Publication List
Updated 11/09
Working papers
- D. Yuan and W. N. Street.
- Inducing consideration sets with HACS: Heuristic Algorithm for
Clustering Subsets.
Journal submission, under review.
- K. Ataman, W. N. Street, A. M. McCarthy, C. Kleiber,
K. Hanrahan, M. B. Zimmerman and A. L. Ersig.
- Using data mining to build a predictive model of child distress
with a medical procedure.
Journal submission, under review.
- M. Khoshneshin and W. N. Street.
- Incremental collaborative filtering via evolutionary
co-clustering.
Conference submission, under review.
- S.-C. Chin, W. N. Street, P. Srinivasan, and
D. Eichmann.
- Detecting Wikipedia vandalism with active learning and
statistical language models.
Conference submission, under review.
- M. Khoshneshin and W. N. Street.
- Collaborative filtering via multidimensional scaling.
Conference submission, under review.
2009
- L. Duan and W. N. Street.
- Finding maximal fully-correlated itemsets in large databases.
IEEE International Conference on Data Mining (ICDM 2009), accepted.
- C.-L. Chi, W. N. Street and D. A. Katz
- A decision support system for cost-effective diagnosis.
Artificial Intelligence in Medicine, conditionally accepted.
- J. Wang and W. N. Street.
- Estimating missing attribute
values using dynamically-ordered attribute trees.
Fourth INFORMS Workshop on Data Mining and System
Informatics, San Diego, CA, October 2009.
- S. Yasar Saglam and W. N. Street.
- Dynamic ensemble construction
via heuristic optimization.
Fourth INFORMS Workshop on Data Mining and System
Informatics, San Diego, CA, October 2009.
- D.-F. Lu, W. N. Street, F. Currim, R. Hylock and
C. Delaney.
- A data modeling process for decomposing
healthcare patient data sets.
Online Journal of Nursing Informatics 13(1), February 2009.
2008
- R. Hylock, W. N. Street and D.-F. Lu.
-
NursingCareWare: Warehousing and knowledge discovery for a
nursing care data set.
Third INFORMS Workshop on Data Mining and Health
Informatics, Washington, D.C., October 2008.
- L. Duan, W. N. Street and D.-F. Lu.
-
A nursing care plan recommender system using a data mining
approach.
Third INFORMS Workshop on Data Mining and Health
Informatics, Washington, D.C., October 2008.
- C.-L. Chi and W. N. Street.
-
The optimal diagnostic decision sequence.
American Medical Informatics Association Annual Symposium
(AMIA 2008) (poster paper), page 902, Washington, D.C.,
November 2008.
- Y. Zhang and W. N. Street.
- Bagging with adaptive costs.
IEEE Transactions on Knowledge and Data Engineering
20(5):577-588, May 2008.
- C.-L. Chi, W. N. Street and M. M. Ward.
-
Building a hospital referral expert system with a prediction and
optimization-based decision support system algorithm.
Journal of Biomedical Informatics 41:371-386, April 2008.
2007
- C.-L. Chi, W. N. Street and W. H. Wolberg.
- Application of artificial neural
network-based survival analysis on two breast cancer
datasets.
American Medical Informatics Association Annual Symposium
(AMIA 2007), pages 130-134, Chicago, IL, November 2007.
- C.-L. Chi and W. N. Street.
- A data mining technique for
risk-stratification diagnosis.
American Medical Informatics Association Annual Symposium
(AMIA 2007) (poster paper), page 909, Chicago, IL, November 2007.
- D. Yuan and W. N. Street.
- HACS: A heuristic algorithm for clustering
of subsets.
SIAM International Conference on Data Mining (SDM07),
Minneapolis, MN, April 2007.
2006
- Y. Zhang, S. Burer and W. N. Street.
- Ensemble pruning via
semi-definite programming.
Journal of Machine Learning Research 7:1315-1338, July 2006.
- Y. Kim, W. N. Street and F. Menczer.
- Optimal ensemble construction via
meta-evolutionary ensembles.
Expert Systems with Applications 30(4):705-714, May 2006.
- X. Y. Qiu, P. Srinivasan and W. N. Street.
- Exploring the forecasting potential of
company annual reports.
American Society for Information science and Technology
(ASIS&T 2006), November 2006.
- K. Ataman, W. N. Street and Y. Zhang.
- Learning to rank by maximizing AUC
with linear programming.
IEEE International Joint Conference on Neural Networks (IJCNN
2006), pages 123-129, July 2006.
- K. Ataman and W. N. Street.
- Hierarchical local
clustering for constraint reduction in rank-optimizing linear
programs.
