Angelina A. Tzacheva, PhD

Tzacheva, A.A., Chatterjee S., Ras, Z.W., “Cloud Mining Actionable Pattern Discovery In Big Data : A Survey”, in Transactions on Machine Learning and Artificial Intelligence (TMLAI), Vol.10, No.3,June  2022  , pp.42-102 ,
 https://doi.org/10.14738/tmlai.103.2022,
https://journals.scholarpublishing.org/index.php/TMLAI/issue/view/406

Tzacheva, A., Easwaran, A., "Modified Hybrid Scalable Action Rule Mining for Emotion Detection in Student Survey Data", International Conference on Data Mining, Big Data, Database and Data Technologies, January 21-22, 2022 in Paris, France, pp. 13 - 19

Tzacheva, A., Easwaran, A., "Emotion Detection and Opinion Mining from Student Comments for Teaching Innovation Assessment", International Journal of Education (IJE), Vol. 9,  No. 2, June 2021, pp. 21 - 32. https://doi.org/10.5121/ije2021.9203

Tzacheva, A., Easwaran, A., Jadhav, P., "Detecting and Improving Student Emotions using Actionable Pattern Discovery in Student Survey Data", Advances in Engineering : an International Journal (ADEIJ), 2021, Vol. 9, No. 2, pp. 29 - 42. https://airccse.com/adeij/papers/3221adeij04.pdf

Ranganathan, J., Shanmugakani Velsamy, M.P., Kulkarni,S., Tzacheva, A.A., "Emotion Classification using Recurrent Neural Network and Scalable Pattern Mining", in Proceedings of the International Conference on Data Mining, Big Data, Database and Data Management (ICDMBDDDM 2021), New York, United States, January 2021, pp. 1439 - 1444

Ranganathan, J., Rajurkar, P., Tzacheva, A.A., Ras, Z., "Emotion Mining and Attribute Selection for Actionable Recommendations - to Improve Customer Satisfaction", in Proceedings of the International Conference on Knowledge Discovery and Management (ICKDM 2021), Amsterdam, Netherlands, February 2021,  pp.  249 - 257

Tzacheva,A.A., Ranganathan, J., "Pattern Discovery from Student Feedback - Identifying Factors to Improve Student Emotions in Learning", in Proceedings of the International Conference on Emerging Trends in Higher Education (ICETHE 2021), Zurich , Switzerland, January 2021 pp. 298 - 303

Ranganathan, J., Tzacheva, A.A., "Student Evaluations in Teaching – Emotion Classification Using Neural Networks" , in Proceedings of the 8th European Conference on Education (ECE2020),  IAFOR.ORG | ECE/ECLL2020, London, United Kingdom, July 2020, pp. 64
https://issuu.com/iafor/docs/ece-programme-2020

Ranganathan, J., Tzacheva, A.A., "Emotion Mining from Text for Actionable Recommendations Detailed Survey" ,International Journal of Data Mining, Modelling and Management (IJDMMM), INDERSCIENCE, Vol. 12, No.1, 2020.

Tzacheva, A., Shankar, A.R., Ramachandran, S., Bagavathi, A., "Action Rules of Lowest Cost and Action Set Correlations",in Fundamenta Informaticae Journal, European Association for Theoretical Computer Science (EATCS), IOS Press, Vol. 172, No. 1, 2020, pp. 1-14, DOI: 10.3233/FI-2020-1890.

Ranganathan, J., Tzacheva, A.A., "Emotion Mining in Social Media Data" , in Proceedings of 23rd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES2019), 2019, Budapest, Hungary, Procedia Computer Science Journal, Elsevier, Vol. 159, 2019, pp. 58-66 https://www.sciencedirect.com/science/article/pii/S1877050919313389/pdf?md5=b0d00c7b99ff09adf4d31a5a16fea728&pid=1-s2.0-S1877050919313389-main.pdf.

Bagavathi, A., Tzacheva, A.,"Scalable Action Mining for Recommendations to Reduce Hospital Readmission" , in Proceedings of IEEE 20th International Conference on Information Reuse and Integration for Data Science ( IRI 2019 ), 30July-01August, 2019, Lost Angeles, California, USA, pp. 159-166, ( Acceptance Rate: 23% ) DOI: http://dx.doi.org/10.1109/IRI.2019.00036.

