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Information Systems & Decision Sciences |
Department of Information
Systems and Decision Sciences
Senior Fellow,
The
July
1999 – June 2007:
Assistant Professor, Operations and Information
Management Department
July
1998 – June 1999:
Lecturer, Operations and Information Management
Department
Morgan Stanley Inc.,
May
1996 - September 1996:
Summer Associate, Data Mining Division
August
1993 - June 1998:
Research Assistant and Webmaster
Ph.D.
(Information Systems), 1999
M.A. (Information Systems), 1996
B.Tech. (Computer Science), 1993
Indian
Institute of Technology (IIT)
Chennai
(
Information
& communication technologies and their impact on business and society
Design
and evaluation of information systems, particularly Web-based systems
Computational
methods in business
Data
mining and data-driven decision making
Learning
from clickstream data on the Web
Articles published in
refereed journals
1.
Selectively
Acquiring Customer Information: A New Data Acquisition Problem and an Active
Learning Based Solution, Z. Zheng and B. Padmanabhan. In Management Science, 52(5), pp. 697-712, 2006.
2.
An Empirical
Analysis of the Value of Complete Information for eCRM Models, B. Padmanabhan, Z. Zheng and S.
Kimbrough. In MIS Quarterly, 30(2),
pp. 247-267, 2006.
3.
On
Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery,
B. Padmanabhan and A. Tuzhilin. In IEEE Transactions on Knowledge and Data
Engineering, 18(2), pp.202-216, 2006.
4.
Constructing
Ensembles from Data Envelopment Analysis, Z. Zheng and B. Padmanabhan. Forthcoming
in INFORMS Journal on Computing.
5.
GHIC: A
Hierarchical Pattern Based Clustering Algorithm for Grouping Web Transactions,
Y. Yang and B. Padmanabhan. In IEEE
Transactions on Knowledge and Data Engineering, 17(9), pp.1300-1304, 2005.
6.
Evaluation of
Online Personalization Systems: A Survey of Evaluation Schemes and A
Knowledge-Based Approach, Y. Yang and B. Padmanabhan. In Journal of Electronic Commerce Research 6(2), pp.112-122, 2005. A
short conference paper, not listed below, was presented at WITS 2001.
7.
The Interestingness
Paradox in Pattern Discovery, B. Padmanabhan. In Journal of Applied Statistics, 31(8), pp. 1019-1035, 2004.
8.
On the Use of
Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities, B.
Padmanabhan and A. Tuzhilin. In Management
Science, 49(10), pp. 1327-1343, 2003.
9.
On the Existence
and Significance of Data Preprocessing Biases in Web Usage Mining, Z. Zheng, B. Padmanabhan and S. Kimbrough.
In INFORMS Journal on Computing, 15(2),
pp. 148-170, 2003.
10.
Knowledge
Refinement Based on the Discovery of Unexpected Patterns in Data Mining, B. Padmanabhan and A. Tuzhilin. In Decision Support Systems, 33(3), pp.
309-321, 2002.
11.
Unexpectedness as
a Measure of Interestingness in Knowledge Discovery, B. Padmanabhan and A. Tuzhilin.
In Decision Support Systems, 27(3),
pp. 303-318, 1999.
12.
The
Identification and Satisfaction of Customer Analysis Driven Information Needs
of Marketers on the WWW, S. Sen, B. Padmanabhan, A. Tuzhilin, N. White and R. Stein.
In European Journal of Marketing, 32(7/8),
pp. 688-702, 1998.
Highly Refereed Conference
Publications
Articles in Proceedings
of the KDD and ICDM Conferences.
The ACM Knowledge Discovery in Databases (KDD) conference and the IEEE
Conference on Data Mining (ICDM) are premier data mining conferences which
publish full-length, triple refereed papers.
13.
Cluster evolution
and interpretation via penalties, D. Fleder and B. Padmanabhan. In Proceedings of the IEEE Conference on Data
Mining 2006, Workshop on Data Mining for Design and Marketing.
14.
On the Discovery
of Significant Statistical Quantitative Rules, H. Zhang, B. Padmanabhan and A.
