Generation data mining applications mehmed kantardzic

• M. Kantardzic, "Data Mining: Concepts, Models, Methods, and Algorithms", the textbook, IEEE Press & John Wiley, (First edition, November 2002; Second Edition, August 2011).
  The textbook is translated into Chinese, and published by Xinhua (January 2013) in the series: "Foreign Computer Science Classic Textbooks", and it is translated into Japanese and selected in Japan as one of the Top 100 Bestsellers in Engineering and Technology for 2011. The book is also translated into Iranian in 2013, while Spanish and Korean translations of the textbook are in preparation.

• Arif Wani, Mehmed Kantardzic, ed., Machine Learning and Applications, Proceedings of the 2009 International Conference ICMLA'09, IEEE Inc., December 2009.

• Arif Wani, Mehmed Kantardzic, ed., Machine Learning and Applications, Proceedings of the 2007 International Conference ICMLA'07, IEEE Inc., December 2007.

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

• 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.

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

• Chamila Walgampaya, Mehmed Kantardzic, Roman Yampolskiy, Evidence Fusion For Real Time Click Fraud Detection and Prevention, In "Intelligent Automation and Systems Engineering," Eds.: Sio-long Ao et al., Springer, 2011, ISBN 978-1-4614-0373-9, pp. 1-15.

• M. Kantardzic, Data Mining: Concepts, Models, Methods, and Algorithms, the book, Second Edition, IEEE Press & John Wiley, August 2011.

• Arif Wani, Mehmed Kantardzic, ed., Machine Learning and Applications, Proceedings of the 2009 International Conference ICMLA 2009, IEEE Inc., December 2009.

• Kantardzic, M., Sadeghian, P., Sheta, W., Spatial Navigation Assistance System for Large Virtual Environments: The Data Mining Approach, In G. Felici & C. Vercellis (Eds.), Mathematical Methods for Knowledge Discovery and Data Mining, Springer, 2008, pp. 265-283.

• Arif Wani, Mehmed Kantardzic, ed., Machine Learning and Applications, Proceedings of the 2007 International Conference ICMLA 2007, IEEE Inc., December 2007.

• Kantardzic, M., Sadeghian, P., Sheta, W., Spatial Navigation Assistance System for Large Virtual Environments: The Data Mining Approach, In G. Felici & C. Vercellis (Eds.), Mathematical Methods for Knowledge Discovery and Data Mining, Springer, Fall 2007.

• Thawonmas R., Kurashige M., Iizuka K., Kantardzic M., Clustering of Online Game Users Based on Their Trails Using Self-organizing Map, in Richard Harper et al. (Eds.), Entertainment Computing, LNCS: Vol. 4161, Springer, Berlin, 2006, pp. 366-369.

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

• 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.

• 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.

• M. Kantardzic, M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic, �Expert System for Technical Security System Design�, in �Expert Systems�, edited by G. Gourderes, J. Leibowitz, M. Whrite, IITT, Grenoble, France, 1990, pp. 317-322.

• M. Kantardzic, A. Filipovic, H. Glavic, �Algorithm for Matching Linguistically Imprecise Data Considering the Flat R-L Fuzzy Numbers in a Knowledge Base�, in �Artificial Intelligence and Information-Control Systems�, edited by I. Plander, North-Holland, Amsterdam, 1989, pp. 141-149.

• M. Kantardzic, S. Kovacevic, �DIP: Intelligent Form Management System�, in �Networks in Office Automation", edited by K. Boyanov, North-Holland, Amsterdam, 1985, pp.292-302.

• Mehmed Kantardzic, Editorial on Big Data, Transactions on Machine Learning and Data Mining, Vol. 9, No.1 (2016) pp. 1-2.

• Singh Sethi, T., Kantardzic, M. M., Hu H., A Grid Density Based Framework for Classifying Streaming Data in the Presence of Concept Drift, Journal of Intelligent Information Systems, Springer, February 2016, Volume 46, Issue 1, pp 179-211.

