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Artificial Intelligence Laboratory

Business Intelligence and Mining

Research Goal

E-Commerce applications present unique challenges and opportunities for developing various data mining, text mining, and web mining techniques for business intelligence and knowledge management purposes. Based on more than one decade of research funded by NSF and other major commercial companies (HP, SAP, DEC, AT&T, CommerceOne, etc.), the University of Arizona Artificial Intelligence Lab has conducted E-Commerce Intelligence and Mining research in the following application areas:

  • Business Intelligence: Multilingual e-commerce portals and knowledge mapping systems;
  • Group Decision Support Systems (GDSS): Text mining and visualization to support collaboration;
  • Credit Rating: Data mining for international credit rating analysis;
  • ERP Knowledge Management: Knowledge mapping research for ERP content mining;
  • Patent Analysis: Text and citation based analysis of international patents;
  • E-Commerce Recommender Systems: Graph-based models for customer relation management (CRM) and product recommendation;
  • E-Commerce Security Analysis: Text and web mining for detecting fraudulent web sites and e-commerce contents;
  • Stock Prediction Systems: Text mining based stock outbreak detection;
  • E-Commerce Marketing and Survey: Opinion mining for Web 2.0 customer-generated contents and sentiment analysis.

 

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Approach and Methodology

The world has been flattened (according to T. Freeman and many others) in the past two decades, for better or for worse. International travel, multinational corporations and supply chains, international outsourcing, cross-continent fiber optics cables, mobile devices and wireless communications, powerful commodity computing and storage devices, and the ubiquitous Internet have all contributed to this transformation. In spite of this progress, there are also significant consequences and unintended global security risks, such as, for example, global pandemics (SARS and avian flu), the "War on Terror" (post September 11), cyber security (botnets, zombie computers, e-commerce and identity fraud), border security and immigration issues (virtual fences and Secure Border Initiative), etc. Although the security applications are diverse, the IT aspects of these problems and potential solutions are similar. How do we identify potential threats and security concerns? How do we systematically monitor, collect, and fuse security-related data and information from diverse global data sources? How do we analyze these raw data and information and turn them into actionable intelligence and knowledge for decision makers and policy makers?

Our ISI research has focused on four major theme areas: border security, biosecurity, cyber security, and e-commerce security. For border security, we aim to develop advanced research in data fusion, situation awareness, risk assessment, and information visualization for use by border protection and public safety agencies. For biosecurity, we have been conducting informatics-based epidemiology and public health research of relevance to infectious diseases and bioagents. For cyber security, we conduct advanced research in autonomic intrusion detection, botnets and malware analysis, and cyber terrorism research. For e-commerce security, we are performing advanced research of relevance to fake e-commerce site detection, customer-based fraud detection, botnet related e-commerce transaction analysis, and social media analytics based e-commerce opinion mining.

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Funding (Selected)

We thank the following agencies and companies for providing research funding support:

NSF(SGER) December 2007 – December 2008 ($100,000)
"Inter-Repository Patent Analysis to Understand Worldwide Nanotechnology Research and Development"
 
NSF(SGER) January 2007-December 2007 ($100,000)
"Worldwide Nanotechnology Development: A Comparative Study of Global Patents"
 
NSF(DMI-0533749) August 2005-July 2007 ($200,000)
"NanoMap: Mapping Nanotechnology Development"
 
NSF(SGER) September 2005-August 2006 ($100,000)
"Mapping Nanotechnology Development based on the ISI Literature-Citation Database"
 
NSF - National Science Digital Library (NSDL) Program September 2002-August 2004 ($700,000)
"An Active Object-Oriented Digital Library for Microeconomics Education"
 
October 2000
  • Mark and Susan Hoffman E-Commerce Lab, $1M lab naming endowment;
  • $500,000 equipment donation fro HP;
  • ERP and e-commerce software donations from Oracle, SAP, J.D. Edward, IBM, Microsoft, and IFS for a combined value of $10M.
  •  
    Digital Equipment Corporation - External Technology Grants Program 1997 - 2001 ($184,893; equipment donation)
    DEC AlphaServer 4100 (5/533 Mhz CPU, 2 GBs RAM, 100 GBs disk)
     
    June 2000 - May 2001 ($122,729)
    "E-Commerce Agent Research and Curriculum Development through HP E-speak: A Framework for Creating Wireless B2B Solutions"
     
    Hewlett-Packard Company University Grant July 1999 ($305,578)
    "Hewlett-Packard Enterprise Computing Lab for Enterprise Information Systems Education and Research"
     
    Silicon Graphics Inc. (SGI) 1998 - 2001 ($210,000; equipment donation)
    SGI Origin2000 supercomputer (8 R10000 processors, 1 GB RAM, 100 GBs disk)
     
    3COM October 1998 - February 1999 ($90,000)
    "High-Performance Multimedia System Benchmarking: An Experiment for Internt-2"
     
    SAP University Alliance Grant Awards January 1999 - December 1999 ($75,000)
    "Knowledge Management for SAP R/3: An Experiment on Call Center Record Management"
     
    AT&T Foundation Special Purpose Grants in Science and Engineering October 1996 - September 1996 ($10,000)
    "Intelligent Internet Resource Categorization and Discovery"
     

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    Publications

    Books:

    • H. Chen and M. Roco, "Mapping Nanotechnology Innovations and Knowledge: Global and Longitudinal Patent and Literature Analysis," Springer, 2008.
    • H. Chen, Trailblazing a Path Towards Knowledge and Transformation: E-Library, E-Government, and E-Commerce, The University of Arizona, Tucson, Arizona, January, 2003.
    • H. Chen, Knowledge Management Systems: A Text Mining Perspective, University of Arizona, Tucson, Arizona, November, 2001.