Tuzhilin. In Proceedings of KDD 2004,
pp. 374-383, 2004 (Full paper. Acceptance rate 40 of 337 submissions).
15.
A DEA Approach
for Model Combination, Z. Zheng, B. Padmanabhan and H. Zheng. In Proceedings of KDD 2004, pp. 755-760,
2004 (Poster paper. Acceptance rate 45 posters, 40 full of 337 submissions). An
extended version of this was published as article #4.
16.
Segmenting
Customer Transactions Using a Pattern-Based Clustering Approach, Y. Yang and B.
Padmanabhan. In Proceedings of ICDM 2003,
pp. 411-419, 2003 (Full paper. Acceptance rate 58 of 501 submissions). An
extended version was published as article #5.
17.
On Active
Learning for Data Acquisition, Z. Zheng and B. Padmanabhan. In Proceedings of ICDM 2002, pp. 562-570,
2002 (Full paper. Acceptance rate 72 of 369 submissions).
18.
Personalization
from Incomplete Data: What You Don’t Know Can Hurt, B. Padmanabhan, Z. Zheng and
S. Kimbrough. In Proceedings of KDD 2001,
pp. 154-164, 2001 (Full paper. Acceptance rate 20 of 203 submissions).
19.
Small is
Beautiful: Discovering the Minimal Set of Unexpected Patterns, B. Padmanabhan,
and A. Tuzhilin. In Proceedings of KDD
2000, pp. 54-64, 2000 (Full paper. Acceptance rate 26 of 248 submissions).
An extended version of this was published as article #3.
20.
A Belief-Driven
Method for Discovering Unexpected Patterns, B. Padmanabhan and A. Tuzhilin. In Proceedings of KDD 1998, pp. 94-100, 1998 (Full paper. Acceptance
rate 18 of 250 submissions). An extended version of this was published as
article #11. A prior (more restrictive) algorithm was presented as a short
paper in WITS 97 (not listed below). An invited book chapter was reprinted with
modifications in Data mining, rough sets and granular
computing, Tsau Lin, Yiyu Yao and Lotfi Zadeh eds, Physica-Verlag,
2002.
21.
Pattern Discovery
in Temporal Databases: A Temporal Logic Approach, B. Padmanabhan and A. Tuzhilin.
In Proceedings of KDD 1996, pp.
351-355, 1996 (Poster paper. Acceptance rate 30 posters, 42 full of 215 submissions).
Articles in
Proceedings of the WITS Conferences.
The Workshop on Information Technology and Systems (WITS) publishes
short papers that are triple refereed, and is a mainstream venue for new
research in the business school Information Systems community, often
specifically attracting technical work (in the sense of having more of a
technology / systems-centric perspective).
22.
Query-Driven
Conceptual Browsing, K. Jerath and B. Padmanabhan, 2005. In Proceedings of WITS 2005, pp. 117-122,
2005 (Acceptance rate 42 of 153 submissions).
23.
Using
Randomization to Determine a False Discovery Rate for Rule Discovery, H. Zhang and
B. Padmanabhan. In Proceedings of WITS
2004, pp. 140-145, 2004 (Acceptance rate 42 of 157 submissions).
24.
Divide and
Conquer: An Approach to Model Building Using Pattern-based Clustering, Y. Yang and B. Padmanabhan. In Proceedings of WITS 2003, pp. 165-170, 2003
(Acceptance rate 37 of 112 submissions).
25.
On Usage Metrics
for Determining Authoritative Sites, S. Kimbrough, B. Padmanabhan and Z. Zheng.
In Proceedings of WITS 2000, pp. 43-49,
2000 (Acceptance rate 39 of 79 submissions).
Articles in other conference
proceedings.
26.
On Original
Generation of Structure in Legal Documents,
27.
Web Living Case:
A Web Based Business Case Delivery System for Collaborative Work, R. Madhavan, B. Padmanabhan and J.Turner. One
page abstract on Technologies in Action
in Proceedings of ICIS, pp. 522, 1996.
28.
Identification
and Valuation of Real Options in Technology Investments, A. Damodaran, A. Kambil and B. Padmanabhan. Extended
abstract in Proceedings of the Americas Conference
on Information Systems, pp.335-337, 1996.