Tzacheva, A.A., Ranganathan, J., Jadi, R., "Multi-Label Emotion Mining from Student Comments" , in Proceedings of the 4th International Conference on Information and Education Innovations (ICIEI 2019), ACM, Durham, United Kingdom, July 10-12, 2019, pp. 120-124 https://dl.acm.org/citation.cfm?id=3345112.

Tzacheva, A.A., Ranganathan, J., Mylavarapu,S.Y., "Actionable Pattern Discovery for Tweet Emotions" , in Ahram T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering, 10th International Conference on Applied Human Factors and Ergonomics (AHFE2019) 2019, Advances in Intelligent Systems and Computing, Springer Cham, vol. 965, pp. 46-57

Tzacheva, A.A., Ranganathan, J., "Emotion Mining from Student Comments A Lexicon Based Approach For Pedagogical Innovation Assessment" , in The European Journal of Education and Applied Psychology, PREMIER,  2018, No. 3, pp. 3-13, DOI: https://doi.org/10.29013/EJEAP-18-3-3-13

Tzacheva, A.A., Bagavathi, A., Datta, A.K., "In Search of Actionable Patterns of Lowest Cost - A Scalable Graph Method" , in International Journal of Database Management Systems(IJDMS), AIRCC, 2018, Vol. 10, No. 3, pp. 1-19. http://aircconline.com/ijdms/V10N3/10318ijdms01.pdf

Ranganathan, J., Bagavathi, A., Tzacheva, A.A., "Action Rules for Sentiment Analysis Using Twitter", in International Journal Social Network Mining(IJSNM), INDERSCIENCE, 2018, Vol. 1, No. 5, pp. 1-17

Tzacheva A.A., Bagavathi A., Suryanarayanaprasad C.B., "In Search of Actionable Patterns of Lowest Cost - a Scalable Action Graph Method" , IEEE 1st International Conference on Artificial Intelligence and Knowledge Engineering, 2018, Santa Ana, CA, Sept. 26-28,pp. 119-125. https://ieeexplore.ieee.org/document/8527458

Ranganathan, J., Irudayaraj, A.S., Bagavathi, A., Tzacheva, A.A., "Actionable Pattern Discovery for Sentiment Analysis on Twitter Data in clustered environment", in Journal of Intelligent & Fuzzy Systems,IOSPRESS, 2018, vol. 34, no. 5, pp. 2849-2863, DOI:10.3233/JIFS-169472. https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs169472

Bagavathi, A., Rao V., Tzacheva A.A., "Data distribution method for scalable actionable pattern mining" , In Proceedings of the First International Conference on Data Science, E-learning and Information Systems (DATA '18), 2018, Madrid, Spain, Oct. 1-3, 2018, ACM, Article 3, 7 pages. DOI: https://doi.org/10.1145/3279996.3279999

Bagavathi, A., Tripathi A., Tzacheva A.A., Ras, Z.W., "Actionable Pattern Mining - a Scalable Data Distribution Method based on information granules" , In Proceedings of IEEE 17th International Conference on Machine Learning and Applications, 2018, Orlando, Florida, Dec. 17-20, 2018 (Acceptance Rate: 33%). https://ieeexplore.ieee.org/document/8614038

Ranganathan, J., Hedge, N., Irudayaraj, A.S., Tzacheva, A.A., "Automatic Detection of Emotions in Twitter Data - A Scalable Decision Tree Classification Method", in Proceedings of RevOpID '18 workshop, 29th ACM Conference on hypertext and social media, 2018, Baltimore, USA, pp. 1-10. 

