch, Milan Šimůnek
Lecture notes in computer science (2009), pp. 76-87
Closed Access | Times Cited: 28
Association Action Rules and Action Paths Triggered by Meta-actions
Angelina A. Tzacheva, Zbigniew W. Raś
(2010) Vol. 223, pp. 772-776
Closed Access | Times Cited: 26
MR - Random Forest Algorithm for Distributed Action Rules Discovery
Angelina A. Tzacheva, Arunkumar Bagavathi, Punniya D. Ganesan
International Journal of Data Mining & Knowledge Management Process (2016) Vol. 6, Iss. 5, pp. 15-30
Open Access | Times Cited: 18
Action Rules Discovery Based on Tree Classifiers and Meta-actions
Zbigniew W. Raś, Agnieszka Dardzińska
Lecture notes in computer science (2009), pp. 66-75
Closed Access | Times Cited: 22
Support confidence and utility of action rules triggered by meta-actions
Angelina A. Tzacheva, Chandra C. Sankar, Sridharan Ramachandran, et al.
(2016), pp. 113-120
Closed Access | Times Cited: 13
Action Rules for Sentiment Analysis on Twitter Data Using Spark
Jaishree Ranganathan, Allen S. Irudayaraj, Angelina A. Tzacheva
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2017), pp. 51-60
Closed Access | Times Cited: 13
SARGS method for distributed actionable pattern mining using spark
Arunkumar Bagavathi, Pranava Mummoju, Katarzyna A. Tarnowska, et al.
2021 IEEE International Conference on Big Data (Big Data) (2017), pp. 4272-4281
Closed Access | Times Cited: 13
High-Performance Actionable Knowledge Miner for Boosting Business Revenue
Katarzyna A. Tarnowska, Arunkumar Bagavathi, Zbigniew W. Raś
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12393-12393
Open Access | Times Cited: 7
Actionable pattern discovery for Sentiment Analysis on Twitter Data in clustered environment
Jaishree Ranganathan, Allen S. Irudayaraj, Arunkumar Bagavathi, et al.
Journal of Intelligent & Fuzzy Systems (2018) Vol. 34, Iss. 5, pp. 2849-2863
Closed Access | Times Cited: 9
Meta-actions as a Tool for Action Rules Evaluation
Hakim Touati, Zbigniew W. Raś, James Studnicki
Studies in computational intelligence (2014), pp. 177-197
Closed Access | Times Cited: 8
Mining of Frequent Action Rules
Agnieszka Dardzińska, Anna Romaniuk
Studies in big data (2016), pp. 87-95
Closed Access | Times Cited: 7
An overview of actionable knowledge discovery techniques
Nasrin Kalanat
Journal of Intelligent Information Systems (2021) Vol. 58, Iss. 3, pp. 591-611
Closed Access | Times Cited: 7
Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules
Arunkumar Bagavathi, Abhishek Tripathi, Angelina A. Tzacheva, et al.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2018), pp. 32-39
Closed Access | Times Cited: 7
FAARM: Frequent Association Action Rules Mining Using FP-Tree
Djellel Difallah, Ryan Benton, Vijay V. Raghavan, et al.
(2011), pp. 398-404
Closed Access | Times Cited: 5
MR-Apriori count distribution algorithm for parallel Action Rules discovery
Angelina A. Tzacheva, Midhun M. Sunny, Pranava Mummoju
(2016), pp. 127-132
Closed Access | Times Cited: 4
Tree-Based Algorithms for Action Rules Discovery
Zbigniew W. Raś, Li-Shiang Tsay, Agnieszka Dardzińska
Studies in computational intelligence (2008), pp. 153-163
Closed Access | Times Cited: 5
Reclassification Rules
Li-Shiang Tsay, Zbigniew W. Raś, Seunghyun Im
IEEE ... International Conference on Data Mining workshops (2008), pp. 619-627
Closed Access | Times Cited: 5
Discovery of Actionable Patterns Through Scalable Vertical Data Split Method with Meta Actions and Information Granules
Angelina A. Tzacheva, Sanchari Chatterjee, Zbigniew W. Raś
International Journal of Data Mining & Knowledge Management Process (2024) Vol. 14, Iss. 1/2, pp. 17-42
Open Access
A Multi-Objective Evolutionary Action Rule Mining Method
Grant Daly, Ryan Benton, Tom Johnsten
2022 IEEE Congress on Evolutionary Computation (CEC) (2018), pp. 1-8
Closed Access | Times Cited: 3
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