29.
A Web Based
Decision Simulation,
Working Papers (drafts available)
30.
Clickprints on
the Web: Are there Signatures in Web Browsing Data? B. Padmanabhan and Y. Yang
(in preparation for submission to Information
Systems Research in Fall 07).
31.
On Cluster
Evolution: An Integrated Approach to Discovering and Describing Changes, D.
Fleder and B. Padmanabhan (in preparation for submission to INFORMS Journal on Computing in Fall 07).
32.
Pattern Discovery
and Web Clickstream Data: A Framework and Applications. B. Padmanabhan (conditionally
accepted as a chapter for Business
Computing, Elsevier).
33.
Inferring
Competitive Measures from Aggregate Data: Information Sharing Using Stochastic
Models, Z. Zheng, B. Padmanabhan and P. Fader.
34.
On the Use of
Patterns for Leveraging Unlabeled Data for Classification, Y. Yang and B.
Padmanabhan.
Dissertation
Advisor (Chair)
· Zhiqiang Zheng.
Dissertation title: “On an Incomplete Data Problem in Modeling:
Evidence from Web Usage Mining and a General Purpose Solution”.
Defended his dissertation in May 2003 and currently an Assistant
Professor at
·
Dissertation Title: “New Data Mining and Marketing Approaches for
Segmentation and Promotion Planning on the Internet”.
Defended her dissertation in May 2004 and currently an Assistant
Professor at
· Hong Zhang.
Working on his dissertation on the use of randomization in rule
discovery. Currently at Citibank.
Dissertation
Committee Member:
· Shinyi Wu (2003), OPIM Dept, The
· Gedas Adomavicius (2002), Courant Institute
of Mathematical Sciences, NYU.
· Garrett Dworman (1999), OPIM Dept, The
·
Designed and
taught undergraduate, MBA and doctoral courses at Wharton.
·
Developed a
technology elective, Enabling
Technologies.
·
Received an
Excellence in Teaching Award, Wharton Undergraduate Division.
·
Nominated for a university-wide
Lindback Award for distinguished teaching.
·
Taught in the
Wharton eFellows program and in the Executive Masters in Technology Management
(EMTM) program.
Summary of courses taught at Wharton and teaching
evaluations from Fall 2000-Fall 2006
(the
scale for evaluations was 0 to 4):
·
Taught 15
sections of Enabling Technologies.
Avg. evaluations in the 9 MBA
sections: instructor eval. 3.67, course eval. 3.43.
Evaluations in the 6 UG
sections: instructor
eval. 3.68, course eval. 3.42.
·
Taught 4 sections
of Computer Mediated Communication.
Avg. evaluations in the 2 MBA
sections: instructor
eval. 3.55, course eval. 3.52.
Avg. evaluations in the 2 UG
sections: instructor eval. 3.44,
course eval. 3.27.
·
Taught 5 sections
of the UG core course, OPIM 101
Avg. evaluations: instructor
eval. 3.41, course eval. 2.96.
·
Taught 1 section
of Decision Support Systems
Avg. evaluations: instructor
eval. 3.35, course eval. 2.87.
·
Taught two PhD
seminar courses.
Avg. evaluations: instructor
eval. 3.29, course eval. 3.25.
Summary of teaching evaluations from Spring 1999-Spring
2000
(the
scale for evaluations was 1 to 5):
·
Taught 4 sections
of Computer Mediated Communication.
Avg. evaluations in the 2 MBA
sections: instructor eval. 4.35, course eval. 4.37 .
Avg. evaluations in the 2 UG
sections: instructor eval. 4.47,
course eval. 4.08 .
·
Taught 2 sections
of Decision Support Systems
Avg. evaluations: instructor
eval. 4.42, course eval. 4.35.
·
Taught a PhD
seminar course on Knowledge Based Systems.
Avg. evaluations: instructor
eval. 4.88, course eval. 4.38 .
Courses taught at the Stern School of Business, New
York University
· C20.0001, Computer Based Systems for Management
Support (1997).
·
Designed and
taught modules on the Internet and World Wide Web for MBA students.
· Excellence in Teaching Award, Wharton Undergraduate
Division, 2003.
