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Nick Street
Professor and Department Executive Officer
Henry B. Tippie Research Professor of Management Sciences
Contact
319-335-1016
Office
W220 Pappajohn Business Building (PBB)
Academic history 
PhD in Computer Science, University of Wisconsin-Madison, 1994
MS in Computer Science, DePaul University, 1990
BA in Mathematics and Computer Science, Drake University, 1985
Expertise 
Biomedical informatics
Data mining
Machine learning
Mathematical programming
Awards 
Henry B. Tippie Research Professor of Management Sciences, 2014
Dean's Teaching Award, Tippie College of Business, 2012
Certificate of Nomination, Outstanding Graduate Mentor Award, University of Iowa Graduate College, 2010
Henry B. Tippie Research Fellow, Tippie College of Business, 2002
Selected publications 

Analyzing User Participations in Online Health Communities--a Social Support Perspective. Xi Wang, Kang Zhao, Nick Street

Distant diversity in dynamic class prediction. Senay Yasar Saglam, Nick Street

Revisiting cluster first, route second for the
vehicle routing problem.. Fahrettin Cakir, Barrett W. Thomas, Nick Street

Modeling Influence Diffusion to Uncover Influence Centrality and Community Structure in Social Networks. Wenjun Wang, W. Nick Street, Social Network Analysis and Mining, 2015, vol 5

Selecting the right correlation measure for binary data.. L. Duan, Nick Street, Y. Liu, S. Xu, B. Wu, ACM Transactions on Knowledge Discovery from Data, 2014, vol 9

Speeding up maximal fully-correlated itemsets search in large databases. L. Duan, Nick Street, International Journal of Machine Learning and Cybernetics, 2014

Stock chatter: Using stock sentiment to predict price direction. M. Rechenthin, Nick Street, Padmini Srinivasan, Journal of Algorithmic Finance, 2014, vol 2, 169-196

Using conditional probability to identify trends in intra-day high-frequency equity pricing. M. Rechenthin, Nick Street, Physica A: Statistical Mechanics and its Applications, 2013, vol 392, 6169-6188

Speeding up correlation search for binary data. L. Duan, Nick Street, Pattern Recognition Letters, 2013, vol 34, 1499-1507

Phase II open label, multi-center clinical trial of biomarker modulation by 1-hydroxyvitamind D2 in patients with prostate cancer and high grade PIN. J. Gee, H. Bailey, K. Kim, K. Kolesar, T. Havinghurst, K. D. Tutsch, W. See, M. Cohen, Nick Street, L. LeVan, D. Jarrard, G. Wilding, The Prostate, 2013, vol 73, 970–978

Adverse drug effect detection. L. Duan, M. Khoshneshin, M. Liu, Nick Street, IEEE Journal of Biomedical and Health Informatics, 2013, vol 17, 305-311

Individualized patient-centered lifestyle recommendations: An expert system for communicating patient specific cardiovascular risk information and prioritizing lifestyle options. C.-L. Chi, Nick Street, J. G. Robinson, M. A. Crawford, Journal of Biomedical Informatics, 2012, vol 45, 1164-1174

Building a computer program to support children, parents and distraction during healthcare procedures. K. Hanrahan, A. M. McCarthy, C. Kleiber, K. Ataman, Nick Street, M. B. Zimmerman, A. L. Ersig, Computers, Informatics, Nursing, 2012, vol 30, 554-561

Healthcare information systems: Data mining methods in the creation of a clinical recommender system. L Duan, Nick Street, E Xu, Enterprise Information Systems, 2011, vol 5, 169-181

A decision support system for cost-effective dianosis. C.-L. Chi, Nick Street, D. A. Katz, Artificial Intelligence in Medicine, 2010, vol 50, 149-161

A Data Modeling Process for Decomposing Healthcare Patient Data Sets. Der-Fa Lu, Nick Street, Faiz Currim, Ray Hylock, Connie Delaney, Online Journal of Nursing Informatics, 2009

Bagging with adaptive costs. Y. Zhang, Nick Street, IEEE Transactions on Knowledge and Data Engineering, 2008, vol 20, 577-588

Building a hospital referral expert system with a prediction and optimization-based decision support system. C.-L. Chi, Nick Street, M. M. Ward, Journal of Biomedical Informatics, 2008, vol 41, 371-386

