"Seven Methods for Transforming Corporate Data Into Business Intelligence," by Vasant Dhar and Roger Stein, published by Prentice-Hall (1997), currently in its second printing. It provides a vocabulary for expressing business requirements, and demonstrates the application of major Artificial Intelligence techniques to data-intensive business problems. The book contains seven real-world case studies that illustrate how to formulate problems in a way that leverages the strengths of each of the techniques, and conditions under which it makes sense to apply each of them. Click REVIEW or INTERVIEW to read more.

Intelligent Decision Support Methods: The Science of Knowledge Work, Prentice-Hall, NJ, 1997 (academic version of the above).

CURRENT PAPERS
1. Dhar, Sundararajan, Umayrov, Oesteicher-Singer., The Gestalt in Graphs: Prediction Using Economic Networks, CeDER Working Paper, 09-06, October 2009. http://hdl.handle.net/2451/28313
2. Dhar, V., Prediction in Financial Markets: The Case for Small Disjuncts, CeDER Working Paper, 09-04, September 2009. http://archive.nyu.edu/handle/2451/28304.
3. Dhar, V., and Ghose, A., Sponsored Search and Market Efficiency, CeDER Working paper, August 2009. (Available upon request).
4. Dhar, V., and Sundararajan., Managing IT in a Downturn: Plugging into Transformation. http://www.ft.com/cms/s/0/1f509532-f256-11dd-9678-0000779fd2ac.html (paper appears in Managing in a Downturn: Leading Business Thinkers on How to Grow When Markets Don't. Financial Times Prentice Hall, Great Britain, 2009. ISBN 978-0-273-73005-7

REFEREED ACADEMIC JOURNAL ARTICLES
1. Dhar, Vasant & Elaine Chang (2009) "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, November 2009.
2. Dhar, Vasant & Arun Sundararajan (2007) "Information Technologies in Business: A Blueprint for Education and Research," Information Systems Research, Volume 18, Number 2, June 2007.
3. Dhar, V., and Chou, D., A Comparison of Nonlinear Methods for Predicting Earnings Surprises and Returns, IEEE Transactions on Neural Networks, Volume 14, Issue 4, July 2001.
4. Dhar, V., Chou, D., and Provost (2000)., Discovering Interesting Patterns in Investment Decision Making with GLOWER – 5. A Genetic Learning Algorithm Overlaid With Entropy Reduction, Data Mining and Knowledge Discovery, October 2000.
6. Dhar, V., Data Mining in Finance: Using Counterfactuals to Generate Knowledge from Organizational Information Systems, Information Systems, Volume 23, No. 7, 1998.
7. Benaroch, M., and Dhar, V., On the Scope of Reasoning with Financial Knowledge, Journal of Organizational Computing, forthcoming.
8. Benaroch, M., and Dhar, V., Controlling the Complexity of Investment Decisions Using Qualitative Reasoning Techniques, Decision Support Systems, Vol. 15, December 1995.
9. Ramesh, B., and Dhar, V., Representing and Maintaining Process Knowledge for Large Scale Systems Development, IEEE Expert, Vol. 9, No. 4, April 1994.
10. Dhar, V., and Tuzhilin, A., Abstract Driven Pattern Discovery in Databases, IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No. 6, December 1993.
11. Croker, A., and Dhar, V., A Knowledge Representation for Constraint Satisfaction Problems, IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No. 5, October 1993.
12. Ramesh, B., and Dhar, V., Process Knowledge-Based Group Support for Requirements Engineering, IEEE Transactions on Software Engineering, Vol. 18, No. 6, June 1992.
13. Dhar, V., and Jarke, M., On Modeling Process, Decision Support Systems, Vol. 8, Fall 1992.
14. Chen, H., and Dhar, V., Cognitive Process as a Basis for Intelligent Retrieval Systems Design, Information Processing and Management, Vol. 27, No. 3, 1991.
15. Dhar, V., and Ranganathan, N., Integer Programming vs. Expert Systems: An Experimental Comparison, Communications of the ACM, Vol. 33, No. 3, March 1990.
16. Chen, H., and Dhar, V., User Misconceptions of Information Retrieval Systems, International Journal of Man-Machine Studies, Vol. 32, pp. 673-692, 1990.
17. Dhar, V., A Truth Maintenance System for Supporting Constraint-Based Reasoning, Decision Support Systems, Vol. 5, Fall 1989.
18. Peters, J., Lewis, B., and Dhar, V., Assessing Inherent Risk During Audit Planning: The Development of a Knowledge-Based Model, Accounting, Organizations, and Society, Vol. 14, No. 4, pp. 359-378, 1989.
19. Dhar, V., Lewis, B., and Peters, J., A Knowledge-Based Model of Inherent Risk, AI Magazine, Vol. 9, No. 3, Fall 1988.
20. Dhar, V., and Jarke, M., Learning and Dependency-directed Reasoning in Systems Maintenance Support, IEEE Transactions on Software Engineering, Vol. 14, No. 2, February 1988.
21. Dhar, V., and Croker, A., Knowledge-Based Systems in Business: Issues and a Solution, IEEE Expert, Vol. 3, No. 1, February 1988.
22. Dhar, V., and Pople, H., Rule-Based Versus Structure-Based Models in Explaining and Generating Expert Behavior, Communications of the ACM, Vol. 30, No. 6, June 1987.
23. Dhar, V., On the Plausibility and Scope of Expert Systems in Management, Journal of Management Information Systems, Vol. 3, No. 3, Summer 1987.
24. Dhar, V., Non-chronological Backtracking Employing Knowledge Used in Heuristic Search, Computational Intelligence: An International Journal, Vol. 2, No. 3, 1986.

