Zdravko Markov

Zdravko Markov, PhD

Professor of Computer Science, Central Connecticut State University
Address: 1615 Stanley Street, New Britain, CT 06050, USA
Phone: 860-832-2711
Office: 30307 Maria Sanford Hall
E-mail: markovz at ccsu dot edu

Zdravko Markov and Daniel T. Larose, Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage, Wiley, April 2007.

Buy the book from Wiley (free excerpts available: Chapter 1, TOC, Index) or Amazon.com
Download lecture slides: dmw1.pdf, dmw2.pdf, dmw3.pdf, dmw4.pdf, dmw5.pdf
Download data sets: http://www.cs.ccsu.edu/~markov/dmwdata.zip
Download software: http://www.cs.ccsu.edu/~markov/MDLclustering/, KDnuggets news
Student projects based on the book: http://www.cs.ccsu.edu/~markov/DMWprojects/

Teaching is the highest form of understanding.
- Aristotle

Spring-2025

Previous Courses

Fall-24

CS354 - Digital Systems Design
CS385 - Computer Architecture
CS483 - Theory of Computation

Summer-2024

Spring-2024

CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture
CS483 - Theory of Computation

Fall-2023

CS151 - Computer Science I
CS354 - Digital Systems Design
CS385 - Computer Architecture
CS483 - Theory of Computation

Summer-2023

CS580-Data Mining (Online course), Syllabus

Spring-2023

CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture
CS483 - Theory of Computation

Fall-2022

CS354 - Digital Systems Design
CS385 - Computer Architecture
CS483 - Theory of Computation (Section 01)
CS483 - Theory of Computation (Section 02)

Summer-2022

CS580-Data Mining (Online course), Syllabus

Spring-2022

CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture

Fall-2021

CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture
CS483 - Theory of Computation

Summer-2021

CS580-Data Mining (Online course)

Spring-2021

CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture

Fall-2020

CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture
CS483 - Theory of Computation

Summer-2020

CS580-Data Mining (Online course)

Spring-2020

CS151 - Computer Science I
CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture

Fall-2019

CS152 - Computer Science II
CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture

Summer-2019

CS580-Data Mining (Online course)

Spring-2019

CS151 - Computer Science I
CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture

Fall-2018

CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)
CS385 - Computer Architecture

Summer-2018

CS580-Data Mining (Online course)

Spring-2018

CS151 - Computer Science I
CS354 - Digital Systems Design
CS385 - Computer Architecture (Section 01)
CS385 - Computer Architecture (Section 02)

Fall-2017

Summer-2017

CS580-Data Mining (Online course)

Spring-2017

CS151 - Computer Science I (Section 01)
CS151 - Computer Science I (Section 02)
CS354 - Digital Systems Design
CS385 - Computer Architecture

Fall-2016

CS151 - Computer Science I (Section 70)
CS152 - Computer Science II (Section 02)
CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)

Summer-2016

CS580-Data Mining (Online course)

Spring-2016

CS151 - Computer Science I (Section 01)
CS151 - Computer Science I (Section 02)
CS385 - Computer Architecture

Fall-2015

CS152 - Computer Science II (Section 01)
CS152 - Computer Science II (Section 02)
CS354 - Digital Systems Design (Section 01)
CS354 - Digital Systems Design (Section 02)

Summer-2015

CS580-Data Mining (Online course)

Spring-2015

CS151 - Computer Science I (Section 01)
CS151 - Computer Science I (Section 02)
CS385 - Computer Architecture

Fall-2014

CS110 - Introduction to Internet Programming and Applications
CS151 - Computer Science I (Section 01)
CS151 - Computer Science I (Section 70)
CS354 - Digital Systems Design

Summer-2014

CS580 - Data Mining (Online course)

Spring-2014

CS110 - Introduction to Internet Programming and Applications
CS151 - Computer Science I (Section 01)
CS151 - Computer Science I (Section 02)
CS385 - Computer Architecture

Fall-2013: Sabbatical Leave
Summer-2013

CS580 - Data Mining (Online course)

Spring-2013

CS110 - Introduction to Internet Programming and Applications
CS151 - Computer Science I
CS385 - Computer Architecture

Fall-2012

CS151 - Computer Science I (Section 01)
CS151 - Computer Science I (Section 70)
CS354 - Digital Systems Design
CS502 - Computing and Communication Technology

Summer-2012

CS580 - Data Mining (Online course)