• Kantardzic, M., Gavranovic, H., Gavranovic, N., Dzafic, I. and Hu, H. (2015) Improved Short Term Energy Load Forecasting Using Web-Based Social Networks. Social Networking, 4, 119-131, October 2015, DOI: 10.4236/sn.2015.44014.

• Arabmakki E., Kantardzic M., Smart Labeling in Mining Imbalanced Streaming Data with Concept Drift", submitted for Data and Knowledge Engineering Journal, October 2015.

• 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.

• 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.

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

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

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

• 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.

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

• Kantardzic M., Sadeghian P., Fractal Analysis of Semantically Distributed Data, Invited paper for the International Journal of General Systems, Fall 2006.

• Rashad S., Kantardzic M., Kumar A., 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, Pages 971-988.

• 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.

• Sadeghian Pedram, Kantardzic Mehmed, Lozitskiy Oleksandr, and Sheta Walaa, Route Recommendations in Complex Virtual Environments: The Sequence Mining Approach, accepted for the publication in The International Journal of Human-Computer Studies, Spring 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Kantardzic M., M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic, "CAD in Technical Security - Knowledge Based Approach", Expert Systems Applications, Vol. 4, No. 1, April 1992, pp. 63-68.

• Kantardzic M., M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic, "Expert System for Technical Security System Design", in Expert Systems , edited by G. Gourderes, J. Leibowitz, M. Whrite, IITT, Grenoble, France, 1990, pp. 317-322.

• Kantardzic M., A. Filipovic, H. Glavic, "Algorithm for Matching Linguistically Imprecise Data Considering the Flat R-L Fuzzy Numbers in a Knowledge Base", in Artificial Intelligence and Information-Control Systems , edited by I. Plander, North-Holland, Amsterdam, 1989, pp. 141-149.

