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Nick Street

Professor and Department Executive Officer
 Henry B. Tippie Research Fellow
Management Sciences
S232  John Pappajohn Bus Bldg
The University of Iowa, Iowa City, IA 52242-1994		 Ph: 319-335-1016
Fax: 319-335-0297
E-mail: nick-street@uiowa.edu
Website CV

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

  • Data mining
  • Health informatics
  • Machine learning
  • Mathematical programming

Awards

  • Dean's Teaching Award, Tippie College of Business, 2012
  • Henry B. Tippie Research Fellow, Tippie College of Business, 2012
  • Certificate of Nomination, Outstanding Graduate Mentor Award, University of Iowa Graduate College, 2010

Selected Publications

  • Analyzing stock chatter on the Yahoo Finance message boards: A case study of human behavior, M. Rechenthin, Nick Street, Padmini Srinivasan
  • Effective correlation search for itemset mining, L. Duan, Nick Street
  • Latent logistic allocation: A kernel-based approach for learning co-occurrence data, M. Khoshneshin, Nick Street, P. Srinivasan
  • 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
  • Speeding up correlation search for binary data, L. Duan, Nick Street
  • Using conditional probability to identify trends in intra-day high-frequency equity pricing, M. Rechenthin, Nick Street
  • Adverse drug effect detection, L. Duan, M. Khoshneshin, M. Liu, Nick Street, IEEE Journal of Biomedical and Health Informatics, vol 17, 2013, 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, vol 45, 2012, 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, vol 30, 2012, 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, vol 5, 2011, 169-181
  • A decision support system for cost-effective dianosis, C.-L. Chin, Nick Street, D. A. Katz, Artificial Intelligence in Medicine, vol 50, 2010, 149-161
  • A decision support system for cost-effective dianosis, C.-L. Chin, Nick Street, D. A. Katz, Artificial Intelligence in Medicine, vol 50, 2010, 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, vol 20, 2008, 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, vol 41, 2008, 371-386
  • Ensemble Pruning via Semi-definite Programming, Samuel A. Burer, Yi Zhang, Nick Street, Journal of Machine Learning Research, vol 7, 2006, 1315-1338
  • Ensemble pruning via semi-definite programming, Y. Zhang, S. Burer, Nick Street, Journal of Machine Learning Research, vol 7, 2006, 1315-1338
  • Optimal ensemble construction via meta-evolutionary ensembles, Y. Kim, Nick Street, F. Menczer, Expert Systems with Applications, vol 30, 2006, 705-714
  • Customer targeting: A neural network approach guided by genetic algorithms, Y. Kim, Nick Street, G. Russell, F. Menczer, Management Science, vol 51(2), 2005, 264-276
  • Oblique multicategory decision trees using nonlinear programming, Nick Street, INFORMS Journal on Computing, vol 17(1), 2005, 25-31
  • Cluster-driven refinement for content-based digital image retrieval, K. Lee, Nick Street, IEEE Transactions on Multimedia, vol 6, 2004, 817-827
  • An intelligent system for customer targeting: A data mining approach, Y. Kim, Nick Street, Decision Support Systems, vol 37(2), 2004, 215-228
  • Model-based detection, segmentation and classification for image analysis using on-line shape learning, K. Lee, Nick Street, Machine Vision and Applications, vol 13(4), 2003, 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, vol 14, 2003, 68-687
  • Evolutionary model selection in unsupervised learning, Y. Kim, Nick Street, F. Menczer, Intelligent Data Analysis, vol 6, 2002, 531-556
  • Adaptive assistants for customized e-shopping, F. Menczer, A. E. Monge, Nick Street, IEEE Intelligent Systems, vol 17(6), 2002, 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, vol 33(11), 2002, 1086-1091
  • Incremental Feature Weight Learning and its Application to a Shape-Based Query System, K. Lee, Nick Street, Pattern Recognition Letters, vol 23(7), 2002, 865-874
  • Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms, F. Menczer, M. Degeratu, Nick Street, Evolutionary Computation Journal, vol 8(2), 2000, 223-247
  • Feature selection via mathematical programming, P. S. Bradley, O. L. Mangasarian, Nick Street, INFORMS Journal on Computing, vol 10(2), 1998, 209-217
  • Improved generalization via tolerant training, Nick Street, O. L. Mangasarian, Journal of Optimization Theory and Applications, vol 96(2), 1988, 259-270

    Conference Proceedings

    • A novel algorithm for community detection and influence ranking in networks, W. Wang, Nick Street
    • Community detection through correlation, L. Duan, Nick Street, H. Lu
    • 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, Y. Zhang, Nick Street, S. Burer, Fifth IEEE International Conference on Data Mining (ICDM 2005), 2005, 522-529
    • 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

