Fuller R., Kantardzic M., Distributed Monitoring of Frequent Items, Transactions of Machine Learning and Data Mining, Vol. 1, No. 2, 2008, pp. 67-82.

Mehmed Kantardzic, Olfa Nasraoui, Mariofanna Milanova, ed., Machine Learning and Applications, Proceedings of The 2004 International Conference ICMLA’04, IEEE Inc., December 2004.

M. Kantardzic, “ Data Mining: Concepts, Models, Methods, and Algorithms ”, IEEE Press & John Wiley, November 2002.

R. King, M. Quali, A. Strong, A. Aly, A. Elmaghraby, M. Kantardzic, D. Page, “Is it better to combine predictions?”, Protein Engineering , Vol. 13, No. 1, 2000, pp. 15-19.

M. Kantardzic, A. Badia, “Efficient Implementation of Strong Negative Associations Rules”, Proceedings of the 2003 International Conference on Machine Learning and Applications, Los Angeles, CA, June 2003, pp. 152-158 (The Best Paper Award).

A. Badia, M. Kantardzic, “Generalizing Association Rules: A Theoretical Framework and an Implementation”, Proceeding of the Third International Conference on the Intelligent Systems Design and Applications (ISDA’03), Tulsa, OK, August 2003.

Kantardzic M. , . Emam A. Z. , Elmaghraby A. S. , Min H., A Novel Approach for Profile Association Rule Mining from Mixed Databases, The 6 th World Multiconference on Systems, Cybernetics, and Informatics SCI 2002 , Orlando, Florida, July 2002.

Sadeghian, P., Kantardzic, M., The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines, The Journal of Spatial Cognition and Computation, Vol. 8, No. 3, July-September 2008, pp. 252-287.

Sadeghian Pedram, Kantardzic Mehmed, Lozitskiy Oleksandr, and Sheta Walaa, “Route Recommendations in Complex Virtual Environments: The Sequence Mining Approach”, International Journal of Human-Computer Studies, Volume 64, Issue 4, April 2006, pp. 356-374.

Sadeghian P., Kantardzic M., and Rashad S., Knowledgeable Navigation in Virtual Environments, Encyclopedia of Human Computer Interactions, C.Ghaoui (Ed.), Idea Group Inc.,2006, pp. 389-395.

Sadeghian Pedram, Kantardzic Mehmed, Lozitskiy Oleksandr, and Sheta Walaa, Route Recommendations: Navigation Assistance in Complex Virtual Environments, Proceedings of the 20 th InternationalConference on Computers and their Applications, New Orleans, LA, March 2005.

Kantardzic Mehmed, Rashad Sherif, and Sadeghian Pedram, Spatial Navigation Assistance System for Large Virtual Environments: The Data Mining Approach, Proceedings of the Mathematical Methods for Learning Conference, Como, Italy, June 2004, pp. 44-46.

Kantardzic Mehmed, Sadeghian Pedram, Fractal Analysis of Semantically Distributed Data, International Journal of General Systems, Volume 38, Number 1, January 2009, pp. 73-91.

Rashad S., Kantardzic M., Kumar A., Time Component Analysis of Enhanced Predictive Call Admission Control in Wireless Cellular Networks, GESTS Int'l Transaction on Computer Science and Engineering, Vol.7, No.1, May 2005, pp.75-86.

Chamila Walgampaya, Mehmed Kantardzic, “Selection of Distributed Sensors in Multiple Time Series Prediction,” In proceedings of the IEEE World Congress on Computational Intelligence, Vancouver, CA, July 2006.

Kumar A., Kantardzic M., Madden S., Distributed Data Mining: Framework and Implementations, IEEE Internet Computing, July/August 2006, pp. 15-17.

Chamila Walgampaya, Mehmed Kantardzic, “Cost-Sensitive Analysis in Multiple Time Series Prediction,” In proceedings of The 2006 International Conference on Data Mining, Las Vegas, USA, June 2006.

Sherif Rashad, Mehmed Kantardzic, and Anup Kumar, User Mobility Oriented Predictive Call Admission Control and Resource Reservation for Next-Generation Mobile Networks, Journal of Parallel and Distributed Computing (JPDC), Elsevier, Volume 66, Issue 7, July 2006, pp. 971-988.