First INFORMS Workshop on Artficial Intelligence and Data Mining,
Pittsburgh, PA, November 2006.
- D.-F. Lu, W. N. Street and C. Delaney.
- Knowledge discovery: Detecting elderly
patients with impaired mobility.
Ninth International Congress on Nursing Informatics (NI 2006),
pages 121-123, June 2006.
2005
- Y. Zhang and W. N. Street.
- Bagging with adaptive costs.
Fifth IEEE International Conference on Data Mining (ICDM 2005),
pages 825-828, December 2005.
- Y. Zhang, W. N. Street and S. Burer.
- Sharing classifiers among ensembles from
related problem domains.
Fifth IEEE International Conference on Data Mining (ICDM 2005),
pages 522-529, December 2005.
- K. T. Phillips and W. N. Street.
-
Predicting outcomes of hospitalization for heart failure using
logistic regression and knowledge discovery methods.
American Medical Informatics Association Annual Symposium
(AMIA 2005) (poster paper), page 1080, Washington, D.C.,
October 2005.
- Y. Kim, W. N. Street, G. Russell and F. Menczer.
-
Customer targeting: A neural network approach
guided by genetic algorithms.
Management Science 51(2):264-276, February 2005.
- W. N. Street.
- Oblique multicategory decision trees using
nonlinear programming.
INFORMS Journal on Computing 17(1):25-31, Winter 2005.
2004
- E. Catona, P. Srinivasan, W. N. Street.
- Protien annotation with GO codes.
11th World Congress on Medical Informatics (Medinfo 2004),
page 1543.
- K. Lee and W. N. Street.
- Cluster-driven refinement for content-based
digital image retrieval.
IEEE Transactions on Multimedia 6(6):817-827, December 2004.
- Y. Kim and W. N. Street.
-
An intelligent system for customer targeting: A
data mining approach.
Decision Support Systems 37(2):215-228, 2004.
2003
- K. Lee and W. N. Street.
- A time- and memory-efficient algorithm
for automated segmentation of breast cancer nuclei.
Journal of Korea Information Science Society 30(9-10):973--982,
October 2003 (in Korean).
- K. Lee and W. N. Street.
- An adaptive resource-allocating network for
automated detection, segmentation, and classification of breast
cancer nuclei.
IEEE Transactions on Neural Networks 14(3):680-687, May 2003.
- K. Lee and W. N. Street.
- Model-based detection, segmentation and
classification for image analysis using on-line shape learning.
Machine Vision and Applications 13(4):222-233, 2003.
- Y. Kim, W. N. Street, F. Menczer, and G. J. Russell.
- Feature selection in data mining.
In J. Wang, editor, Data Mining: Opportunities and Challenges,
Idea Group Publishing, 2003, pages 80-105.
(bibliography)
2002
- F. Menczer, A. E. Monge and W. N. Street.
- Adaptive assistants for customized
e-shopping.
IEEE Intelligent Systems 17(6):12-19, Nov-Dec 2002.
- W. H. Wolberg and W. N. Street.
- Computer-generated nuclear features
compared to axillary lymph node status and tumor size as
indicators of breast cancer survival.
Human Pathology 33(11):1086-1091, Nov. 2002.
- Y. Kim, W. N. Street and F. Menczer.
- Evolutionary model selection in unsupervised
learning
Intelligent Data Analysis 6:531-556, 2002.
- F. Menczer, W. N. Street, N. Vishwakarma, A. Monge and
M. Jakobsson.
-
IntelliShopper: A proactive, personal, private shopping
assistant.
First International Joint Conference on Autonomous Agents and
Multiagent Systems (AAMAS 2002), pages 1001-1008, July 2002.
- K. Lee and W. N. Street.
- Incremental feature weight learning and its
application to a shape-based query system.
Pattern Recognition Letters 23(7): 865-874, May 2002.
- Y. Kim, W. N. Street and F. Menczer.
-
Meta-Evolutionary Ensembles.
IEEE International Joint Conference on Neural Networks (IJCNN
2002), pages 2791-2796, May 2002.
2001
- K. Lee and W. N. Street.
- Intelligent object-based image retrieval
using cluster-driven personal preference learning.
24th ACM International Conference on Research and Development in
Information Retrieval (SIGIR 2001), pages 436-437, September
2001.
- K. Lee and W. N. Street.
- Intelligent image analysis using adaptive
resource-allocating network.
IEEE International Workshop on Neural Networks for Signal
Processing 2001, pages 363-372, September 2001.
- W. N. Street and Y. Kim.
- A streaming ensemble algorithm (SEA) for
large-scale classification.