Spring-2012

CS110 (Section 01) - Introduction to Internet Programming and Applications
CS110 (Section 03) - Introduction to Internet Programming and Applications
CS151 - Computer Science I
CS385 - Computer Architecture

Fall-2011

CS151 - Computer Science I
CS354 - Digital Systems Design
CS502 - Computing and Communication Technology

Summer-2011

CS580 - Data Mining (Online course)

Spring-2011

CS113 - Introduction to Computers
CS151 - Computer Science I (Section 02)
CS151 - Computer Science I (Section 70)
CS385 - Computer Architecture

Fall-2010

CS113 - Introduction to Computers
CS151 - Computer Science I
CS354 - Digital Systems Design
CS502 - Computing and Communication Technology

Summer-2010

CS580 - Data Mining (Online course)
CS570 - Machine Learning (Online course), Syllabus

Spring-2010

CS151 - Computer Science I
CS385 - Computer Architecture
CS 501 - Foundations of Computer Science

Fall-2009

CS110 - Introduction to Internet Programming and Applications
CS354 - Digital Systems Design
CS502 - Computing and Communication Technology

Spring-2009

CS113 - Introduction to Computers
CS151 - Computer Science I
CS385 - Computer Architecture

Fall-2008

CS152 - Computer Science II
CS354 - Digital Systems Design
CS580 - Web Mining

Summer-2008

CS580 - Data Mining (Vista online course)
CS570 - Machine Learning (Vista online course), Syllabus

Spring-2008

CS110 - Introduction to Internet Programming and Applications
CS113 - Introduction to Computers
CS502 - Computing and Communication Technology
CS152 - Computer Science II

Fall-2007

CS113 - Introduction to Computers
CS152 - Computer Science II
CS354 - Digital Systems Design
CS580 - Web Mining

Summer-2007

CS580 - Data Mining (Vista online course)
CS570 - Machine Learning (Vista online course), Syllabus

Spring-2007

CS113 - Introduction to Computers
CS385 - Computer Architecture
CS502 - Computing and Communication Technology

Fall-2006

CS354 - Digital Systems Design
CS502 - Computing and Communication Technology
CS113 - Introduction to Computers (Sections 71, 72)

Fall-2005, Spring-2006: Sabbatical Leave
Summer-2005

CS580 - Topics in Data Bases: Data Mining (graduate course taught online through OnlineCSU)

Spring-2005

CS385 - Computer Architecture
CS462 - Artificial Intelligence
CS502 - Computing and Communication Technology

Fall-2004

CS354 - Digital Systems Design
CS502 - Computing and Communication Technology
CS580 - Web Mining

Summer-2004

CS580 - Topics in Data Bases: Data Mining (graduate course taught online through OnlineCSU)

Spring-2004

CS385 - Computer Architecture
CS502 - Computing and Communication Technology (graduate course in the CIT program)
CS570 - Topics in AI: Machine Learning (graduate course taught online through OnlineCSU)

Fall-2003

CS213 - Applications of computer programming
CS502 - Computing and Communication Technology (graduate course in the CIT program)
CS580 - Tpcs in Data Bases: Data Mining (graduate course in the CIT program)

Summer-2003

CS570 - Topics in AI: Machine Learning (graduate course)
CS580 - Topics in Data Bases: Data Mining (online class available through OnlineCSU)

Spring-2003

CS385 - Computer Architecture
CS502 - Computing and Communication Technology (graduate course in the CIT program)
CS 580 - Topics in Data Bases: Data Mining (online class taught through OnlineCSU)

Fall-2002

CS213 - Applications of computer programming
CS354 - Digital Systems Design
CS502 - Computing and Communication Technology (graduate course in the CIT program)

Summer-2002

CS580 - Tpcs in Data Bases: Data Mining (graduate course in the CIT program)

Spring-2002

CS254 - Computer organization and assembly language programming
CS385 - Computer Architecture
CS502 - Computing and Communication Technology (graduate course in the CIT program)

Fall-2001

CS502 - Computing and Communication Technology (graduate course in the CIT program)
CS570 - Topics in AI: Machine Learning (graduate course in the CIT program)
CS354 - Digital Systems Design

Summer-2001

CS580 - Data Mining (graduate course in the CIT program)
CS580 - Data Mining, online class taught through the OnlineCSU system

Spring-2001

CS254 - Computer organization and assembly language programming
CS385 – Computer Architecture
CS502 - Computing and Communication Technology (graduate course in the CIT program)

Fall-2000

CS254 - Computer organization and assembly language programming
CS354 - Digital Systems Design
CS502 - Computing and Communication Technology