Sherif Rashad, Mehmed Kantardzic, Anup Kumar, “Mobility-Based Predictive Call Admission Control and Resource Reservation for Next-Generation Mobile Networks”, submitted to the Journal of Parallel and Distributed Computing (JPDC), February 2005.

S. Rashad, M. Kantardzic, and A. Kumar, A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks, In P. Perner (Ed.), Advances in Data Mining - Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications, LNCS: LNAI Vol. 3275, Springer Verlag, November 2004, pp. 134-143.

Sherif Rashad, Mehmed Kantardzic, Anup Kumar, Mobile Data Mining for Radio Resource Management in Wireless Mobile Networks, Proceeding of IEEE and ACM International Conference on Machine Learning and Applications (ICMLA'04), Louisville, KY, December 2004, pp. 85-92.

Kumar Anup, Kantardzic Mehmed, Ramaswamy Padmanabhan, and Sadeghian Pedram, An Extensible Service Oriented Distributed Data Mining Framework, Proceedings of the 3rd International Conference on Machine Learning and Applications, Louisville, KY, December 2004, pp. 256-263.

Kantardzic Mehmed, and Sadeghian Pedram, Structuring Semantically Distributed Homogeneous and Heterogeneous Data Sites, Proceedings of the Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 14, St. Louis, MO, November 2004, pp. 459-464.

Sadeghian Pedram and Kantardzic Mehmed, Structure Discovery in Semantically Distributed Data Sites: The Fractal Dimension Approach, Proceedings of the 8th Multi-Conference on Systemics, Cybernetics, and Informatics, Vol. 5, Orlando, FL, July 2004, pp. 248-253.

Sherif Rashad, Mehmed Kantardzic, Anup Kumar, "PCAC-RR: A Predictive Call Admission Control and Resource Reservation for Wireless Mobile Networks", Proceedings of the First IEEE and IFIP International Conference on Wireless and Optical Communications Networks (WOCN2004), Muscat, Oman, June 2004, pp. 295-298.]

M. Soliman, M. Kantardzic, “Global Model of Distributed Data Mining is not Summing of Local Models”, Data Mining 2003 Conference, Rio de Janeiro, Brazil, December 2003.

A. Kumar, M. Kantardzic, “Grid Application Protocols and Services for Distributed Data Mining”, The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - Workshop on Data Mining Standards, Services and Platforms (DM-SSP 03), Washington, DC, August 2003.

M. Kantardzic, A. Badia, “A Data Mining Framework for Semantically Distributed Databases”, Proceedings of The Seventh IASTED International Conference in Artificial Intelligence and Soft Computing (ASC 2003), Banff, Canada, July 2003.

M. Kantardzic, A. Kumar, “Toward Autonomic Distributed Data Mining With Intelligent Web Services”, The Proceedings of the 2003 International Multiconference in Computer Science and Computer Engineering (IKE’03), Las Vegas , NV, June 2003.

M. Soliman, M. Kantardzic, “Towards Building a Distributed Mining Approach”, Proceedings of the 2nd IEEE International Symposium on Signal Processing and Information Technology, Marrakesh, Marocco, December 2002, pp. 305-309.

Kantardzic M., Soliman M., An Approach for Mining Frequent Sequences in Distributed Environment, Proceedings of the 2002 International Conference on Information and Knowledge Engineering , Las Vegas, Nevada, June 2002.

S. Elmaghraby, M. M. Kantardzic, M El-Rafei, Distributed Software Architectures for Multimedia Systems, US-Korean Science & Technology Symposium , Chicago, IL, May 1998, pp.58-63.

Antonio Badia and Mehmed Kantardzic “Antonio Badia and Mehmed Kantardzic, “Graph Building as a Mining Activity: Finding Link in the Small”, Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, LinkKDD 2005 Workshop, Chicago, IL, August 2005.

Antonio Badia and Mehmed Kantardzic “Link Analysis Tools for Intelligence and Counterterrorism” Proceedings of the 2005 International Conference on Intelligence and Security Informatics, Atlanta, GA, May 2005, ( The Best Paper Honorable Mention Award ).

Resad P. Pasic, Mehmad Kantardzic, Claire Templeman, Ronald L. Levine, Insufflation Techniques in Laparoscopy, International Journal on Surgical Laparoscopy, Endoscopy & Percutaneous Techniques, Volume 16, No. 1, February 2006, pp. 18-23.