Refereed Full-Length Conference Proceedings Articles

• Hanqing Hu, Kantardzic Mehmed, Smart Preprocessing Improves Data Stream Mining, Proceedings of the Hawaii International Conference on System Sciences HICSS-49, Hawaii, January 2016.
• Emrah Bilgic, Mehmed Kantardzic, Ozgur Cakir, Retail store segmentation for target marketing, accepted for the 15th Industrial Conference on Data Mining (ICDM 2015), July 15-19, 2015, Hamburg, Germany.
• Mehmed Kantardzic, Tegjyot Singh Sethi, Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density, Proceedings for the INNS Conference on Big Data 2015, San Francisco, CA, USA 8-10 August 2015, pp 103-112.
• Lingyu Lyu, Mehmed Kantardzic, Elaheh Arabmakki, Solar Irradiance Forecasting by Using Wavelet Based Denoising, Proceedings of the IEEE Symposium Series on Computational Intelligence 2014 (IEEE SSCI), December 2014, Orlando, FL.
• Sethi, Tegjyot, Mehmed Kantardzic, Hanquing Hu, Elaheh Arabmakki, An ensemble Classification Approach for Handling Spatio-Temporal Drifts in Partially Labeled Data Streams, Proceedings of the 15th IEEE International conference on information reuse and integration, 13-15 August 2014, San Francisco, California.
• Elaheh Arabmakki, Mehmed Kantardzic, Tegjyot Singh Sethi, RLS-A Reduced Labeled Samples Approach for Streaming Imbalanced Data with Concept Drift, Proceedings of the 15th IEEE International conference on information reuse and integration, 13-15 August 2014, San Francisco, California.
• Hu, H., Kantardzic, M. M., Singh Sethi, T., Selecting samples for labeling in unbalanced streaming data environments, Proceedings of the IEEE XXIV International Symposium on Information, Communication and Automation Technologies (ICAT), Sarajevo, October 2013.
• Kantardzic, M. M., Arabmakki, E., Wenerstrom, B., Hindi, M., False Alarm Removal in the Twitter-Based Flu Outbreak Detection, Proceedings of the MDA'13 Conference, New York, July 2013.
• Joung Woo Ryu, Mehmed Kantardzic, Myung-Won Kim, A Ra Khil, An Efficient Method of Building an Ensemble of Classifiers in Streaming Data, International Conference on Big Data Analytics (BDA-2012), New Delhi, December 2012.
• Brent Wenerstrom, Mehmed Kantardzic, Elaheh Arabmakki and Musa Hindi" "Multi-Tweet Summarization for Flu Outbreak Detection", AAAI 2012 Fall Symposium on Information Retrieval and Knowledge Discovery in Biomedical Text, Washington DC, November 2012.
• B. Wenerstrom, M. Kantardzic, Search Result Summaries Improved by Structure and Multimedia,4th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2012, Barcelona, Spain, October 2012.
• Joung Woo Ryu, Mehmed Kantardzic, Myung-Won Kim, Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data, Proceedings of the International Conference on Convergence and Hybrid Information Technology - ICHIT 2012, LNCS7425, Springer, Heidelberg, August 2012, pp. 533-540. (Best Paper Award)
• B. Wenerstrom, R. Ragade, M. Kantardzic, ReClose Fuzz: Improved Automatic Summary Generation using Fuzzy Sets, Proceedings of the 3rd International Conference on Soft Computing, Intelligent System and Information Technology, Bali, Indonesia, May 2012, pp. 8-11.
• Brent Wenerstrom, Mehmed Kantardzic, Enhanced Visualization for Web-Based Summaries, Proceedings of the First International Workshop on Search and Integrating New Web Data Sources - Very Large Data Search (VLDS) 2011, Seattle, Washington, September, 2011, pp. 38-43.
• Wael Emara, Mehmed Kantardzic. Efficient Approximate Semi-supervised Support Vector Machines Through Submodular Optimization, Proceedings of the 10th International Conference on Machine Learning and Applications - ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011.
• Wael Emara, Chamila Walgampaya, and Mehmed Kantardzic, Validation of Click Fraud Detection Models, Proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition - MLDM 2011, New York, USA, August 30 - September 3, 2011.
• Chamila Walgampaya, Mehmed Kantardzic, Cracking the Smart ClickBot, Proceedings of the 13th IEEE International Symposium on Web Systems Evolution, Williamsburg, VA, USA, September, 2011.
• Anala Pandit, Mehmed Kantardzic, New Hierarchical Model using SOM Improves Accuracy of Multiclass Datasets, Proceedings of the XXIII International Symposium on Information, Communication and Automation Technologies �ICAT 2011, Sarajevo, Bosnia and Herzegovina, October 2011.
• Chamila Walgampaya, Mehmed Kantardzic, Roman Yampolskiy, Real Time Click Fraud Prevention using Multi-level Data Fusion, Proceedings of the World Congress on Engineering and Computer Science 2010, San Francisco, USA, October 20-22, 2010.