Summer-2000

Spring-2000

CS254 - Computer organization and assembly language programming
CS385 - Computer Architecture
CS502 - Computing and Communication Technology

Fall-1999

CS254 - Computer organization and assembly language programming
CS354 - Digital Systems Design
CS502 - Computing and Communication Technology

Spring-1999

CS161 - C programming
CS213 - Applications of computer programming
CS385 - Computer Architecture

Research

My research interests are mainly in the field of Machine Learning and more specifically in Data/Web Mining, MDL Learning, and Clustering. My previous research was in Logic Programming and Inductive Logic Programming. For results see bibliography and software.

Useful links

Talks, tutorials

Ingrid Russell, Zdravko Markov. An Introduction to the Weka Data Mining System. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE 2017), Seattle, WA, USA, March 8-11, 2017. ACM 2017, ISBN 978-1-4503-4698-6, 742. Abstract, PDF
Ingrid Russell, Zdravko Markov, and Susan Imberman. Project MLExAI: An Innovative Model for Teaching Core AI Concepts, NSF Showcase, SIGCSE-2016.
Markov, Z. What is Computer Science?, NHS Science National Honor Society, 2013.
Markov, Z., Ingrid Russell, Web Document Classification Project, MLeXAI Workshop, Sanibel Island, FL, May 18, 2009. http://www.cs.ccsu.edu/~markov/webdocproject-slides.pdf
Markov, Z., Ingrid Russell, An Introduction to the WEKA Data Mining System, Workshop #5 at The 39th ACM Technical Symposium on Computer Science Education (SIGCSE 2008), Portland, Oregon, March 12-15, 2008. Full text: http://www.cs.ccsu.edu/~markov/weka-tutorial.pdf
Markov, Z., I. Russell. An Introduction to the WEKA Data Mining System (tutorial), Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE06), June 26-28, 2006, Bologna, Italy, 367. (Abstract: http://www.cs.ccsu.edu/~markov/iticse-t.pdf, Full text: http://www.cs.ccsu.edu/~markov/weka-tutorial.pdf)
Markov, Z. An algebraic approach to machine learning and knowledge discovery, Mathematics Department Colloquium, CCSU, March 2000. (http://www.cs.ccsu.edu/~markov/mathcolloq2000.pdf)

Software

Some systems or programs I have developed are available on the web:

MDLclustering: Algorithms for unsupervised attribute ranking, discretization and clustering available as Java classes through a command-line interface. Available here, or from KDnuggets news.
Machine Learning Programs and Laboratory Experiments in Prolog: A collection of Prolog programs implementing popular ML algorithms along with Labs. Available here.
Artificial Intelligence Algorithms in Prolog: A collection of Prolog programs implementing popular AI algorithms. Available here.
Lambda Inductive Logic Programming (LILP): An ILP algorithm for learning from positive-only examples. Available from here (see the readme.txt file).
Lambda GENeralization (LGEN): Another algorithm for learning from positive-only examples. Available here (see the readme.txt file).
Zprolog: A command-line window Prolog interpreter. Available as a ZIP archive from here.
Net-Clause Language (NCL): A language for distributed logic programming based on term unification. Available from the CMU Artificial Intelligence Repository. Also indexed in The public-domain Prolog library.

Grants, Projects

2007-2009: Machine Learning Experiences in Artificial Intelligence: A Multi-Institutional Project, funded by a grant from the National Science Foundation (NSF DUE-0716338)
2004-2006: Machine Learning Laboratory Experiences for Introducing Undergraduates to Artificial Intelligence funded by a grant from the National Science Foundation (NSF CCLI-A&I Award Number 0409497)
1998-2001. Network of Excellence in Inductive Logic Programming (ILPnet2)
1996-1998. TRACE (INCO-COPERNICUS Project No. 96-0138)
1991-1998. ESPRIT Network of Excellence in Computational Logic (COMPULOG)
1995-1997. ESPRIT Network of Excellence in Machine Learning (MLnet)
1993-1996. PECO Pan-European Scientific Network on Inductive Logic Programming (ILPNET)

