Angelina A. Tzacheva

According to our database1, Angelina A. Tzacheva authored at least 29 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Action rules for sentiment analysis using Twitter.
Int. J. Soc. Netw. Min., 2020

Emotion mining from text for actionable recommendations detailed survey.
Int. J. Data Min. Model. Manag., 2020

Action Rules of Lowest Cost and Action Set Correlations.
Fundam. Informaticae, 2020

Hybrid Scalable Action Rule: Rule Based and Object Based.
Proceedings of the ICCDA 2020: The 4th International Conference on Compute and Data Analysis, 2020

2019
Emotion Mining in Social Media Data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Scalable Action Mining for Recommendations to Reduce Hospital Readmission.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019

Actionable Pattern Discovery for Tweet Emotions.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2019

2018
Actionable pattern discovery for Sentiment Analysis on Twitter Data in clustered environment.
J. Intell. Fuzzy Syst., 2018

Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Automatic detection of emotions in Twitter data: a scalable decision tree classification method.
Proceedings of the RevOpiD@HT 2018 Workshop on Opinion Mining, 2018

Data distribution method for scalable actionable pattern mining.
Proceedings of the First International Conference on Data Science, 2018

In Search of Actionable Patterns of Lowest Cost - A Scalable Action Graph Method.
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017
Discovery of Action Rules at Lowest Cost in Spark.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Action Rules for Sentiment Analysis on Twitter Data Using Spark.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

SARGS method for distributed actionable pattern mining using spark.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2013
Ontology Database System and Triggers.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012
Automatic detection of emotions with music files.
Int. J. Soc. Netw. Min., 2012

Rule schemas and interesting association action rules mining.
Int. J. Data Min. Model. Manag., 2012

2010
Summaries of Action Rules by Agglomerative Clustering.
Proceedings of the Advances in Intelligent Information Systems, 2010

Association Action Rules and Action Paths Triggered by Meta-actions.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Music Information Retrieval with Temporal Features and Timbre.
Proceedings of the Active Media Technology, 6th International Conference, 2010

2007
Constraint Based Action Rule Discovery with Single Classification Rules.
Proceedings of the Rough Sets, 2007

Data Confidentiality Versus Chase.
Proceedings of the Rough Sets, 2007

2005
Action rules mining.
Int. J. Intell. Syst., 2005

Mining for Interesting Action Rules.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

2004
In Search for Action Rules of the Lowest Cost.
Proceedings of the Monitoring, Security, and Rescue Techniques in Multiagent Systems, 2004

2003
Discovering Semantic Inconsistencies to Improve Action Rules Mining.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

Discovering Non-Standard Semantics of Semi-Stable Attributes.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002
Document image matching using a maximal grid approach.
Proceedings of the Document Recognition and Retrieval IX, 2002


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