Ensemble Pruning via Semi-definite Programming. Samuel A. Burer, Yi Zhang, Nick Street, Journal of Machine Learning Research, 2006, vol 7, 1315-1338

Optimal ensemble construction via meta-evolutionary ensembles. Y. Kim, Nick Street, F. Menczer, Expert Systems with Applications, 2006, vol 30, 705-714

Customer targeting: A neural network approach guided by genetic algorithms. Y. Kim, Nick Street, G. Russell, F. Menczer, Management Science, 2005, vol 51(2), 264-276

Oblique multicategory decision trees using nonlinear programming. Nick Street, INFORMS Journal on Computing, 2005, vol 17(1), 25-31

Cluster-driven refinement for content-based digital image retrieval. K. Lee, Nick Street, IEEE Transactions on Multimedia, 2004, vol 6, 817-827

An intelligent system for customer targeting: A data mining approach. Y. Kim, Nick Street, Decision Support Systems, 2004, vol 37(2), 215-228

Model-based detection, segmentation and classification for image analysis using on-line shape learning. K. Lee, Nick Street, Machine Vision and Applications, 2003, vol 13(4), 222-233

An adaptive resource-allocating network for automated detection, segmentation, and classification of breast cancer nuclei. K. Lee, Nick Street, IEEE Transactions on Neural Networks, 2003, vol 14, 68-687

Evolutionary model selection in unsupervised learning. Y. Kim, Nick Street, F. Menczer, Intelligent Data Analysis, 2002, vol 6, 531-556

Adaptive assistants for customized e-shopping. F. Menczer, A. E. Monge, Nick Street, IEEE Intelligent Systems, 2002, vol 17(6), 12-19

Computer-generated nuclear features compared to axillary lymph node status and tumor size as indicators of breast cancer survival. W. H. Wolberg, Nick Street, Human Pathology, 2002, vol 33(11), 1086-1091

Incremental Feature Weight Learning and its Application to a Shape-Based Query System. K. Lee, Nick Street, Pattern Recognition Letters, 2002, vol 23(7), 865-874

Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms. F. Menczer, M. Degeratu, Nick Street, Evolutionary Computation Journal, 2000, vol 8(2), 223-247

Feature selection via mathematical programming. P. S. Bradley, O. L. Mangasarian, Nick Street, INFORMS Journal on Computing, 1998, vol 10(2), 209-217

Improved generalization via tolerant training. Nick Street, O. L. Mangasarian, Journal of Optimization Theory and Applications, 1988, vol 96(2), 259-270

Sponsored research 

Predicting Chlidren's Responses to Distraction from Pain: Tailored Interventions. Nick Street, Ann Marie McCarthy, NINR

Mining Clinical Data Sets for Nursing Dx, Outcomes and Intervention Links and EBP Validation. Nick Street, Der-Fa Lu, Social Sciences Funding Program

Operationalizing and Pilot Testing the Computerized Predictive Model for Distration: Interventions for Needle Sticks in Children. Nick Street, Ann Marie McCarthy, Obermann Center for Advanced Studies

Conference proceedings 

Inverse SVM classication by nonconvex
optimization with budget and cost constraints. Mike T. Lash, Qihang Lin, Nick Street, Jennifer G. Robinson

Diversity in dynamic class prediction. Senay Yasar Saglam, Nick Street, Tenth INFORMS Workshop on Data Mining and Analytics, 2015

Finding Hierarchical Communities in Complex Networks Using Influence-Guided Label Propagation. Wenjun Wang, W. Nick Street, The 15th IEEE International Conference on Data Mining Workshops (ICDMW 2015), 2015, 547-556

Topological Resilience Analysis of Supply Networks under Random Disruptions and Targeted Attacks. Wenjun Wang, W. Nick Street, Renato E. deMatta, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’15), 2015, 250-257

Dynamic class prediction with classifier based distance measure. S. Yasar Saglam, Nick Street, Australian Data Mining Conference, 2014

A novel algorithm for community detection and influence ranking in social networks. W. Wang, Nick Street, IEEE/ACM International Conference on Social Networks Analysis and Mining, 2014

Community detection in graphs through correlation. L. Duan, Nick Street, Y. Liu, H. Lu, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014

