W. Nick Street

According to our database1, W. Nick Street authored at least 71 papers between 1995 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 



On csauthors.net:


An Ensemble Method for Data Imputation.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa.
Int. J. Data Min. Bioinform., 2018

Prophit: Causal inverse classification for multiple continuously valued treatment policies.
CoRR, 2018

Modeling and maximizing influence diffusion in social networks for viral marketing.
Applied Network Science, 2018

Distant diversity in dynamic class prediction.
Annals OR, 2018

Utilizing advances in correlation analysis for community structure detection.
Expert Syst. Appl., 2017

Generalized Inverse Classification.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Budget-Constrained Inverse Classification Framework for Smooth Classifiers.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Speeding up maximal fully-correlated itemsets search in large databases.
Int. J. Machine Learning & Cybernetics, 2016

Realistic risk-mitigating recommendations via inverse classification.
CoRR, 2016

Modeling influence diffusion to uncover influence centrality and community structure in social networks.
Social Netw. Analys. Mining, 2015

Predicting User Participation and Detecting User Role Diffusion in Online Health Communities.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

Finding Hierarchical Communities in Complex Networks Using Influence-Guided Label Propagation.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Topological Resilience Analysis of Supply Networks under Random Disruptions and Targeted Attacks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Selecting the Right Correlation Measure for Binary Data.
ACM Trans. Knowl. Discov. Data, 2014

Community detection in graphs through correlation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Social Support and User Engagement in Online Health Communities.
Proceedings of the Smart Health - International Conference, 2014

A Memetic Heuristic for the Co-clustering Problem.
Proceedings of the 8th International Conference on Bio-inspired Information and Communications Technologies, 2014

Dynamic Class Prediction with Classifier Based Distance Measure.
Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

A novel algorithm for community detection and influence ranking in social networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Adverse Drug Effect Detection.
IEEE J. Biomed. Health Informatics, 2013

Speeding up correlation search for binary data.
Pattern Recognit. Lett., 2013

Stock chatter: Using stock sentiment to predict price direction.
Algorithmic Finance, 2013

Divide and Transfer: an Exploration of Segmented Transfer to Detect Wikipedia Vandalism.
Proceedings of the Unsupervised and Transfer Learning, 2012

Individualized patient-centered lifestyle recommendations: An expert system for communicating patient specific cardiovascular risk information and prioritizing lifestyle options.
J. Biomed. Informatics, 2012

Survival analysis of click logs.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

10-year CVD risk prediction and minimization via InverseClassification.
Proceedings of the ACM International Health Informatics Symposium, 2012

Firework visualization: a model for local citation analysis.
Proceedings of the ACM International Health Informatics Symposium, 2012

Overlapping Clustering with Sparseness Constraints.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Healthcare information systems: data mining methods in the creation of a clinical recommender system.
Enterprise IS, 2011

Enriching Wikipedia Vandalism Taxonomy via Subclass Discovery.
Proceedings of the Workshop on Discovering Meaning On the Go in Large Heterogeneous Data 2011 (LHD-11), 2011

Bayesian Embedding of Co-occurrence Data for Query-Based Visualization.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

A decision support system for cost-effective diagnosis.
Artif. Intell. Medicine, 2010

Detecting Wikipedia vandalism with active learning and statistical language models.
Proceedings of the 4th ACM Workshop on Information Credibility on the Web, 2010

Incremental collaborative filtering via evolutionary co-clustering.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Collaborative filtering via euclidean embedding.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

A data mining approach to MPGN type II renal survival analysis.
Proceedings of the ACM International Health Informatics Symposium, 2010

Finding Maximal Fully-Correlated Itemsets in Large Databases.
Proceedings of the ICDM 2009, 2009

Bagging with Adaptive Costs.
IEEE Trans. Knowl. Data Eng., 2008

Building a hospital referral expert system with a Prediction and Optimization-Based Decision Support System algorithm.
J. Biomed. Informatics, 2008

HACS: Heuristic Algorithm for Clustering Subsets.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Application of Artificial Neural Network-Based Survival Analysis on Two Breast Cancer Datasets.
Proceedings of the AMIA 2007, 2007

Ensemble Pruning Via Semi-definite Programming.
J. Mach. Learn. Res., 2006

Optimal ensemble construction via meta-evolutionary ensembles.
Expert Syst. Appl., 2006

Learning to Rank by Maximizing AUC with Linear Programming.
Proceedings of the International Joint Conference on Neural Networks, 2006

Exploring the Forecasting Potential of Company Annual Reports.
Proceedings of the Information Realities: Shaping the Digital Future for All, 2006

Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms.
Manag. Sci., 2005

Oblique Multicategory Decision Trees Using Nonlinear Programming.
INFORMS J. Comput., 2005

Sharing Classifiers among Ensembles from Related Problem Domains.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Predicting Outcomes of Hospitalization for Heart Failure Using Logistic Regression and Knowledge Discovery Methods.
Proceedings of the AMIA 2005, 2005

Cluster-driven refinement for content-based digital image retrieval.
IEEE Trans. Multimedia, 2004

An intelligent system for customer targeting: a data mining approach.
Decis. Support Syst., 2004

An adaptive resource-allocating network for automated detection, segmentation, and classification of breast cancer nuclei topic area: image processing and recognition.
IEEE Trans. Neural Networks, 2003

Model-based detection, segmentation, and classification for image analysis using on-line shape learning.
Mach. Vis. Appl., 2003

Incremental feature weight learning and its application to a shape-based query system.
Pattern Recognit. Lett., 2002

Evolutionary model selection in unsupervised learning.
Intell. Data Anal., 2002

Adaptive Assistants for Customized E-Shopping.
IEEE Intell. Syst., 2002

IntelliShopper: a proactive, personal, private shopping assistant.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

Intelligent Object-based Image Retrieval Using Cluster-driven Personal Preference Learning.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

A streaming ensemble algorithm (SEA) for large-scale classification.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Automatic Feature Mining for Personalized Digital Image Retrieval.
Proceedings of the Second International Workshop on Multimedia Data Mining, 2001

Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms.
Evol. Comput., 2000

Automatic image segmentation and classification using on-line shape learning.
Proceedings of the Proceedings Fifth IEEE Workshop on Applications of Computer Vision, 2000

Feature selection in unsupervised learning via evolutionary search.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Feature Selection via Mathematical Programming.
INFORMS J. Comput., 1998

A Neural Network Model for Prognostic Prediction.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Clustering via Concave Minimization.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Breast Cancer Diagnosis and Prognosis Via Linear Programming.
Oper. Res., 1995

An Inductive Learning Approach to Prognostic Prediction.
Proceedings of the Machine Learning, 1995