TRADE JOURNAL ARTICLES
25. Dhar, V., and Stein, R., Finding Robust and Usable Patterns with Data Mining: Examples from Finance, PCAI September/October, 1998.
26. Dhar, V., and Stein, R., Neural Networks in Finance: The Importance of Methodology over Technology, PCAI, July/August 1998.
27. Stein, R., and Dhar, V., Satisfying Customers: Intelligently Scheduling High Volume Service Requests, AI Expert, December 1994.

REFEREED PROCEEDINGS ARTICLES
28. Mc Macskassy, S, Hirsh, H., Provost, F., Sankaranarayanan, R.,Dhar, Vasant., Intelligent Information Triage, The 24th Annual Internationl Conference on Research and Development in Information Retrieval (SIGIR), September 2001.
29. Dhar, V., and Sundarajan, A., Customer Interaction Patterns in Electronic Commerce: Maximizing Information Liquidity for Adaptive Decision Making, European Conference of Information Systems, Vienna, Austria, July 2000.
30. Madhavan, R., Dhar, V., and Weigend, A., The Value of Transparency: An Empirical Comparison of GARCH, Rule-Based, and Neural Net Trading Models, Neural Networks in Capital Markets, December 1997.
31. Johar, H., and Dhar, V., Dependency Based Coordination for Consistent Solutions in Distributed Work, Information and Knowledge Management, CIKM-92, Baltimore, MD, November, 1992.
32. Benaroch, M., and Dhar, V., Qualitative Synthesis of System Configurations Based on Desired Behavior, 9th Canadian Conference on Artificial Intelligence, Vancouver, Canada, IEEE Press, May 1992.
33. Ramesh, B., and Dhar, V., Process Knowledge-Based Modification in Systems Development, AAAI-92 Stanford Spring Symposium, Stanford, CA, March 1992.
34. Benaroch, M., and Dhar, V., A Knowledge-Based Approach to Solving Hedge Design Problems, First International Conference on Wall Street Applications, New York, NY, October 1991.
35. Ramesh, B., and Dhar, V., Process Knowledge-based Modification in Systems Development, working paper, Naval Postgraduate School, Monterey, CA, October 1991. Also appears in AAAI-92 Stanford Spring Symposium.
36. Ramesh, B., and V. Dhar, Representation and Maintenance of Process Knowledge for Large Scale Systems Development, Sixth Knowledge Based Software Engineering Conference, Rome Laboratory, Syracuse, NY, September 1991.
37. Ramesh, B., and V. Dhar, Capturing and Reasoning with Process Knowledge in Large Scale Systems Design and Maintenance, Workshop on Design Synthesis, S. Howell, ed., Silver Springs, MD, September 1991.
38. Benaroch, M., and Dhar, V., An Intelligent System for Financial Hedging, Seventh IEEE Conference on Artificial Intelligence Applications, Miami, FL, February 1991.
39. Chen, H., and Dhar, V., Online Query Refinement in IRS: A Process Model of Searcher/System Interaction, 13th International Conference on Research and Development in Information Retrieval, Brussels, Belgium, September 5-7, 1990.
40. Rossi, F., Dhar, V., and Petrie, C., On the Equivalence of Constraint Satisfaction Problems, Eleventh European Conference on Artificial Intelligence, Stockholm, Sweden, August 1990.
41. Chen, H., and Dhar, V., A Knowledge-based Approach to the Design of Document-based Retrieval Systems, Seventh International Conference on Office Information Systems, MIT, Cambridge, MA, April 1990.