Social Support and User Engagement in Online Health Communities. Xi Wang, Kang Zhao, Nick Street, Proceedings of the International Conference for Smart Health, 2014, 97-110

A graphical model for multi-relational social network analysis. Mohammad Khoshneshin, Nick Street, ICML Workshop on Structured Learning, 2013

Overlapping clustering with sparseness constraints. H. Lu, Y. Hong, Nick Street, F. Wang, H. Tong, IEEE International Conference on Data Mining Workshop on Optimization Based Techniques for Emerging Data Mining, 2012

Discovering meaningful cut-points to predict high HbA1C variation. S.-C. Chin, Nick Street, Seventh INFORMS Workshop on Data Mining and Health Informatics, 2012

Survival analysis on click logs. S.-C. Chin, Nick Street, ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2012

10-year CVD risk prediction and minimization via inverse classication. C. Yang, Nick Street, J. G. Robinson, Second ACM SIGHIT International Health Informatics Symposium (IHI 2012), 2012

Firework visualization: A model for local citation analysis. S.-C. Chin, C. Madlock-Brown, Nick Street, D. Eichmann, Second ACM SIGHIT International Health Informatics Symposium (IHI 2012), 2012

Bayesian embedding of co-occurrence data for query-based visualization. M. Khoshneshin, Nick Street, P. Srinivasan, Tenth IEEE International Conference on Machine Learning and Applications (ICMLA 2011), 2011

A Memetic Heuristic for the Co-Clustering Problem. Mohammad Khoshneshin, Mahtab Ghazizadeh, Nick Street, Jeffrey W. Ohlmann, Fifth International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems, 2010

A data mining approach to MPGN type II renal survival analysis. C. Yang, Nick Street, D.-F. Lu, L. Lanning, First ACM International Health Informatics Sysposium, 2010, 454-458

Collaborative filtering via Euclidean embedding. M. Khoshneshin, Nick Street, ACM Conference on Recommender Systems, 2010, 87-94

Incremental collaborative filtering via evolutionary co-clustering. M. Khoshneshin, Nick Street, ACM Conference on Recommender Systems, 2010, 325-328

Text normalization selection models for enhanced retrieval accuracy. S.-C. Chin, R. DeCook, Nick Street, D. Eichmann, North American Chapter of the Association for Computational Linguistics - Human Language Technologies Workshop on Semantic Search, 2010

Finding maximal fully-correlated itemsets in large databases. L. Duan, Nick Street, IEEE International Conference on Data Mining, 2009, 770-775

The optimal diagnostic decision sequence. C.-L. Chi, Nick Street, American medical Informatics Association Annual Symposium, 2008, 902

NursingCareWare: Warehousing for nursing care research and knowledge discovery. Hylock Ray, Nick Street, Der-Fa Lu, Faiz Currim, Proceedings of the 3rd INFORMS Workshop on Data Mining and Health Informatics, 2008

A data mining technique for risk-stratification diagnosis. C.-L. Chi, Nick Street, American Medical Informatics Association Annual Symposium, 2007, 909

Application of artificial neural network-based survival analysis on two breast cancer datasets. C.-L. Chi, Nick Street, W. H. Wolberg, American Medical Informatics Association Annual Symposium, 2007, 130-134

HACS: A heuristic algorithm for clustering of subsets. D. Yuan, Nick Street, SIAM International Conference on Data Mining (SDM 2007), 2007

Exploring the forecasting potential of company annual reports. X. Y. Qiu, P. Srinivasan, Nick Street

Learning to rank by maximizing AUC with linear programming. K. Ataman, Nick Street, Y. Zhang, IEEE International Joint Conference on Neural Networks (IJCNN 2006), 2006

Knowledge discovery: Detecting elderly patients with impaired mobility. D.-F. Lu, Nick Street, C. Delaney, Ninth International Congress on Nursing Informatics (NI 2006), 2006

Sharing Classifiers among Ensembles from Related Problem Domains. Samuel A. Burer, Yi Zhang, Nick Street, Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM'05), 2005, 522-529

Protein annotation with GO codes. E. Catona, P. Srinivasan, Nick Street, Proceedings of the 11th World Congress on Medical Informatics (MEDINFO 2004), 2004, 1543