Program Committees, Conferences

Associate Editor, International Journal on Artificial Intelligence Tools (IJAIT)
PC member, The 38th International FLAIRS Conference, May 20-23, 2025, Daytona Beach, Florida
PC member, The 36th International Conference on Tools with Artificial Intelligence (ICTAI 2024), October 28-30, 2024, Herndon, USA
PC member, The 37th International FLAIRS Conference, May 19-21, 2024, Miramar Beach, Florida
PC member, 32nd International Joint Conference on Artificial Intelligence (IJCAI-2023), August 19-25, 2023, Macao SAR, China
PC member, The 36th International FLAIRS Conference, May 14-17, 2023, Clearwater Beach, Florida
PC member, 31st International Joint Conference on Artificial Intelligence (IJCAI-2022), July 23-29, 2022, Vienna, Austria
PC member, 30th International Joint Conference on Artificial Intelligence (IJCAI-2021), August, 2021, Montreal, Canada
PC member, IJCAI-PRICAI 2020, Yokohama, Japan
PC member, 28th International Joint Conference on Artificial Intelligence (IJCAI-2019), August 10-16, 2019, Macao, China
PC member, The 32th International FLAIRS Conference, May 19-22, 2019, Sarasota, Florida
Program Area Chair, 30th International Conference on Tools with Artificial Intelligence (ICTAI 2018), November 5-7, 2018, Volos, Greece
Conference Chair, The 31th International FLAIRS Conference, May 21-23, 2018, Melbourne, Florida
Program co-chair, The 30th International FLAIRS Conference, May 22-24, 2017, Marco Island, Florida
Program co-chair, The 29th International FLAIRS Conference, May 16-18, 2016, Key Largo, Florida
Special Track Coordinator, PC member, The 28th International FLAIRS Conference, May 18-20, 2015, Hollywood, Florida
PC member, The 27th International FLAIRS Conference, May 21-23, 2014, Pensacola Beach, Florida
PC member, The 26rd International FLAIRS Conference, May 22-24, 2013, St. Pete Beach, Florida
PC member, The 15th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2012), September 12-15, 2012, Varna, Bulgaria
PC member, The 25rd International FLAIRS Conference, May 23-25, 2012, Marco Island, Florida
PC member, The 24rd International FLAIRS Conference, May 18-20, 2011, Palm Beach, Florida
Co-chair, The Third International Conference on Software, Services & Semantic Technologies (S3T-2011), September 1-3, 2013, Bourgas, Bulgaria
PC member, The 23rd International FLAIRS Conference May 19-21, 2010, Daytona Beach, Florida
PC member, 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-07)
Co-chair of the Special Track on Machine Learning at FLAIRS-2007
Co-chair of the Special Track on Machine Learning at FLAIRS-2006
Program co-chair of The 18th International FLAIRS Conference (FLAIRS-2005)
Co-chair of the Special Track on Machine Learning at FLAIRS-2005
Program co-chair of The 17th International FLAIRS Conference (FLAIRS-2004)
Co-chair of the Special Track on Machine Learning, The 17th International FLAIRS Conference (FLAIRS-2004)
Chair of the Special Track on Machine Learning, The 16th International FLAIRS Conference (FLAIRS-2003)
Chair of the Special Track on Machine Learning, The 15th International FLAIRS Conference (FLAIRS-2002)
Chair of the Special Track on Machine Learning, The 14th International FLAIRS Conference (FLAIRS-2001)
PC member of AIMSA-98 Conference

Degrees and academic experience

Degrees:

Ph.D. in Computer Science (1991) from Sofia University
B.S. in Mathematics (1979) and M.S. in Computer Science (1981) from Sofia University

Academic Experience:

Bibliography

List of publications from:

Books, Book Chapters:

Zdravko Markov, Relational Learning, in Seel, Norbert (Ed.), Encyclopedia of the Sciences of Learning, Springer, 2012, ISBN: 978-1-4419-1428-6, pp.2806-2809.
Zdravko Markov and Daniel Larose, Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage, Wiley, April 2007.
Dochev, D., Ch. Dichev, Z. Markov, G. Agre. Programming in Prolog - principles and applications, Nauka i Iskustvo, Sofia, 1989 (in Bulgarian).
Markov, Z. Inductive Methods for Machine Learning, TEMPUS JEN 1497 & SOFTEX, 1996 (in Bulgarian).
Agre, G., Markov, Z., Dochev, D. Introduction to Machine Learning, TEMPUS JEN 1497 & SOFTEX, 2001 (in Bulgarian).