M. Kantardzic, J. Zurada, New Generation of Data Mining Applications, IEEE Press and John Wiley, February 2005.

M. Kantardzic, J. Zurada, Trends in Data Mining Applications: From Research Labs to Fortune 500 Companies, in New Generation of Data Mining Applications, M. Kantardzic, J. Zurada (ed.), IEEE Press and John Wiley, February 2005, pp. 1-13.

Adel S. Elmaghraby, Mehmed M. Kantardzic, and Mark P. Wachowiak, “ Data Mining From Multimedia Patient Records”, submitted in July 2002 for publication in the book " Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques ", editors Triantaphyllou E. and Felici G., Kluwer Academic Publishers,Spring 2006.

Resad P. Pasic, Mehmad Kantardzic, Claire Templeman, Ronald L. Levine, Insufflation Techniques in Laparoscopy, accepted for publication in the Journal of the Society of Laparoendoscopic Surgeons, Summer 2006.

Elmaghraby A., Jacoby D., Kantardzic M., at al., Use of Multiple AI Methodologies to Produce a Foundation for an Intelligent Medical Systems, NASA Tech Brief Magazine, Spring 2005.

A. S. Elmaghraby, A. Kumar, M. Kantardzic, M. G. Mostafa, Bandwidth Allocation in a Dynamic Environment Using a Variable Pricing Policy, Electronic Commerce Research, Vol. 5, 2005, pp. 203-227.

Elmaghraby A. S., Kumar A., Kantardzic M., Mostafa M. G., “Bandwidth Allocation in a Dynamic Environment Using a Variable Pricing Policy”, Submitted in 2001 for the Special Issue of the Electronic Commerce Research Journal on “Dynamic Pricing Policies In Electronic Commerce”.

Kantardzic M., Djulbegovic B., Hamdan H., “A Data Mining Approach to Improving Polycythemia Vera Diagnostics”, Computers and Industrial Engineering, Volume 43, Issue 4, September 2002, pg. 765-777.

Kantardzic M., Hamdan H., Djulbegovic B., “Artificial Neural Networks (ANN) Approach in Diagnostics of Polycythemia Vera”, International Journal of Computers and Their Applications , Vol. 8, No. 2, June 2001, pp. 74-79.

Kantardzic M., Goldenberg A., Howe T. E., “Artificial Neural Network Approach to Data Analysis and Parameter Estimation in Experimental Spectroscopy ”, International Journal Informatica, Vol. 25, June 2001, pp. 19-26.

Hewayda Lotfy, Adel Elmaghraby, Mehmed Kantardzic, Jafar Hadizadeh, Expectation-Maximization Framework For Rock Textures Segmentation, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2004), São Luís, Brazil, September, 2004.

Hewayda M. Lotfy, Adel S. Elmaghraby, Mehmed M. Kantardzic, Jafar Hadizadeh, A Feature-Based Probabilistic Image Segmentation, Proceedings of the 4th International conference of Intelligent Systems Design and Applications (ISDA 2004), Budapest, Hungary, August, 2004.

Sherif Rashad, Mehmed Kantardzic, Anup Kumar, A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks, Proceedings of 4th Industrial Conference on Data Mining (ICDM´2004), Leipzig, Germany, July 2004.

Kantardzic Mehmed, Sadeghian Pedram, and Chun Shen, The Time Diversification Monitoring of a Stock Portfolio: An Approach Based on the Fractal Dimension, Proceedings of the 18th ACM Symposium on Applied Computing, Nicosia, Cyprus, March 2004, pp. 637-641

Anderson D., Belknap M., Cui X., Elmaghraby A.S., Jacobi D., Kantardzic M., Ragade R., Computer Assisted Space Medic, The World Space Congress 2002 (WSC 2002), Huston, Texas, October 2002.

Elmaghraby A. S., Kumar A., Kantardzic M, Mostafa G. M., Bandwidth Allocation in a Dynamic Environment Using a Variable Pricing Policy, Proceedings of the Seventh IEEE Symposium on Computers and Communications ISCC'02 , Taormina, Italy, July 2002.

Mostafa G. M., Kumar A., Elmaghraby A.S., Kantardzic M., A Comparative study of Bandwidth Pricing Models for Dynamic Bandwidth Allocation, Submitted for The 6th International Conference/Exhibition on High Performance Computing in Asia Pacific Region HPC 2002 , Bangalore, India, December 2002.