· Nominated for the
· Pfizer Inc., $15,000 grant, Fall 2002.
· Wharton eBusiness Initiative, $20,000 grant, Summer
2001.
· Wharton eBusiness Initiative, $20,000 grant, Summer
2002.
· Wharton eBusiness Initiative, $12,000 grant, Summer
2004.
· One of seven investigators at Wharton in a grant from
Lockheed Martin Corporation on “Analyzing Issues Related to Interdependent
Extreme Terrorism Risks”, 2006.
· NJ Society of Information Management, Best
Dissertation Paper award, 2nd place, 1998.
·
ICIS Doctoral Consortium, 1997.
· Dean's Fellowship,
· Fellowship, New York University, 1993-1996.
· AAAI Scholarship to present at KDD 1996.
· National Talent Scholarship, University Grants
Commission, Government of
To the Information Systems and Decision
Sciences Department at COBA,
· Ph.D. Coordinator, 2007-current.
· Chair, ISDS Doctoral Program Review Committee
To the Operations & Information
Management department at Wharton:
· Ph.D. Committee member 1999-2006.
· Served on the faculty recruiting committee in 1999,
2004 and on the department seminar organizing committee in 2000.
· Served as a reader for the OPIM scholars program for
doctoral students in 2005, 2006.
· Part of the undergraduate core course teaching and
re-design team, 2004-current.
· Supervised numerous independent studies at the
undergraduate, MBA and doctoral levels.
To The
·
Panel Moderator
for various student-run conferences including:
Emerging
Technologies. Wharton
Directions
in Telecom. Wharton Entrepreneurship Conference, November 2001.
Wireless
Beyond Voice. Wharton Technology Conference, February 2002.
On
Fixing Telecom: Wharton Technology Conference, February 2003.
Web
Services: Wharton Technology Conference, February 2003.
Wireless
Technologies: Wharton Technology Conference, February 2004
Web
Services: Wharton Technology Conference, February 2004
·
One of three
judges for the AOL Case Competition held at the AOL headquarters, Feb. 2005.
·
Made
presentations specifically geared for opportunities in the technology sector.to
both undergraduate and MBA student groups ahead of recruiting seasons.
To the community:
·
Publicity Chair,
IEEE Conference on Data Mining, 2003.
·
Program Committee
Member for:
Workshop on Information Tech. and
Systems (WITS) 2000, 2003, 2004, 2005, 2006, 2007.
Advisory Board Member, SIG-DSS
Workshop, ICIS.
ACM KDD 2001, 2007
ACM SIGMOD Workshop on Data Mining and Knowledge
Discovery 2002
IEEE Conference on Data Mining 2003, 2006, 2007.
ECML/PKDD 2006
Information Integration and Web-based Applications
& Services (IIWAS) 2001
·
Vice-chair,
INFORMS College on Artificial Intelligence, 2007.
·
Organized/chaired
two invited paper sessions at the International Conference on Electronic
Commerce, 2007.
·
Editorial service
Ad-hoc Associate Editor, Management
Science
Editorial Review Board Member,
Journal of Database Management.
·
Reviewer for:
ACM Computing Surveys
Annals of Operations Research
Communications of the ACM
Data and Knowledge Engineering Journal
Decision Support Systems
Environment and Planning B
European Journal of OR
IBM Systems Journal
IEEE Transactions on Intelligent Transportation
Systems
IEEE Transactions on Knowledge and Data Engineering
Information Systems Research
Information Technology and Management
Interfaces
Journal of AI Research
Journal of Database Management
Journal of Machine Learning Research
Journal of Strategic Information Systems
Management Information Systems Quarterly
Management Science
Pharmacoepidemiology and Drug Safety
For several KDD, ICDM, HICSS, ICIS and WITS
conferences each year.
·
Organized a data
mining competition as part of the KDD-CUP Organizing Committee, 1997.
·
Worked with the
Futures Industry Association in developing electronic standards. Presented at
the Options and Futures Industry Association Conference at
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Microsoft
Research / Microsoft Live Labs, March 2007.
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Yahoo!,
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The
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Winter
Information Systems Conference at