International Conference, Journal Papers, Editorials:

Keith Brawner, Vasile Rus, Roman Bart k, Zdravko Markov. Report on the Thirty-First International Florida Artificial Intelligence Research Society Conference (FLAIRS-31). AI Magazine 39(4): 23-24 (2018).
Vasile Rus, Zdravko Markov, Ingrid Russell. Report on the Thirtieth International Florida Artificial Intelligence Research Society Conference (FLAIRS-30). AI Magazine 38(3): 70-71 (2017).
Ingrid Russell, Zdravko Markov. An Introduction to the Weka Data Mining System. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE 2017), Seattle, WA, USA, March 8-11, 2017. ACM 2017, ISBN 978-1-4503-4698-6, 742. Abstract, PDF
Zdravko Markov, Ingrid Russell, William Eberle. Report on the 29th International Florida Artificial Intelligence Research Society Conference (FLAIRS-29). AI Magazine 37(4): 81-82 (2016).
Zdravko Markov, Ingrid Russell (Editors). FLAIRS-29 Poster Abstracts. Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016. AAAI Press 2016, ISBN 978-1-57735-756-8, 702.
Zdravko Markov, Ingrid Russell (Editors). Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016. AAAI Press 2016, ISBN 978-1-57735-756-8.
Zdravko Markov, Ingrid Russell (Editors). Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016, Key Largo, Florida, May 16-18, 2016. AAAI Press 2016, ISBN 978-1-57735-756-8.
Zdravko Markov. MDL-Based Hierarchical Clustering, Proceedings of the IEEE 14th International Conference on Machine Learning and Applications (ICMLA 2015), December 9-11, 2015, Miami, Florida, USA, pp. 464-467. PDF
Zdravko Markov. MDL-Based Unsupervised Attribute Ranking, Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference (FLAIRS-26), St. Pete Beach, Florida, USA, May 22-24, 2013, AAAI Press 2013, pp. 444-449. PDF, FLAIRS-2013 Presentation.pdf
Ingrid Russell, Susan Coleman, Zdravko Markov. A contextualized project-based approach for improving student engagement and learning in AI courses, Proceedings of Second Computer Science Education Research Conference (CSERC-12), ACM New York, NY, USA 2012, pp. 9-15, http://dl.acm.org/citation.cfm?id=2421278&CFID=238875681&CFTOKEN=58230559.
Darina Dicheva, Zdravko Markov and Eliza Stefanova (Editors). Third International Conference on Software, Services and Semantic Technologies (S3T 2011), Advances in Intelligent and Soft Computing Volume 101, Springer, 2011, DOI: 10.1007/978-3-642-23163-6. ( http://dx.doi.org/10.1007/978-3-642-23163-6)
Ingrid Russell, Zdravko Markov, Joy Dagher. A contextualized project-based approach for improving student engagement and learning in AI courses. ITiCSE 2011: 368
Russell, I., Z. Markov, T. Neller, M. and S. Coleman. MLeXAI: A Project-Based Application-Oriented Model. The ACM Transactions on Computing Education, TOCE 10(3), 2010.
Russell, I., Z. Markov. A Multi-Institutional Project-Centric Framework for Teaching AI Concepts, 39th ASEE/IEEE Frontiers in Education Conference, October 18 - 21, 2009, San Antonio, TX.
Rus, V., Russell, I., Markov, Z. (2009). MLxEAI: Biomedical Term Classification, The Journal of Computing Sciences in Colleges, 24(5), pages 85-92.
Markov, Z., L. Holder, I. Jonyer, and D. Bisant (Guest Editors). Special Issue on FLAIRS 2007: Machine Learning, Data Mining and Neural Networks, International Journal of Artificial Intelligence Tools (IJAIT), Vol. 17, No. 3 (June 2008).
Wallace, S., Ingrid Russell, and Zdravko Markov. Integrating Games and Machine Learning in the Undergraduate Computer Science Classroom, Microsoft Academic Days on Game Development in Computer Science Education (GDCSE'08), Aboard the Celebrity Century Cruise Ship, February 28 - March 3, 2008. (http://www.cs.ccsu.edu/~markov/papers/gdcse08.pdf)
Neller T., Ingrid Russell, and Zdravko Markov. Throw Down an AI Challenge, Using AI to motivate greater participation in Computer Science, AAAI Spring Symposium, Stanford University, March 26 - 28, 2008. (http://www.cs.ccsu.edu/~markov/papers/aaaiss08.pdf)