M. Kantardzic, R. P. Pasic, C. Templeman, R. Levine, “Data Mining Approach in a Selection of Laparoscopic Techniques”, Proceedings of the 10 th International Conference on Intelligent Systems , Arlington, VA, June 2001, pp. 1-4.

M. Kantardzic, H. Hamdan, B. Djulbegovic, A. S. Elmaghraby, Diagnostic Criteria for Polychitemia Rubra Vera: Artificial Neural Network Approach, The Proceedings of the 15 th International Conference on Computers and Their Applications , New Orleans, March 2000, pp. 156-159.

M. Kantardzic, H. Hamdan, B. Djulbegovic, ANN Approach in Diagnostics of Polycythemia Vera, The Proceedings of the Ninth International Conference on Intelligent Systems ICIS-2000 , Louisville, June 2000, pp. 13-18.

M. Kantardzic, A. Goldenberg, P. W. Fagey, Dimensionality Reduction in Experimental Spectroscopy using Visualization of Model-Derived Optical Parameters, ISCA Proceedings of the 8 th International Conference on Intelligent Systems , Denver, CO, June 1999, pp. 37-40.

M. Kantardzic, ed., “Intelligent Systems” , ISCA Proceedings of the 8 th International Conference on Intelligent Systems, ISCA, June 1999.

M. Kantardzic, “Neural Network Gaps: Logical Interpretation”, in “Encyclopedia of Microcomputers” , edited by J. G. Williams and A. Kent, Marcel Dekker, Inc., New York, 2000, pp. 259-273.

Kantardzic M., A. A. Aly, A. S. Elmaghraby, “Visualization of Neural Network Gaps Based on Error Analysis”, IEEE Transaction on Neural Networks, Vol. 10, No. 2, March 1999, pp. 419-426.

Kantardzic M., A. S. Elmaghraby, “Logic - Oriented Model of Artificial Neural Networks”, Information Sciences, Vol. 101, No. 1&2, September 1997, pp. 85-107.

Kantardzic M., A. S. Elmaghraby, “Architecture of User Agents in a Distributed VOD System”, Annual Review of Communication , Vol. 49, 1996, pp. 705-713.

M. Kantardzic, A. Goldenberg, H. M. Hamdan, Software Tool for Visualization of Neural network Gaps, Proceedings of the 13 th International Conference on Computer Applications in Industry and Engineering , Honolulu, November 2000, pp. 287-291.

M. Kantardzic, A. A. Aly, A. S. Elmaghraby, On Complexity of Algorithms for Neural Network Gap Detection, The Proceedings of the Artificial Neural Networks in Engineering Conference ANNIE ‘98 , St. Louis, MO, November 1998, pp. 115-120.

M. Y. El-Rafei, M. M. Kantardzic, A. S. Elmaghraby, An Intelligent Agent-Based Tour Planner, The Proceedings of the 15th National Computer Conference , Dharhan, Saudi Arabia, November 1997, pp. 156-161.

Aly, M. Kantardzic, A. S. Elmaghraby, Visualization of Knowledge Generalizations in Artificial Neural Networks, The Proceedings of the The Fourth IEEE International Conference on Electronics, Circuits, and Systems in Cairo, Egypt, December 1997, pp. 864-869.

M. Y. El-Rafei, M. M. Kantardzic, A. S. Elmaghraby, A Prototype for an Agent-Based Museum Tour Planner, The Proceedings of the ISCA 6th International Conference on Intelligent Systems, Boston, MA, June 1997, pp. 24-27.

M. Kantardzic, A. S. Elmaghraby, Training Artificial Neural Networks with Fuzzy Logic Rules in Data Classification Problems, The Proceedings of the ISCA 6th International Conference on Intelligent Systems , Boston, MA, June 1997, pp. 174-177.

M. Kantardzic, A. S. Elmaghraby, “Analysis of Logical Characteristics in Artificial Neural Network”, Proceedings of 1996 Summer Computer Simulation Conference , Portland, Oregon, USA , July 1996, pp. 175-180.

M. Kantardzic, A. S. Elmaghraby, “An Algorithm for Logical Interpretation of Neuron's Computational Model in Artificial Neural Network”, Proceedings of the ISCA 5th International Conference on Intelligent Systems, F. C. Hariss (editor), Reno, Nevada, USA, June 1996, pp. 66-70.