IntelliShopper: A proactive, personal, private shopping assistant. F. Menczer, Nick Street, N. Vishwakarma, A. Monge, M. Jakobsson, Proceedings of the First ACM International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2002), 2002, 1001-1008

Meta-evolutionary ensembles. Y. Kim, Nick Street, F. Menczer, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2002), 2002, 2791-2796

Intelligent Image Analysis Using Adaptive Resource Allocating Networks. Nick Street, K. Lee, Proceedings of the IEEE International Workshop on Neural Networks for Signal Processing (NNSP2001), 2001, 363-372

Intelligent Object-Based Image Retrieval Using Cluster-Driven Personal Preference Learning. K. Lee, Nick Street, Proceedings of the 24th ACM International Conference on Research and Development inInformation Retrieval (SIGIR 2001), 2001, 436-437

A Streaming Ensemble Algorithm (SEA) for Large-Scale Classification. Nick Street, Y. Kim, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-01), 2001, 377-382

An Evolutionary Multi-Objective Local Selection Algorithm for Customer Targeting. Y. Kim, Nick Street, F. Menczer, Proceedings of the Congress on Evolutionary Computing (CEC2001), 2001, 759-766

Automatic Image Segmentation and Classification Using On-Line Shape Learning. K. Lee, Nick Street, Proceedings of the Fifth IEEE Workshop on the Applications of Computer Vision (WACV 2000), 2000, 64-70

Feature Selection in Unsupervised Learning via Evolutionary Search. Y. Kim, Nick Street, F. Menczer, Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-00), 2000, 365-369

Generalized Hough Transforms with Flexible Templates. K. Lee, Nick Street, Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI 2000), 2000, 1133-1139

A Fast and Robust Approach for Automated Segmentation of Breast Cancer Nuclei. K. Lee, Nick Street, Proceedings of the Second IASTED International Conference on Computer Graphics and Imaging, 1999, 42-47

A neural network model for prognostic prediction. Nick Street, Proceedings of the Fifteenth International Conference on Machine Learning (ICML 98), 1998, 540-546

Other Work 

Bagging with adaptive costs. Y. Zhang, Nick Street, Fifth IEEE International Conference on Data Mining (ICDM 2005), 2005, 825-828

Feature selection in data mining. Y. Kim, Nick Street, F. Menczer, Data Mining: Opportunities and Challenges, 2003, 80-105

Evolving Heterogeneous Neural Agents by Local Selection. F. Menczer, Nick Street, M. Degeratu, Advances in the Evolutionary Synthesis of Intelligent Agents, 2001

Xcyt: A System for Remote Cytological Diagnosis and Prognosis of Breast Cancer. Nick Street, Soft Computing Techniques in Breast Cancer Prognosis and Diagnosis, 2000, 297-322

Current & Prior Positions 
Assistant Professor, Computer Science Dept., Oklahoma State University, 1996 - 1998
Postdoctoral Fellow, Departments of Surgery and Computer Sciences, University of Wisconsin-Madison, 1994 - 1996
Senior Software Engineer, Motorola, 1989 - 1990
Development Engineer, Rich, Inc., 1988 - 1989
Senior Software Engineer, Northrop Corp., 1985 - 1988
Review and editorial work 

Other, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, - 2016

Referee, Neurocomputing, - 2016

Other, ACM/SIGKDD International Conference on Knowledge Discovery and Data Mining, - 2015

Referee, IEEE Transactions on Knowledge and Data Engineering, - 2015

Other, International Conference on Smart Health, - 2015

Other, AAAI National Conference, - 2013

Other, IEEE International Conference on Health Informatics Workshop on Hospital Readmission and Clinical Risk Management, - 2013