Ranganathan, J., Irudayaraj, A.S., Tzacheva, A.A., "Action Rules for Sentiment Analysis on Twitter Data using Spark", in Proceedings of International Conference on Data Mining (ICDM17), Data Science and BigData Analytics Workshop (DSBDA17), 2017, New Orleans, USA, pp. 51-60. https://doi.org/10.1145/3279996.3279999

Bagavathi, A., Mummoju, P., Tarnowska, K., Tzacheva, A. A., & Ras, Z. W. "SARGS method for distributed actionable pattern mining using spark", in Proceedings of IEEE International Conference on Big Data, 2017, pp. 4272-4281

Tzacheva, A.A., Bagavathi, A., Ayila, L. "Discovery of Action Rules at Lowest Cost in Spark", in Proceedings of International Conference on Data Mining (ICDM17), Data Science and BigData Analytics Workshop (DSBDA17), 2017, New Orleans, USA, pp. 87-94

Bagavathi, A., and Tzacheva, A. A., "Rule Based Systems in a Distributed Environment: Survey", in Proceedings of International Conference on Cloud Computing and Applications ( CCA17), 3rd World Congress on Electrical Engineering and Computer Systems and Science (EECSS’17), June 4-6, 2017 Rome, Italy, pp. 1-17

Tzacheva, A.A., Bagavathi, A., and Ganesan, P. D., "MR - Random Forest Algorithm for Distributed Action Rules Discovery", in International Journal of Data Mining & Knowledge Management Process (IJDKP), 2016, Vol. 6, No. 5., pp.15-30.

Tzacheva, A.A., Sunny, M.M., and Mummoju, P., "MR - Apriori Count Distribution Algorithm for Parallel Action Rules Discovery", in Proceedings of 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA 2016), Singapore, September 28-30, 2016, pp. 127-132

Tzacheva, A.A., Sankar, C. C., Ramachandran, S., and Shankar, R. A., "Support Confidence and Utility of Action Rules Triggered by Meta-Actions", in Proceedings of 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA 2016), Singapore, September 28-30, 2016, pp. 113-121

Tzacheva, A.A., Toland, T.S., Poole, P.H., Barnes, D.J. "Ontology Database System and Triggers", in Proceedings of The Twelfth International Symposium on Intelligent Data Analysis (IDA 2013), A. Tucker et al. (Eds.), October 17-19, 2013, Royal Statistical Society, London, United Kingdom, Springer, Heidelberg, LNCS 8207, pp. 416-426.

Tzacheva, A.A., Koenig, E.A., and Pardue, J.R. "Actions Ontology System for Action Rules Discovery in Mammographic Mass Data", in Proceeding of The 2013 International Conference on Data Mining (DMIN'13), July 22 – 25, 2013, Las Vegas, NV, USA.

Tzacheva, A.A. and Bell, K.J. "Music Information Retrieval with Polyphonic Sounds  and Timbre" in Proceedings of The 3rd International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2012), Orlando, Florida, USA, March 25-28, 2012, pp. 7-11

Tzacheva, A.A., Schlingmann, D., and Bell, K.J. "Automatic Detection of Emotions with Music Files" in International Journal of Social Network Mining (IJSNM), InderScience Publishers, 2012, Vol.1. No. 2, pp. 129-140

Tzacheva, A.A., Bell, K.J., and Miller, H.B. "Voice Activated Interactive Ambient Information Display", in Proceedings of The Fifth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2011), Lisbon, Portugal, November 20-25, 2011, pp. 67-70

Tzacheva, A.A.. "Rule Schemas and Interesting Association Action Rules Mining", International Journal of Data Mining, Modelling and Management (IJDMMM), InderScience Publishers, 2012, Vol. 4 No. 3, pp. 244-254

Tzacheva, A.A. and Ras Z.W. "Association Action Rules and Action Paths Triggered by Meta-Actions" in Proceedings of 2010 IEEE International Conference on Granular Computing (GrC 2010), P4161, Sillicon Valley, California, USA, 14-16 August 2010, pp. 772-776

Tzacheva, A.A. and Bell K.J., "Music Information Retrieval with Temporal Features and Timbre", in Proceedings of 6th International Conference on Active Media Technology (AMT 2010), Toronto, Canada, 28-30 August, 2010, LNCS 6335, pp. 212-219

Tzacheva, A.A., G-Actions Ontology Post-Processing with Action Rule Discovery, in Proceedings of 16th International Conference on Soft Computing, Brno, Czech Republic, June  23-25, 2010, pp. 198-202