• Mehmed Kantardzic, Chamila Walgampaya, Roman Yampolskiy, Joung Woo Ryu, Click Fraud Prevention via Multimodal Evidence Fusion by Dempster-Shafer Algorithm, Proceedings of the IEEE 2010 International Conference on Multisensor Fusion and Integration for Intelligent Systems, Utah, USA, September 5-7, 2010.
• Brent Wenerstrom, Mehmed Kantardzic, Sentence Ranking for Search Document Summarization Based on the Wisdom of Three Search Engines, Proceedings of the 2010 International Conference on Internet Computing, Las Vegas, July, 2010.
• 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.
• Kantardzic M., Walgampaya C, Wenerstrom B., Lozitskiy O., Higgins S., King D., Time and Space Contextual Information Improves Click Quality Estimation, The IADIS International Conference e-Commerce 2009, Algarve, Portugal, June 2009, pp. 123-130, Outstanding Paper Award.
• Emara W., Kantardzic M., How Much Locality is Needed for Incremental RBF-SVM Learning?, The 2009 International Conference on Artificial Intelligence (ICAI�09), Las Vegas, Nevada, July 2009.
• Emara E., Kantardzic M., Local Properties of RBF-SVM During Training for Incremental Learning, International Joint Conference on Neural Networks 2009 (IJCNN 2009), Atlanta, Georgia, June 2009.
• Emara W., Kantardzic M., The Locality of RBF-SVM for Incremental Learning, IEEE Symposium on Computational Intelligence and Data Mining 2009 (IEEE CIDM 2009), Nashville, Tennessee, March 2009.
• Chang,D., Kantardzic,M., Ouyang,M. Hierarchical clustering with CUDA/GPU, 22nd International Conferernce on Parallel and Distributed Computing and Communication Systems (PDCCS2009), January 2009, pp. 7-12.
• Kantardzic M., Walgampaya C, Wenerstrom B., Lozitskiy O., Higgins S., King D., Improving Click Fraud Detection by Real Time Data Fusion, Proceeding of the 8th IEEE International Symposium on Signal Processing and Information Technology, Sarajevo, Bosnia and Herzegovina, December 2008, pp. 69-74.
• Emara W., Kantardzic M., Incremental Learning Using Partly Labeled Data, 23rd International Conference on Computers and Their Applications, Proceedings of CATA-2008, Cancun, Mexico, April 2008, pp. 167-173.
• Abraham G., Kumar A., Kantardzic M., A Predictive Handoff Scheme for Multi-hop Heterogeneous Wireless Networks, Proceedings of the COMSWARE 2008, Bangalore, India, January 2008.
• Rozhkova V., Kantardzic M., Elmaghraby A., Use of Simulation and Random Matrix Theory to Identify the State of Network Traffic, Proceedings of the IEEE ISSPIT 2007, Cairo, December 2007.
• Rozhkova V., Kantardzic M., Feature Extraction using Random Matrix Theory Approach, Proceedings of the International Conference on Machine Learning & Applications (ICMLA�07), Cincinnati, OH, December 2007, pp. 410-416.
• Rozhkova V., Kantardzic M., Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach, Proceedings of the 2007 International Conference on Computer Applications in Industry and Engineering, San Francisco, CA, November 2007, Best Paper Award.
• Emara W., Kantardzic M., An Approach for Incremental Semi-supervised SVM, IEEE International Conference on Data Mining - Workshops 2007 (ICDMW 2007), Omaha, Nebraska, October 2007.
• Kantardzic, M., Sadeghian, P., Personalized Previews of Alternative Routes in Virtual Environments, Proceedings of the11 th International Conference on User Modeling, Corfu, Greece, June 2007.
• Rashad S., Kantardzic M., Kumar A., MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks, The Proceedings ofIEEE Symposium on Computational Intelligence and Data Mining , Hawaii, April 2007.
• Rashad S., Kantardzic M., Kumar A., PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks, The Proceedings of IEEE Symposium on Computers and Communications, Avero, Portugal, July 2007.
• Kantardzic M., Gant J., Mining Sequences in Distributed Sensors Data for Energy Production, Proceedings of the 20th International FLAIRS Conference, Key West, FL, May 2007.
• Kantardzic M., Fuller R., Continuously Monitoring Frequent Items over Distributed Data Streams, Proceedings of the International Conference on Machine Learning and Data Mining MLDM´2007, Leipzig, Germany, July 2007.
• Sadeghian, P., Kantardzic, M., Lozitskiy, O., Lozitskiy, Y., Preview of Recommended Routes in Large-Scale Virtual Environments, Proceedings of the ACM International Conference on Virtual Reality Continuum and Its Applications (VRCIA), Hong Kong, China, June 2006, pp. 35-42.
• Sadeghian P., Kantardzic M., Lozitskiy O., Lozitskiy Y., Route Previews: Enhancing the Route Selection Process in Large-Scale Virtual Environments, IEEE Virtual Reality Conference, Alexandria, VA, March 2006, pp. 285-286.
• Thawonmas R., Kurashige M., Iizuka K., Kantardzic M., Clustering Online Game Users Based on Their Trails Using Self-Organizing Map, Proceedings of the IFIP 5th International Conference on Entertainment Computing (ICEC 2006), Cambridge, UK, September 2006.