Referee, IEEE Transactions on Management Information Systems, - 2013

Other, INFORMS Data Mining Section Student Paper Competition, - 2013

Referee, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, - 2012

Referee, Health Systems, - 2012

Referee, IEEE Transactions on Management Information Systems, - 2012

Referee, Journal of Machine Learning Research, - 2012

Referee, Machine Learning, - 2012

Referee, Annals of Operations Research, - 2011

Referee, ICML Workshop on Unsupervised and Transfer Learning, - 2011

Referee, IEEE International Conference on Data Mining, - 2011

, Mathematical Programming, - 2011

Referee, Artificial Intelligence, - 2010

Review Panels, IEEE International Conference on Data Mining, - 2010

Review Panels, INFORMS Workshop on Data Mining and Medical Informatics, - 2010

Referee, Decision Support Systems, - 2009

Review Panels, IEEE International Conference on Data Mining, - 2009

Referee, Data Mining and Knowledge Discovery, 2008 - 2008

Referee, Journal of Optimization Theory and Applications, - 2008

Referee, Machine Learning, 2008 - 2008

Referee, ACM Int. Conf. Knowledge Discovery and Data Mining, 2007 - 2007

Referee, Annals of Operations Research, 2007 - 2007

Referee, Artificial Intelligence in Medicine, 2007 - 2007

Referee, Computational Management Science, 2007 - 2007

Referee, IEEE Transactions on Systems, Man and Cybernetics, 2007 - 2007

Referee, Journal of Machine Learning Research, 2007 - 2007

Presentations 

Predictive Analytics for Personalized Health Care Decision Making. GSS Department Seminar, University of Iowa, February 2016

Topological Resilience Analysis of Supply Networks under Random Disruptions and Targeted Attacks. INFORMS Annual Meeting, Philadelphia, November 2015

Predicting Surgical Site Infections in Real-Time. INFORMS Healthcare, Nashville, TN, July 2015

Predictive Analytics for Personalized Health Care Decision Making. Belgian Conference on Operations Research, Antwerp, Belgium, February 2015

A Machine-learning Technique for the Prediction of Equity Price Direction. INFORMS National Meeting, San Francisco, CA, November 2014

Large-scale Correlation Search in Binary Data., University of Utah, October 2014

Users' roles and involvement in online health communities--a social support perspective. 16th International Conference on Electronic Commerce (ICEC 2014), Philadelphia, PA, August 2014

Large-scale Correlation Search in Binary Data., University of Iowa, April 2014

Predictive Analytics for Personalized Health Care. University of Cincinnati Center for Business Analytics, Cincinnati, OH, February 2014

Predictive Analytics for Personalized Health Care. American College of Preventive Medicine, Phoenix, AZ, February 2013

Data Mining for Personalized Health Care Decision Making. College of Nursing Research Forum, University of Iowa, October 2012

Data Mining for Personalized Health Care Decision Making. Computation and Informatics in Biology and Medicine Retreat, Madison, WI, October 2012

Large-Scale Correlation Search in Binary Data., University of Iowa, September 2012

Data Mining for Personalized Health Care Decision Making. Sixth INFORMS Workshop in Data Mining and Health Informatics, Charlotte, NC, November 2011

Machine Learning-based Health Care Decision Support Systems. Comparative Effectiveness Research Seminar, Iowa City, IA, April 2011

A Machine Learning-based Healthy Lifestyle Recommender. INFORMS Annual Meeting, Austin, TX, November 2010

Machine Learning-based Health Care Decision Support Systems. Biomedical Engineering / Electrical and Computer Engineering Departments, Iowa City, IA, February 2010

Applications of Data Mining in Health Care. University of Iowa Computing Conference, Iowa City, IA, February 2010

Machine Learning-based Health Care Decision Support Systems. Computer Science Department, University of Notre Dame, South Bend, IN, November 2009

An Ensemble Approach to the Netflix Prize. INFORMS Annual Meeting, Seattle, WA, November 2007

Choice Prediction with Consideration Set Clustering. INFORMS Annual Meeting, Seattle, WA, November 2007

Committees and professional service 
Internal Advisory Board, Iowa Institute on Human Genetics, 2013 - Current
University of Iowa Informatics Initiative Steering Committee, 2013 - Current
Graduate Program in Health Informatics, 2009 - Current
Executive Committee, Information Science Program, 2014 - 2015
Graduate Program in Information Science, 2011 - 2014
Institute for Clinical and Translational Science Scientific and Operational Oversight Committee, 2012 - 2013
Graduate Committee, 2003 - 2012
Graduate Committee, Management Sciences Dept., 2003 - 2012
Faculty Senate, 2007 - 2010
Executive Committee, Health Informatics Program, 2008 - 2009
INFORMS Data Mining Section, 2007 - 2009
Executive Committee, Information Science Ph.D. Program, 2007 - 2008
Outcomes Assessment Committee, 2006 - 2008