Seventh ACM SIGKDD International Conference on Knowledge
Discovery & Data Mining (KDD-01), pages 377-382, San
Francisco, CA, August 2001.
- K. Lee and W. N. Street.
- Automatic feature mining for personalized
digital image retrieval.
International Workshop on Multimedia Data Mining (MDM/KDD 2001),
pages 38-43, San Francisco, CA, August 2001.
- Y. Kim, W. N. Street and F. Menczer.
- Unsupervised model selection via
evolutionary local search.
International Joint Conference on Artificial Intelligence
(IJCAI-01) Workshop on Wrappers for Performance Enhancement in
Knowledge Discovery in Databases, pages 9-14, Seattle, WA,
August 2001.
- Y. Kim, W. N. Street and F. Menczer.
- An evolutionary multi-objective local selection
algorithm for customer targeting.
Congress on Evolutionary Computing (CEC2001), pages 759-766,
Seoul, Korea, May 2001.
- F. Menczer, W. N. Street, M. Degeratu.
-
Evolving heterogeneous neural agents by local selection.
In V. Honavar, M. Patel and K. Balakrishnan, editors, Advances in
the Evolutionary Synthesis of Intelligent Agents, MIT Press,
2001, pages 337-366.
2000
- K.-M. Lee and W. N. Street
- Automatic segmentation and classification
using on-line shape learning.
In Proceedings of the Fifth IEEE Workshop on the Application of
Computer Vision (WACV2000), pages 64-70, Palm Springs, CA,
December 2000.
- Y. Kim and W. N. Street
- CoIL Challenge 2000: Choosing and explaining
likely caravan insurance customers.
In P. van der Putten and M. van Someren (eds), CoIL
Challenge 2000: The Insurance Company Case. Sentient Machine Research,
Amsterdam, June 2000. Winner, description task.
- K.-M. Lee and W. N. Street
- Dynamic learning of shape for automatic object
recognition
In ICML-2000 Workshop on Machine Learning of Spatial
Knowledge, pages 44-49, Stanford, CA, June-July 2000.
- K.-M. Lee and W. N. Street
- Learning shapes for automatic image
segmentation.
In Proceedings of the INFORMS-KORMS Conference, pages 1461-1468,
Seoul, Korea, June 2000.
- Y. Kim, W. N. Street, and F. Menczer
- Feature selection in unsupervised learning
via evolutionary search.
In Proceedings of the Sixth ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-00),
pages 365-369, 2000.
- K.-M. Lee and W. N. Street
- Generalized Hough transforms with flexible
templates.
In Proceedings of the 2000 International Conference on
Artificial Intelligence (IC-AI), Las Vegas, NV, June 2000.
- F. Menczer, M. Degeratu, and W. N. Street.
-
Efficient and scalable Pareto optimization by evolutionary local
selection algorithms.
Evolutionary Computation 8(2): 223-247, Summer 2000.
- W. N. Street.
-
Xcyt: A system for remote cytological diagnosis and
prognosis of breast cancer.
In L.C. Jain, editor, Soft Computing Techniques in Breast Cancer
Prognosis and Diagnosis, World Scientific Publishing,
Singapore, 2000, pages 297-322.
1999
- W.H. Wolberg, W.N. Street and O.L. Mangasarian.
- Importance of nuclear morphology in breast
cancer prognosis.
Clinical Cancer Research 5, 3542-3548, November 1999.
- K.-M. Lee and W. N. Street.
- A fast and robust approach for automated
segmentation of breast cancer nuclei.
In Proceedings of the Second IASTED International Conference on
Computer Graphics and Imaging, Palm Springs, CA, October 1999,
pages 42--47.
- D. Eichmann, M. E. Ruiz, P. Srinivasan, W. N. Street, C. Culy,
and F. Menczer.
- A cluster-based approach to tracking,
detection and segmentation of broadcast news.
DARPA Broadcast News Workshop, Herndon, VA, Feb. 28 - Mar 3
1999.
1998
- W. N. Street.
-
A neural network model for prognostic prediction.
In J. Shavlik, editor, Proceedings of the
Fifteenth International Conference on Machine Learning,
pages 540-546, San Francisco, 1998. Morgan Kaufmann.
(abstract)
- W. N. Street and O. L. Mangasarian.
-
Improved generalization via tolerant training.
Journal of Optimization Theory and Applications 96(2):259-279,
February 1998.
(abstract)
- P. S. Bradley, O. L. Mangasarian, and W. N. Street.
-
Feature selection via mathematical programming.
INFORMS Journal on Computing 10(2):209-217, 1998.