42. Ramesh, B., and Dhar, V., Knowledge-Based Support for Systems Design and Maintenance, Workshop on Automated Systems Design, Eleventh International Joint Conference on Artificial Intelligence, Detroit, MI, August 1989.
43. Dhar, V., Ramesh, B., and Jarke, M., The REMAP Project: An Environment for Supporting Requirements Analysis and Maintenance, Artificial Intelligence and Software Engineering, AAAI Spring Symposium, March 1989.
44. Chen, H., and Dhar, V., Reducing Indeterminism in Consultation: A Cognitive Model of User/Librarian Interactions, American Association of Artificial Intelligence (AAAI), Seattle, WA, July 1987.
45. Dhar, V., and Ranganathan, P., Automating Review of Forms for International Trade Transactions: A Natural Language Processing Approach, Third International Conference on Office Information Systems, Carl Hewitt. ed., Providence, RI, October 1986.
46. Orlikowski, W., and Dhar, V., Imposing Structure on Linear Programming Problems: An Empirical Analysis of Expert/Novice Models, American Association for Artificial Intelligence (AAAI), Philadelphia, PA, August 1986.
47. Dhar, V., and Jarke, M., Using Teleological Design Knowledge for Large Systems Development and Maintenance, Sixth International Workshop on Expert Systems, Avignon, France, April 1986.
48. Dhar, V., On the Plausibility and Scope of Expert Systems in Management, Nineteenth Hawaii International Conference on Systems Sciences (HICSS), Honolulu, HI, January 1986.
49. Dhar, V., and Jarke, M., Learning from Prototypes, Sixth International Conference on Information Systems (ICIS), Indianapolis, IN, December 1985.
50. Dhar, V., and Quayle, C., An Approach to Dependency Directed Backtracking Using Domain-Specific Knowledge, Ninth International Joint Conference on Artificial Intelligence (IJCAI), Los Angeles, CA, July 1985.
51. Dhar, V., and Davis, J., A Process Model of Information Requirements Analysis for Planning Management Information Systems, American Institute of Decision Sciences, Boston, MA, November 1981.

TECHNICAL REPORTS
52. Stein, R., and Dhar, V., Maximization of Organizational Uptime Using an Interactive Genetic-Fuzzy Scheduling and Support System, CRIS Working Paper IS-93-27, December 1994.
53. Dhar, V., A Value-chain Based Process Model to Support Business Process Reengineering, IBM Technical Report 17221 (#77966), February 1992.
54. Ramesh, B., and Dhar, V., Process Knowledge-based Group Support for Requirements Engineering, working paper, Naval Postgraduate School, Monterey, CA, June 1991.
55. Ramesh, B., and V. Dhar, Role of Process Knowledge in Group Decision Support, working paper, Naval Postgraduate School, Monterey, CA, December 1991.
56. Rossi, F., Dhar, V., and Petrie, C., On the Equivalence of Binary and Non-Binary Constraints, MCC Technical Report, 1989.
57. Dhar, V., Adding the Knowledge Component to Spreadsheet Systems: A Knowledge-based Architecture for the Formulation and Maintenance of Planning Models, in Expertensysteme im Untemehmen (Expert Systems in Business), H. Krallman, ed., Erich Schmidt Verlag, Berlin, West Germany, 1986.
58. Kosy, D., and Dhar, V., Knowledge-Based Systems for Long Range Planning, Technical Report, The Robotics Institute, Carnegie-Mellon University, Pittsburgh, PA, December 1983