M. Kantardzic, K. A. Kamel, A. S. Elmaghraby, “Video-On-Demand Architecture: An Agent-Based Approach”, Proceedings of the ISCA International Conference “Fourth Golden West Conference on Intelligent Systems” , S. Louis (editor), San Francisco, CA, USA, June 12-14, 1995, pp. 269-273.

Joung Woo Ryu, Mehmed Kantardzic, Chamila Walgampaya, Building an Ensemble of Classifiers Using Partially Labeled Streaming Data, Accepted for publication in the International Journal of Information Sciences, Elsevier, 2012.

Mehmed Kantardzic, Joung Woo Ryu, Chamila Walgampaya, “Building a New Classifier in an Ensemble using Streaming Unlabeled Data”, The 23rd International Conference on Industrial, Engineering & Other Application of Applied Intelligent Systems (IEA-AIE 2010), Cordoba, Spain, June 2010.

Joung Woo Ryu, Mehmed Kantardzic, Chamila Walgampaya, “Ensemble Classifier based on Misclassified Streaming Data,” The Tenth IASTED International Conference on Artificial Intelligence and Applications (AIA 2010), Innsbruck, Austria, Feb. 2010.

M. Kantardzic, A. Badia, “Efficient Implementation of Strong Negative Associations Rules”, Proceedings of the 2003 International Conference on Machine Learning and Applications, Los Angeles, CA, June 2003, pp. 152-158 (The Best Paper Award).

Brent Wenerstrom, Mehmed Kantardzic, ReClose: Web Page Summarization Combining Summary Techniques, International Journal of Web Information Systems (IJWIS), Vol. 7, No. 4, 2011, pp. 333-359.

Chamila Walgampaya, Mehmed Kantardzic, Brent Wenerstrom, Duplicate Detection in Pay-Per-Click Streams using Temporal Stateful Bloom Filters, Accepted for publication, International Journal of Data Analysis Techniques and Strategies (IJDATS), February 2011.

Chamila Walgampaya, Mehmed Kantardzic, “Cracking The Smart ClickBot,” 13th IEEE International Symposium on Web Systems Evolution, September 30, 2011.

Mehmed Kantardzic, Brent Wenerstrom, Chamila Walgampaya, Sean Higgins, Darren King, Click Fraud Detection Using Time and Space Contextual Information, International Journal on WWW/Internet, Vol. 8, No. 2, 2011, pp. 101-117.

Chamila Walgampaya, Mehmed Kantardzic, Roman Yampolskiy, “Evidence Fusion For Real Time Click Fraud Detection And Prevention,” Intelligent Automation and Systems Engineering, Springer 2011.

ChamilaWalgampaya, Wael Emara, Mehmed Kantardzic, “Validation of Click Fraud Detection Models,” Accepted for publication in 7th International Conference on Machine Learning and Data Mining, MLDM 2011, August 30-September 3, 2011.

Mehmed Kantardzic, Chamila Walgampaya, Wael Emara, “Click fraud prevention in pay-per-click model: Learning through multi-model evidence fusion,” International Conference on Machine and Web Intelligence (ICMWI) ,pages 20–27, 2010.

Mehmed Kantardzic, Brent Wenerstrom, Chamila Walgampaya, Sean Higgins, Darren King, “Click Fraud Detection Using Time and Space Contextual Information,” IADIS International Journal on WWW/Internet, Volume: VIII,2 , Pages 101-117, 2010.

Chamila Walgampaya, Mehmed Kantardzic, and Roman Yampolskiy, “Real Time Click Fraud Prevention using multi-level Data Fusion,” International Conference on Computer Science and Applications 201 (WCECS 2010), October 20 - 22, 2010, San Francisco, USA , pp514-519.

Mehmed Kantardzic, Chamila Walgampaya, Roman Yampolskiy, Joung Woo Ryu,“Click Fraud Prevention via Multimodal Evidence Fusion by Dempster-Shafer Algorithm,” 2010 IEEE Conference on Multisensor Fusion and Integration (MFI2010), Salt Lake City, Utah, USA, September 5-7, 2010.

Mehmed Kantardzic, Chamila Walgampaya, Brent Wenerstrom, “Improving Click Fraud Detection by Real Time Data Fusion,” In IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, pages 6974, 2008.