Holder, L., Z. Markov and I. Russell. Advances in Knowledge Acquisition and Representation, International Journal on Artificial Intelligence Tools (IJAIT), Vol. 15, No. 6 (2006) 867-874. (http://www.cs.ccsu.edu/~markov/papers/ijait06.pdf)
Russell, I., Z. Markov and L. Holder (Guest Editors). Special Issue on FLAIRS 2005: Knowledge Acquisition and Representation, International Journal of Artificial Intelligence Tools (IJAIT), Vol. 15, No. 6 (December 2006).
Neller T., Clifton G.M. Presser, Ingrid Russell, Zdravko Markov. Pedagogical Possibilities for the Dice Game Pig, Journal of Computing Sciences in Colleges, Vol. 21, no. 6, pp. 149-161, June 2006. (http://cs.gettysburg.edu/~tneller/papers/ccscne06.pdf)
Markov, Z., I. Russell, T. Neller, N. Zlatareva. Pedagogical Possibilities for the N-Puzzle Problem, Proceedings of the 36th Annual Frontiers in Education Conference (FIE 2006), San Diego, California, October 28 - 31, 2006. (http://www.cs.ccsu.edu/~markov/fie06.pdf)
Russell, I., Z. Markov, T. Neller. Teaching Al through Machine Learning Projects, Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE06), June 26-28, 2006, Bologna, Italy, 323. (http://www.cs.ccsu.edu/~markov/iticse-p.pdf)
Neller T., Zdravko Markov, Ingrid Russel. Clue Deduction: Professor Plum Teaches Logic, Proceedings of the 19th International FLAIRS Conference (FLAIRS-2006), Melbourne Beach, Florida, May 11-13, 2006, 214-219. (http://cs.gettysburg.edu/~tneller/papers/flairs06.pdf)
Ingrid Russell, Zdravko Markov, Lawrence B. Holder, Diane Cook: The 2005 International Florida Artificial Intelligence Research Society Conference: A Report. AI Magazine 27(1): 109-113 (2006).
Markov, Z., I. Russell, T. Neller, and S. Coleman. “Enhancing Undergraduate AI Courses through Machine Learning Projects”, Proceedings of the 35th ASEE/IEEE Frontiers in Education Conference, October 2005, Indianapolis, IN. (http://cs.gettysburg.edu/~tneller/papers/fie05.pdf)
Russell, I., Z. Markov, T. Neller, M. Georgiopoulos and S. Coleman. Unifying an Introduction to Artificial Intelligence Course through Machine Learning Laboratory Experiences, Proceedings of the 25th American Society for Engineering Education Annual Conference and Exposition, Portland, Oregon, June 12-15, 2005, ASEE Press. (http://cs.gettysburg.edu/~tneller/papers/asee05.pdf)
Ingrid Russell, Zdravko Markov (Editors): Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, Clearwater Beach, Florida, USA, AAAI Press 2005.
Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder (Editorial). International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 19(2): 129-132 (2005).
Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse. Current And Future Trends In Feature Selection And Extraction For Classification Problems, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 19(2): 133-142 (2005). (http://www.cs.ccsu.edu/~markov/ijprai05.pdf
Zdravko Markov, Valerie Barr (Guest Editors). Special Issue on Selected Papers from the 17-th International FLAIRS Conference (FLAIRS-2004), International Journal of Artificial Intelligence Tools (IJAIT), Vol. 14, No. 1 & 2, February & April 2005.
Valerie Barr, Zdravko Markov (Editors). Proceedings of the 17th International Florida Artificial Intelligence Research Symposium Conference (FLAIRS-2004), Miami Beach, Florida, AAAI Press 2004.
Russell, I., Z. Markov and N. Zlatareva. Introducing Machine Learning from an AI Perspective, Proceedings of the 13^th International Conference on Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP 2003), 469-473. (http://www.cs.ccsu.edu/~markov/icann03.pdf)
Boytcheva, S and Z. Markov. An algorithm for inducing least generalization under relative implication, in: Proceedings of FLAIRS-2002, Pensacola, Florida, May 14-16, 2002, AAAI Press, 2002, 322-326 (http://www.cs.ccsu.edu/~markov/flairs2002.pdf).