• Ge L., Kantardzic M., King D., Collaborative Click Fraud Detection and Prevention System (CCFDP) Discovers Software-Based Click Fraud, Proceedings of the IADIS e-Commerce 2005 Conference, Porto, Portugal, December 2005.
• Ge L., Kantardzic M., King D., CCFDP: Collaborative Click Fraud Detection and Prevention System, Proceedings of the 18th International Conference on Computer Application in Industry and Engineering – CAINE 2005, Honolulu, USA, November 2005.
• 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 ).
• 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.
• 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.
• 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), S�o Lu�s, 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.
• 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, 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.
• herif 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.]
• 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, 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
• 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, �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).
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Mostafa G. M., ElmaghrabyA. S., Kumar A., Kantardzic M., Broadband Pricing Models: A User Perspective, Submitted in July 2002 for the International Engineering Consortium (IEC 2002) Publication .
• 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, 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, 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, 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.
• 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.
• 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.
• M. Kantardzic, J. Sibalija, A. Filipovic, "Architecture of Expert System for Production Control", DEXA-92 Conference , Wien, Austria, April 1992, pp. 712-719.
• M. Kantardzic, N. Gujic, A. Filipovic, H. Glavic, "Architecture of Distributed Expert System for Controlling the Production Process of Formaldehyde/Formal Urea ", Euromicro '92 Workshop on Real-Time Systems, Athens, Greece, June 1992, pp. 188-196.
• M. Kantardzic, M. Barucija, et al., "Knowledge Based Architecture for WAQUM System: Water Quality Monitoring", HYDROO '92 Conference, Barcelona, Spain, July 1992, pp. 23-31.
• M. Kantardzic, V. Okanovic, S. Rizvic, A. Filipovic, "Temporal, Spatial and Default Reasoning", II Congresso dell Associazione per IA , Palermo, Italy, October 1991, pp. 410-414.
• M. Kantardzic, V. Okanovic, S. Rizvic, A. Filipovic, "Temporal, Spatial and Default Reasoning in DIPSY-E System ", The World Congress on Expert Systems , Orlando, Florida, USA, December 1991, pp. 1617-1624.
• M. Kantardzic, S. Rizvic, A. Filipovic, "Temporal and Spatial Reasoning in DIPSY-E System", EXPERSYS '91, Los Angeles, USA, November 1991, pp. 287-292.
• M. Kantardzic, V. Okanovic, A. Filipovic, H. Glavic, " Default Reasoning in DIPSY-E System", Applications of AI in Engineering VI, AIENG '91, Oxford, England, July 1991, pp. 997-1010.
• Filipovic, M. Kantardzic, H. Glavic, "Problem Domain Representation Language for Real-Time Expert Systems" , Proceedings of the 6th Annual Conference of AI , Prague, CSSR, June 1991, pp. 188-195.
• M. Kantardzic, N. Milicic, U. Jusupovic, "Graphical Knowledge Based Electronic Mail System", Proceedings of the 6th MELECON Conference , Ljubljana, Slovenia, May 1991, pp. 1165-1168.
• M. Kantardzic, N. Milicic, A. Filipovic, V. Okanovic, " Knowledge Based Electronic Mail System", Cooperating Knowledge Based Systems Conference , Keele , England, September 1990, pp. 445-450.
• M. Kantardzic, U. Jusupovic, A. Filipovic, N. Gujic, K. Delic, H. Glavic, " Software Environment for Real-Time Expert System Including Crises Prediction ", Proceedings of EUROMICRO , IEEE Society Press, Horsholm, Denmark, May 1990, pp. 299-304.
• M. Kantardzic, U. Jusupovic, A. Filipovic, N. Gujic, K. Delic, H. Glavic, " Software Environment for Real-Time Expert System ", Proceedings of the International Conference on Systems Management, Hong Kong, June 1990, pp.556-564.
• M. Kantardzic, M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic, "A Comprehensive Environment for Computer Aid in Technical Security System Design", Proceedings of the International Conference DEXA, Springer -Verlag, Vienna, Austria, August 1990, pp. 187-195.
• M. Kantardzic, N. Gujic, H. Glavic, A. Filipovic, "Knowledge Refinement in DIPSY-E System", IITT Conference "Verification, Validation, and Testing of Expert Systems" , Los Angeles, USA, November 1990, pp. 65-70.