BOOK CHAPTERS
59. Dhar, V., The Role of Machine Learning in Organizational Learning, in Managerial and Organizational Cognition, Teresa Lant and Zur Shapira (eds), Lawrence Erlbaum Associates, 1999.
Stein, R., Schocken, S., and Dhar V., A Practical Methodology for Applying Neural Networks to Business Decision Problems," Encyclopedia of Computer Science and Technology, Vol. 38, Marcel Dekker, January 1998.
60. Dhar, V., Duliba, K., and Kauffman, R., Re-Engineering Trading and Treasury Operations in International Financial Services, in Global Information Systems and Technology, C. Deans and K. Karwan, eds., Idea Group Publishing, Middletown, PA, 1994.
61. Ramesh, B., and Dhar, V., Group Support and Change Propagation in Requirements Engineering, in Development Assistance for Interactive Database Applications, M. Jarke, ed., Heidelberg, Germany, Springer Verlag, 1991.
62. Dhar, V., and Olson, M., Assumptions Underlying Systems that Support for Work Group Collaboration, Technological Support for Work Group Collaboration, Lawrence Erlbaum and Associates, New York, May 1987.

NSF GRANT RESULTS

Principal Investigator, Pattern Discovery with Very Large Databases, three-year grant awarded by The National Science Foundation, 1994-1997.

1. Dhar, V., and Chou, D., A Comparison of Nonlinear Methods for Predicting Earnings Surprises and Returns, IEEE Transactions on Neural Networks, Volume 14, Issue 4, July 2001.
2. Dhar, V., Chou, D., and Provost (2000)., Discovering Interesting Patterns in Investment Decision Making with GLOWER – A Genetic Learning Algorithm Overlaid With Entropy Reduction, Data Mining and Knowledge Discovery, October 2000.
3. Dhar, V., and Tuzhilin, A., Abstract Driven Pattern Discovery in Databases, IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No. 6, December 1993.
4. Berger, G. and Tuzhilin, A. “Discovering unexpected patterns in temporal data using temporal logic.” In Temporal Databases -- Research and Practice. O. Etzion, S. Jajodia, S. Sripada (eds.). Springer-Verlag, 1998 .
5. Berndt, D. J. “AX: searching for database regularities using concept networks,” Proceedings of the 5th Workshop on Information Technologies and Systems, Dec.1995.
6. Berndt, D., “Evaluating knowledge discovery tools,” Proceedings of the Americas Conference on Information Systems, 1996.
7.Berndt, D. and Clifford, J., “Using dynamic time warping to find patterns in time series,” Proc. of the AAAI Workshop on Knowledge Discovery in Databases, 1994.
8. Berndt, D. and Clifford, J., “Finding Patterns in Time Series: A Dynamic Programming Approach,” Ch 9. In Advances in Knowledge Discovery in Databases, AAAI Press, 1996.
9. Padmanabhan, B. and Tuzhilin, A. “Pattern Discovery in Temporal Databases: A Temporal Logic Approach.” KDD-96, 1996.
10. Sen, S., B. Padmanabhan, A. Tuzhilin, N. White, R. Stein. “On analysis of Web site usage data: How much can we learn about the consumer from Web logfiles?” European Journal of Marketing. Special Issue on Marketing in Cyberspace. vol. 32, no. 7, 1998.

Principal Investigator, REMAP: A New Approach for Large Systems Development and maintenance, three-year grant funded by the National Science Foundation, August 1988-July 1991.