Markov, Z. An algebraic approach to inductive learning, the International Journal of Artificial Intelligence Tools (IJAIT), Vol. 10, No.1-2 (2001), 257-272. (http://www.cs.ccsu.edu/~markov/ijait01.pdf)
Markov, Z. A lattice-based approach to hierarchical clustering, in: Proceedings of FLAIRS-2001, Key West, Florida, May 21-23, 2001, AAAI Press, 2001, 389-393 (http://www.cs.ccsu.edu/~markov/flairs2001.pdf).
Markov, Z. and I. Marinchev. Coverage-based semi-distance between Horn clauses, in: S. Cerri and D. Dochev (eds.), Proceedings of AIMSA'2000, Lecture Notes in Computer Science, Vol. 1904, Springer 2000, 331-339 (http://www.cs.ccsu.edu/~markov/aimsa2000.pdf).
Markov, Z. and I. Marinchev. Metric-based inductive learning using semantic height functions, in: Ramon López de Mántaras, Enric Plaza (eds.), Proceedings of ECML-2000, Lecture Notes in Computer Science, Vol. 1810, Springer, 2000, 254-262 (http://www.cs.ccsu.edu/~markov/ecml2000.pdf).
Markov, Z. An algebraic approach to inductive learning, in: Proceedings of FLAIRS-2000, AAAI Press, 2000, 197-201 (http://www.cs.ccsu.edu/~markov/flairs2000.pdf).
Markov, Z. Generalization under Implication by lambda-Subsumption, in: David Page (ed.), Proceedings of the 8th International Workshop on Inductive Logic Programming (ILP-98), Madison, Wisconsin, USA, July 22-24, 1998, Lecture Notes in Computer Science, Vol. 1446, Springer, 1998, 215-224.
Agre, G., Ch. Dichev, Z. Markov. Task Editor - A Knowledge Acquisition Tool for Task Analysis, in: P. Navrat, H. Ueno (Eds.), Knowledge-Based Software Engineering, IOS Press, 1998, 191-194.
Markov, Z. and N. Pelov. A framework for Inductive Learning Based on Subsumption Lattices, in: F. Guinchiglia (ed.), Proceedings of AIMSA'98, Lecture Notes in Artificial Intelligence, Vol.1480, Springer, 1998, 341-352.
Markov, Z. Lambda-Subsumption and Its Application to Learning from Positive-only Examples, in: S. Muggleton (ed.), Proceedings of the 6th International Workshop on Inductive Logic Programming (ILP-96), Stockholm, August, 1996, Selected Papers, Lecture Notes in Artificial Intelligence, Vol.1314, Springer, 1997, 377-396.
Markov, Z. A Model-theoretic Approach to ILP for Learning from Positive-only Examples, in: A. Ramsay (ed.), Artificial Intelligence: Methodology, Systems, Applications, IOS Press, 1996, 41-50.
Markov, Z. Inductive Logic Programming, Problems of Engineering Cybernetic and Robotics, Vol.42, Bulgarian Academy of Sciences, 1995, 56-65.
Markov, Z. A Functional Approach to ILP, in: Luc De Raedt (ed.), Proceedings of the 5th International Workshop in Inductive Logic Programming (ILP-95), Scientific report, Department of Computer Science, K.U. Leuven, September, 1995, 267-280.
Markov, Z. and L. Sinapova. A Framework for Network Modeling, Computers and Artificial Intelligence, Vol.13 (1994), No.6, Bratislava, 577-593.
Markov, Z. Dynamic Induction in Network of Relations, in: Ph. Jorrand and V. Sgurev (Eds.), Proceedings of AIMSA'94, World Scientific, 1994, 239-246.
Markov, Z. Relational Learning by Heuristic Evaluation of Ground Data, in: S. Wrobel (Ed.), Proceedings of Fourth International Workshop on Inductive Logic Programming (ILP-94), September 12- 14, 1994, Bad Honnef/Bon, Germany, GMD-Studien Nr.237, 337-349.
Markov, Z. Inductive Inference in Networks of Relations, in: Proceedings of the Third International Workshop on Inductive Logic Programming (ILP-93), April 1-3, Bled, Slovenia, 256-277.
Sinapova, L. and Z. Markov. Grammar Representation and Parsing in a Data-Driven Logic Programming Environment, in: Proceedings of AIMSA'92, Artificial Intelligence V, North-Holland, 151-159.
Markov, Z. An approach to Concept Learning Based on Term Generalization, in: Proceeding of the 9th International Machine Learning Conference (ML92), Aberdeen, Scotland, 1-3 July, Morgan Kaufman, San Mateo CA, 1992, 310-315.
Markov, Z. A tool for building connectionist-like networks based on term unification, in: M. Richter and H. Boley (eds.), Proceedings of PDK'91, Lecture Notes in Computer Science, Vol.567, Springer-Verlag, 1991, 119-203.