    • Probabilistic latent characteristic model and its application in classication using gene expression data, M. Khoshneshin, Nick Street, Sixth INFORMS Workshop on Data Mining and Health Informatics, 2011
    • Using Gaussian processes to monitor diabetes development, S.-C. Chin, Nick Street, Sixth INFORMS Workshop on Data Mining and Health Informatics, 2011
    • Analyzing the language evolution of a science classroom via a topic model, M. Khoshneshin, M. A. Basir, P. Srinivasan, Nick Street, B. Hand, KDD-2011 Workshop on Knowledge Discovery in Educational Data, 2011
    • Divide and transfer: An exploration of segmented transfer to detect Wikipedia vandalism, S.-C. Chin, Nick Street, International Conference on Machine Learning (ICML) Workshop on Unsupervised and Transfer Learning, 2011
    • Enriching Wikipedia vandalism taxonomy via subclass discovery, S.-C. Chin, Nick Street, International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Discovering Meaning on the Go in Large and Heterogeneous Data (LHD-11), 2011
    • Dynamic ensemble construction via heuristic optimization, S. Yasar Saglam, Nick Street, Fourth INFORMS Workshop on Data Mining and System Informatics, 2009
    • Estimating missing attribute values using dynamically-ordered attribute trees, J. Wang, Nick Street, Fourth INFORMS Workshop on Data Mining and System Informatics, 2009
    • A nursing care plan recommender system using a data mining approach, L. Duan, Nick Street, Third INFORMS Workshop on Data Mining and Health Informatics, 2008
    • Hierarchical local clustering for constraint reduction in rank-optimizing linear programs, K. Ataman, Nick Street
    • 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
    • Automatic Feature Mining for Personalized Digital Image Retrieval, K. Lee, Nick Street, Proceedings of the International Workshop on Multimedia Data Mining (MDM/KDD 2001), 2001, 38-43
    • Unsupervised Model Selection via Evolutionary Local Search, Y. Kim, Nick Street, F. Menczer, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-01) Workshop on Wrappers for Performance Enhancement in Knowledge Discovery in Databases, 2001, 9-14
    • 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
    • CoIL Challenge 2000: Choosing and Explaining Likely Caravan Insurance Customers, Y. Kim, Nick Street, In CoILChallenge 2000: The Insurance Company Case, 2000
    • Dynamic Learning of Shape for Automatic Object Recognition, K. Lee, Nick Street, Proceedings of ICML-2000 Workshop on Machine Learning of Spatial Knowledge, 2000, 44-49
    • Learning Shapes for Automatic Image Segmentation, K. Lee, Nick Street, Proceedings of the INFORMS-KORMS Conference, 2000, 1461-1468
    • A Cluster-Based Approach to Tracking, Detection and Segmentation of Broadcast News., D. Eichmann, M. E. Ruiz, P. Srinivasan, Nick Street, C. Culy, F. Menczer, DARPA Broadcast News Workshop, 1999, 69-76

      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

      • 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
      • Referee, Artificial Intelligence, 2010
      • Referee, Decision Support Systems, 2009
      • Referee, Data Mining and Knowledge Discovery, 2008
      • Referee, Journal of Optimization Theory and Applications, 2008
      • Referee, Machine Learning, 2008
      • Referee, ACM Int. Conf. Knowledge Discovery and Data Mining, 2007
      • Referee, Annals of Operations Research, 2007
      • Referee, Artificial Intelligence in Medicine, 2007
      • Referee, Computational Management Science, 2007
      • Referee, IEEE Transactions on Systems, Man and Cybernetics, 2007
      • Referee, Journal of Machine Learning Research, 2007

      Professional Affiliations

      • Other, AAAI National Conference, 2013
      • , Mathematical Programming, 2011
      • Review Panels, IEEE International Conference on Data Mining, 2010
      • Review Panels, INFORMS Workshop on Data Mining and Medical Informatics, 2010
      • Review Panels, IEEE International Conference on Data Mining, 2009

      Presentations

      • Predictive Analytics for Personalized Health Care, American College of Preventive Medicine, 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, University of Wisconsin, October 2012
      • Large-Scale Correlation Search in Binary Data, Electrical and Computer Engineering Department, University of Iowa, September 2012
      • Data Mining for Personalized Health Care Decision Making, Sixth INFORMS Workshop in Data Mining and Health Informatics, INFORMS, Charlotte, NC, November 2011
      • Machine Learning-based Health Care Decision Support Systems, Comparative Effectiveness Research Seminar, University of Iowa, April 2011
      • A Machine Learning-based Healthy Lifestyle Recommender, INFORMS Annual Meeting, INFORMS, 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, UI Computer Science Department, 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

      • Task Force on Informatics, 2013-current
      • Institute for Clinical and Translational Science Scientific and Operational Oversight Committee, 2012-current
      • Graduate Program in Information Science, 2011-current
      • Graduate Program in Health Informatics, 2009-current
      • 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