    Journal Articles:

    • H. Chen, A. Houston, J. Yen, and J. F. Nunamaker, "Toward Intelligent Meeting Agents," IEEE Computer, Volume 29, Number 8, Pages 62-70, August, 1996.
    • R. Orwig, H. Chen, D. Vogel, and J. F. Nunamaker, “A Multi-Agent View of Strategic Planning Using Group Support Systems and Artificial Intelligence,” Group Decision and Negotiation, Volume 5, Pages 37-59, 1996.
    • R. E. Orwig, H. Chen, and J. F. Nunamaker, "A Graphical, Self-Organizing Approach to Classifying Electronic Meeting Output," Journal of the American Society for Information Science, Volume 48, Number 2, Pages 157-170, February, 1997.
    • H. Chen, O. Titkova, R. Orwig, and J. F. Nunamaker, "Information Visualization for Collaborative Computing," IEEE Computer, Volume 31, Number 8, Pages 75-82, August, 1998.
    • D. Roussinov and H. Chen, "Document Clustering for Electronic Meetings: An Experimental Comparison of Two Techniques," Decision Support Systems, Volume 27, Number 1, Pages 67-80, November 1999.
    • M. McQuaid, T. Ong, H. Chen, and J. F. Nunamaker, "Multidimensional Scaling for Group Memory Visualization," Decision Support Systems, Volume 27, Number 1-2, Pages 163-176, November 1999.
    • H. Chen, M. C. Chau, and D. Zeng, "CI Spider: A Tool for Competitive Intelligence on the Web," Decision Support Systems, Volume 34, Number 1, Pages 1-17, December, 2002.
    • Z. Huang, W. Chung, and H. Chen, "A Graph Model for E-Commerce Recommender Systems," Journal of the American Society for Information Science and Technology, Volume 55, Number 3, Pages 259-274, 2004.
    • Z. Huang, H. Chen, C. J. Hsu, W. H. Chen, and S. Wu, "Credit Rating Analysis with Support Vector Machines and Neural Networks: A Market Comparative Study," Decision Support Systems, Volume 37, Number 4, Pages 543-558, 2004.
    • W. Chung, H. Chen and J. F. Nunamaker, "A Visual Knowledge Map Framework for the Discovery of Business Intelligence on the Web," Journal of Management Information Systems, Volume 21, Number 4, Pages 57-84, 2005.
    • T. Ong, H. Chen, W. Sung, and B. Zhu, "NewsMap: A Knowledge Map for Online News," Decision Support Systems, Volume 39, Number 4, Pages 583-598, June, 2005.
    • P. Zhang, J. Sun, and H. Chen, "Frame-based Argumentation for Group Decision Task Generation and Identification," Decision Support Systems, Volume 39, Number 4, Pages 643-660, June, 2005.
    • Z. Huang, H. Chen, L. Yan, and M. C. Roco, "Longitudinal Nanotechnology Development (1991-2002): National Science Foundation Funding and Its Impact on Patients," Journal of Nanoparticle Research, Volume 7, Pages 343-376, 2005.
    • Z. Huang, H. Chen, F. Guo, J. Xu, S. Wu, and W. Chen, "Expertise Visualization: An Implementation and Study based on Cognitive Fit Theory," Decision Support Systems, Volume 42, Number 3, Pages 1539-1558, December 2006.
    • W. Chung, A. Bonillas, G. Lai, W. Xi, and H. Chen, "Supporting Non-English Web Searching: An Experiment on the Spanish Business and the Arabic Medical Intelligence Portals," Decision Support Systems, Volume 42, Number 3, Pages 1697-1714, 2006.
    • Z. Huang, H. Chen, X. Li, and M. C. Roco, "Connecting NSF Funding to Patent Innovation in Nanotechnology (2001-2004)," Journal of Nanoparticle Research, Volume 8, Number 6, Pages 859-879, 2006.
    • M. Chau, B. Shiu, I. Chan and H. Chen, "Redips: Backlink Search and Analysis on the Web for Business Intelligence Analysis," Journal of the American Society for Information Science and Technology, Volume 58, Number 3, Pages 351-365, 2007.
    • Z. Huang, D. Zeng, and H. Chen, "Analyzing Consumer-Product Graphs: Empirical Findings and Applications in Recommendation Systems," Management Science, Volume 53, Number 7, Pages 1146-1164, July 2007.
    • Z. Huang, D. Zeng, and H. Chen, "A Comparative Study of Collaborative-Filtering Recommendation Algorithms for E-Commerce," IEEE Intelligent Systems, Volume 22, Number 5, Pages 68-78, 2007.
    • R. Schumaker and H. Chen, "Evaluating a News-Aware Quantitative Trader: The Effect of Momentum and Contrarian Stock Selection Strategies," Journal of the American Society for Information Science and Technology, Volume 59, Number 2, Pages 247-255, 2008.
    • A. Abbasi, H. Chen and J. F. Nunamaker, "Stylometric Identification in Electronic Markets: Scalability and Robustness," Journal of Management Information Systems, forthcoming, 2008.
    • A. Abbasi and H. Chen, "CyberGate: A System and Design for Text Analysis of Computer Mediated Communications," MIS Quarterly, forthcoming, 2008.
    • A. Abbasi, H. Chen, S. Thoms, and T. J. Fu, "Affect Analysis of Web Forums and Blogs using Correlation Ensembles," IEEE Transactions on Knowledge and Data Engineering, forthcoming, 2008.

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