Markov, Z. and Ch. Dichev. Distributed Logic Programming, in: G. Wiggins, C. Mellish and T. Duncan (eds.), Proceedings of the 3rd UK Annual Conference of Logic Programming, Edinburgh, Scotland, 1991 (Workshops in Computing, Springer-Verlag, 1991, 36-55).
Markov, Z. An Approach to Data-Driven Learning, in: Proceedings of the International Workshop on Fundamentals of Artificial Intelligence Research (FAIR'91), September 8-12, 1991, Smolenice, Czechoslovakia, Lecture Notes in Computer Science, Vol.535, Springer-Verlag, 1991, 127-140.
Sgurev V., D. Dochev, G. Agre, Ch. Dichev, Z. Markov. Diagnostic Expert Systems For Digital Electronics, in: Proceedings of the IFIP TC5/WG5.3 International Conference on Artificial Intelligence in CIM, Leningrad, April 1990, North-Holland, 1991, 220-224.
Markov, Z. and Ch. Dichev. The Net-Clause Language - A Tool for Data-Driven Inference, in: Logics in AI, Proceedings of European Workshop JELIA'90, Amsterdam, The Netherlands, September 1990, Lecture Notes in Computer Science, Vol.478, Springer-Verlag, 1991, 366-385.
Markov, Z., L. Sinapova and Ch. Dichev. Default reasoning in a network environment, in: Proceedings of the 9th European Conference on Artificial Intelligence (ECAI-90), August 6-10,1990, Stockholm, Sweden, 431-436.
Markov, Z., C. Dichev and L. Sinapova. The Net-Clause Language - a tool for describing network models, in: Proceedings of the Eighth Canadian Conference on AI (CSCSI-90), 23-25 May, 1990, Ottawa, Canada, 33-39.
Markov, Z. A Framework for Network Modeling in Prolog, in: Proceedings of IJCAI-89, Detroit, U.S.A, August 20-25, Morgan Kaufmann, 1989, 78-83. PDF
Dichev, Ch., G. Agre, D. Dochev, Z. Markov. Trigonometry Tutor, in: Proceedings of the Fourth International Annual PEG Conference "Learning with Artificial Intelligence". Uppsala, Sweden, June 16-18, 1989.
Markov Z., Th. Risse. Prolog Based Graph Representation of Polyhedra, in: Proceedings of AIMSA'88, North-Holland, 1988, 187-194.
Sgurev, V., D. Dochev, Z. Markov, Ch. Dichev, G. Agre. Knowledge representation in CAD, in: I. Plander (ed.), Artificial Intelligence and Information-Control Systems of Robots-87, North-Holland, 1987, 99-106.
Sgurev, V., D. Dochev, G. Agre, Ch. Dichev, Z. Markov. Knowledge Acquisition and Man-Machine Interface in the DIGS Expert System, in: Proceedings of AIMSA'86, North-Holland, 1987, 281-288.
Markov, Z., D. Dochev, Ch. Dichev, G. Agre. An Approach to Compiling Prolog Programs, in: Proceedings of AIMSA'86, North-Holland, 1987, 47-54.
Messina, L.A., Z. Markov. Methodisches Evaluieren von CAD- Systemen, Aktuelle Themen der Graphischen Datenverarbeitung, J.Enacarnacao (Hrsg.). Springer-Verlag 1986, 277-294.
Hubner, W., Z. Markov. GKS Based Graphics Programming in PROLOG. Computer Graphics Forum, Vol.5, No.1. North-Holland, March 1986.
Sgurev, V., D. Dochev, Ch. Dichev, G. Agre, Z. Markov. An approach to building a technical diagnostic expert system. Computers and Artificial Intelligence, Vol.5(1986), No.2, Bratislava, 103-115.
Agre, G., V. Sgurev, D. Dochev, Ch. Dichev, Z. Markov. An implementation of the expert system DIGS for diagnostics, Computers and Artificial Intelligence, Vol.4(1985), No.6, Bratislava, 495-502.
Encarnacao, J., L.A.Messina, Z. Markov. Models and Methods for Decision Support Systems for Evaluating and Choosing CAD-Systems, in: Preprints of IFIP W.G.5.2 Working Conference on Design Theory for CAD, Tokyo, October 1-3, 1985, 213-230.
Hubner, W., Z. Markov. Eine Graphik-Erweiterung fur PROLOG auf der Grundlage von GKS, in: GI, OCG, OGI JAHRESTAGUNG 1985, September, 1985, Wien, 16-20.
Sgurev, V., D. Dochev, Ch. Dichev, G. Agre, Z. Markov. A Domain Independent Expert System for Technical Diagnostics, in: Proceedings of AIMSA'84, North-Holland, 1985, 137-144.

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