Tzacheva, A.A. "Algorithm for Generalization of Action Rules to Summaries", in Special issue on Intelligent Information Processing and Web Mining, International Journal of Control and Cybernetics (invited paper), Klopotek, M. A., PrzepiÛrkowski A., Wierzchon S. T. (Eds), Systems Research Institute of Polish Academy of Sciences, Vol. 39, No. 2, 2010, pp. 457-468

Tzacheva, A.A. "Action Rule Discovery in Ontology Based Information System" Journal of the Technical University at Plovdiv, Fundamental Sciences and Applications, Vol. 14, 2009, Plovdiv, Bulgaria, 2009, pp. 353-360

Tzacheva, A.A. " Summaries of Action Rules by Agglomerative Clustering", in Advances in Intelligent Information Systems, Z.W.Ras, L.-S. Tsay (Eds), Studies in Computational Intelligence (invited book chapter), Springer, 2009, pp. 259-271

Tzacheva, A.A., "Diversity of Summaries for Interesting Action Rule Discovery", in Proceedings of: Intelligent Information Systems (IIS 2008), Springer-Verlag, Zakopane, Poland, 2008, pp. 181-190

Tzacheva, A.A. and Tsay, L.S., "Tree-based construction of low-cost action rules", in Fundamenta Informaticae Journal, European Association for Theoretical Computer Science (EATCS), IOS Press,
Vol. 86, No. 1-2, 2008, pp 213-225

Tzacheva, A.A. and Ras, Z. W., "Constraint Based Action Rule Discovery with Single Classification Rules", in the Proceedings of 2007 Joint Rough Set Symposium (JRS07) Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Springer, Toronto, Canada, May 2007, pp. 322-330

Ras, Z.W., Gurdal, O., Im, S., and Tzacheva, A.A., "Data Confidentiality Versus Chase", in the Proceedings of 2007 Joint Rough Set Symposium (JRS07) Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Springer, Toronto, Canada, May 2007, pp. 330-338

Tzacheva, A.A., Ras, Z.W., "Detecting non-standard semantics of attributes to improve confidence of action rules", in the special issue on KDD, in International Journal of Intelligent Systems, Wiley, Vol. 20, No. 7, 2005, pp. 719-736

Z. Ras, A. Tzacheva, L.-S. Tsay, and O. Gurdal, "Mining for Interesting Action Rules", in the Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2005), Compiegne University of Technology, France, 2005, pp. 187-193

Ras, Z.W., Tzacheva, A.A., Tsay, L.S., "Action rules", in Encyclopedia of Data Warehousing and Mining, (Ed. J. Wang), Idea Group Inc., 2005, 1-5

Ras, Z.W., Tzacheva, A.A., “In search for action rules of the lowest cost”, in Monitoring, Security and Rescue Techniques in Multi-agent Systems, Advances in Soft Computing, Springer-Verlag, 2005, pp. 261-272

Tzacheva, A.A., Ras, Z.W., "Discovering non-standard semantics of semi-stable attributes", in Proceedings of FLAIRS-2003, St. Augustine, Florida, USA (Eds. I. Russell, S. Haller), AAAI Press, 2003, pp. 330-334

Ras, Z.W., Tzacheva, A.A., "Discovering semantic inconsistencies to improve action rules mining", in Intelligent Information Systems 2003, Advances in Soft Computing, Proceedings of the IIS'2003 Symposium, Zakopane, Poland, Springer-Verlag, 2003, pp. 301-310

Tzacheva, A.A., Najarian, K., Brockway, J.P., "Breast Cancer Detection in Gadolinium Enhanced MR Images by Static Region Descriptors and Neural Networks", in Journal of Magnetic Resonance Imaging, Wiley, 2003

Tzacheva, A.A., El-Kwae, E.A., Kellam, J.F., "Model-based Bone Segmentation from Digital X-Ray Images", in Proceedings of the Second Joint EMBS/BMES and IEEE Engineering in Medicine and Biology, IEEE Catalog No. 02CH37392C, 23-26 October 2002, Houston, TX

Tzacheva, A.A., El-Sonbaty, Y., El-Kwae, E.A., “Document Image Matching Using a Maximal Grid Approach”, Document Recognition and Retrieval IX (EI17), in Proceedings of SPIE, Electronic Imaging 2002, January 2002, San Jose, CA , Vol. 4670, No. 4670, pp. 121-128