I. Conceptual Model of Process:
1. Ramesh, B., and Dhar, V., Process Knowledge-Based Group Support for Requirements Engineering, IEEE Transactions on Software Engineering, volume 18, number 6, June 1992.
2. Dhar, V., and Jarke, M., On Modeling Processes, Decision Support Systems, volume 8, Fall 1992.
3. Ramesh, B., and Dhar, V., Process Knowledge-Based Modification in Systems Development, in @i[@u(AAAI-92 Stanford Spring Symposium)], Stanford, CA, March 1992.
4. Ramesh, B., and Dhar, V., Representation and Maintenance of Process Knowledge
for Large Scale Systems Development, KBSE, Syracuse, September 1991.
5. Ramesh, B., Dhar, V. (1991). Group support and change propagation in requirements engineering. In Jarke, M. (ed.): Development Assistance for Database Applications, Heidelberg: Springer-Verlag, to appear.
6. Dhar, V., Jarke, M. (1988). Dependency-directed reasoning and learning in systems maintenance support. IEEE Transactions on Software Engineering 14, 2, 211-227.
7. Ramesh, B., and Dhar, V., Knowledge-Based Support for Systems Design and Maintenence, workshop on Automated Systems Design, eleventh International
Joint Conference on Artificial Intelligence, Detroit, Michigan, August 1989.
8. Lubars, Mitchell D. and Ramesh, Balasubramaniam., Domain Analysis for Multiple Target Systems, Proceedings of the Workshop on Domain Modeling for Software Engineering, OOPSLA-89, New Orleans, October 1989.

II. Representations and Algorithms for Analysis of the Data:
1. Croker, A. and Dhar, V., A Knowledge Representation for Constraint Satisfaction Problems, to IEEE Transactions on Knowledge and Data Engineering, October 1993.
2. Rossi, F., Dhar, V., and Petrie, C., On the Equivalence of Constraint Satisfaction Problems, Proceedings of the Eleventh European Conference on Artificial Intelligence, Stockholm, Sweden, August 1990.
3. Dhar, V., A Truth Maintenance System for Supporting Constraint-Based Reasoning, @i(@u[Decision Support Systems]), Volume 5, Fall 1989.
4. Dhar, V., and Ranganathan, N., Integer Programming vs. Expert Systems: An Experimental Comparison, Communications of the ACM, volume 33, no.3, March 1990.
5. Rose, T., Jarke, M. (1990). A decision-based configuration process model. Proc. 12th Intl. Conf. Software Engineering, Nice, France.
6. Rose, T., Jarke, M., Gocek, M., Maltzahn, M., Nissen, H.W. (1991). A decision-based configuration process environment. Software Engineering Journal 6, 3 (Special Issue on Software Process and its Support).

III. Enabling Technology:
1. Mylopoulos, J., Borgida, A., Jarke, M., Koubarakis, M. (1990). Telos -- a language for representing knowledge about information systems. ACM Transactions on Information Systems 8, 4, 327-362.
2. Dhar, V., Balasubramaniam Ramesh, and Matthias Jarke., An Environment for Supporting Requirements Analysis and Maintenance, Proceedings of the AAAI-89 Spring Symposium on Artificial Intelligence and Software Engineering, Stanford, CA, March 1989.
3. Hahn, U., Jarke, M., Rose, T. (1991). Teamwork support in a knowledge-based
software environment. IEEE Transactions on Software Engineering 17, 5, 67-482.
Jarke, M. (1989). The DAIDA demonstrator: development assistance for interactive database applications. Proc. ESPRIT Conf., Brussels, Belgium.
4. Jarke, M. (1991). Specification management with CAD-o. In Loucopoulos, P., Zicari, R. (eds.): Conceptual Modelling, Databases, and CASE, Chichester, UK: John Wiley, to appear.
5. Jarke, M., Jeusfeld, M., Rose, T. (1990). A software process data model for knowledge engineering in information systems. Information Systems 15, 1, 86-115.
6. Jarke, M., Mylopoulos, J., Schmidt, J.W., Vassiliou, Y. (1991). DAIDA: an environment for evolving information systems. ACM Transactions on Information Systems, to appear.
7. Jeusfeld, M., Jarke, M. (1991). From relational to object-oriented integrity simplification. Proc. 2nd Intl. Conf. Deductive and Object-Oriented Databases, Munich, Germany.
8. Jeusfeld, M., Mertikas, M., Wetzel, I., Jarke, M., Schmidt, J.W. (1990).
Database application development as an object modeling activity. Proc. 16th Intl. Conf. Very Large Data Bases, Brisbane, Australia.