W. Nick Street

According to our database1, W. Nick Street authored at least 72 papers between 1995 and 2018.

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

Timeline

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Bibliography

2018
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa.
CoRR, 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

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

Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa.
CoRR, 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

2016
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

Generalized Inverse Classification.
CoRR, 2016

A budget-constrained inverse classification framework for smooth classifiers.
CoRR, 2016

2015
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

2014
Selecting the Right Correlation Measure for Binary Data.
TKDD, 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

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

2013
Adverse Drug Effect Detection.
IEEE J. Biomedical and Health Informatics, 2013

Speeding up correlation search for binary data.
Pattern Recognition Letters, 2013

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

2012
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.
Journal of Biomedical 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

2011
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

2010
A decision support system for cost-effective diagnosis.
Artificial Intelligence in 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

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

2008
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.
Journal of Biomedical Informatics, 2008

2007
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

2006
Ensemble Pruning Via Semi-definite Programming.
Journal of Machine Learning Research, 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

2005
Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms.
Management Science, 2005

Oblique Multicategory Decision Trees Using Nonlinear Programming.
INFORMS Journal on Computing, 2005

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

Bagging with Adaptive Costs.
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

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

An intelligent system for customer targeting: a data mining approach.
Decision Support Systems, 2004

2003
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

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

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

Adaptive Assistants for Customized E-Shopping.
IEEE Intelligent Systems, 2002

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

2001
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

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

1998
Feature Selection via Mathematical Programming.
INFORMS Journal on Computing, 1998

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

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

1995
Breast Cancer Diagnosis and Prognosis Via Linear Programming.
Operations Research, 1995

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


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