Professor of Computer Science, Central
Connecticut State University Address: 1615 Stanley Street, New Britain, CT 06050, USA
Phone: 860-832-2711
Fax: 860-832-2712
Office: 30307 Maria Sanford Hall
E-mail: markovz at ccsu dot edu
URL: http://www.cs.ccsu.edu/~markov/
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
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
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).
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.
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:
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 13th 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.
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.