(abstract)
1997
- W. H. Wolberg, W. N. Street, and O. L. Mangasarian.
- Computer-derived nuclear features compared
with axillary lymph node status for breast cancer prognosis.
Cancer Cytopathology 81(3):172-179, 1997.
- P. S. Bradley, O. L. Mangasarian, and W. N. Street.
-
Clustering via concave minimization.
In M. C. Mozer, M. I. Jordan and T. Petsche, eds.,
Advances in Neural Information Processing Systems 9, pages
368-374, MIT Press, Cambridge, MA, 1997.
(abstract)
- W. H. Wolberg, W. N. Street, and O. L. Mangasarian.
- Computerized diagnosis of breast fine needle
aspirates.
The Breast Journal, Vol. 3 No. 2, pages 77-80, March/April 1997.
- M. W. Teague, W. H. Wolberg, W. N. Street, O. L. Mangasarian,
S. Labremont, and D. L. Page.
- Indeterminate fine needle aspiration of
the breast: Image analysis aided diagnosis.
Cancer Cytopathology 81: 129-135, 1997.
(abstract)
1996
- W. N. Street, O. L. Mangasarian, and W. H. Wolberg.
-
Individual and collective prognostic prediction.
Technical Report 96-01, Computer Sciences Department, University of
Wisconsin, Madison, WI, January 1996.
(abstract)
1995
- W. N. Street, O. L. Mangasarian, and W.H. Wolberg.
- An inductive learning approach to prognostic
prediction.
In A. Prieditis and S. Russell, editors, Proceedings of the
Twelfth International Conference on Machine Learning, pages 522-530, San
Francisco, 1995. Morgan Kaufmann.
(abstract)
- O.L. Mangasarian, W.N. Street and W.H. Wolberg.
-
Breast cancer diagnosis and prognosis via linear programming.
Operations Research, 43(4):570-577, July-August 1995.
(abstract)
- W.H. Wolberg, W.N. Street, D.M. Heisey, and O.L. Mangasarian.
- Computer-derived nuclear features
distinguish malignant from benign breast cytology.
Human Pathology, 26:792-796, 1995.
(abstract)
- W.H. Wolberg, W.N. Street, D.M. Heisey, and O.L. Mangasarian.
- Computerized breast cancer diagnosis and
prognosis from fine needle aspirates.
Archives of Surgery 130:511-516, 1995.
(abstract)
- W.H. Wolberg, W.N. Street, D.M. Heisey, and O.L. Mangasarian.
- Computer-derived nuclear ``grade'' and
breast cancer prognosis.
Analytical and Quantitative Cytology and Histology, Vol. 17, No. 4, pages
257-264, August 1995.
(abstract)
- W.H. Wolberg, W.N. Street, and O.L. Mangasarian.
- Image analysis and machine learning applied
to breast cancer diagnosis and prognosis.
Analytical and Quantitative Cytology and Histology 17(2):77-87,
April 1995.
(abstract)
1994
- W.H. Wolberg, W.N. Street, and O.L. Mangasarian.
- Machine learning techniques to diagnose breast
cancer from fine-needle aspirates.
Cancer Letters 77:163-171, 1994.
(abstract)
- J.S. Oghalai, W.N. Street, and W.S. Rhode.
- A neural network based spike
discriminator.
Journal of Neuroscience Methods 54(1):9-22, September 1994.
(abstract)
- W. N. Street.
- Cancer Diagnosis and Prognosis via
Linear-programming-based Machine Learning.
Ph.D. Thesis, Computer Sciences Department, University of
Wisconsin-Madison, Madison, WI 1994.
- O. L. Mangasarian, W. N. Street and W. H. Wolberg.
- Breast cancer diagnosis and prognosis via
linear programming.
AAAI Spring Symposium on Artificial Intelligence in Medicine,
Stanford, CA, March 1994.
1993
- W.H. Wolberg, W.N. Street, and O.L. Mangasarian.
- Breast cytology diagnosis via digital image
analysis.
Analytical and Quantitative Cytology and Histology
15(6):396-404, December 1993.
(abstract)
- W.N. Street, W.H. Wolberg and O.L. Mangasarian
- Nuclear feature extraction for breast tumor
diagnosis
IS&T/SPIE 1993 International Symposium on Electronic Imaging: Science
and Technology, volume 1905, pages 861-870, San Jose, CA, 1993.
(abstract)
1991
- W. N. Street.
- Toward automated cancer diagnosis: An
interactive system for cell feature extraction.
Technical Report 1052, Computer Sciences Department, University
of Wisconsin, Madison, WI, October 1991.