# Pang-Ning Tan

According to our database

Collaborative distances:

^{1}, Pang-Ning Tan authored at least 104 papers between 1999 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### Homepage:

#### On csauthors.net:

## Bibliography

2018

Receiver Operating Characteristic.

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Neural Networks.

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter.

Computers in Human Behavior, 2018

STARS: Soft Multi-Task Learning for Activity Recognition from Multi-Modal Sensor Data.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation.

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling.

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Low Rank Weighted Graph Convolutional Approach to Weather Prediction.

Proceedings of the IEEE International Conference on Data Mining, 2018

Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization.

Proceedings of the IEEE International Conference on Data Mining, 2018

Distribution Preserving Multi-task Regression for Spatio-Temporal Data.

Proceedings of the IEEE International Conference on Data Mining, 2018

CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter.

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Attributed Network Representation Learning Approaches for Link Prediction.

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Online Multi-Task Learning Framework for Ensemble Forecasting.

IEEE Trans. Knowl. Data Eng., 2017

Understanding compromised accounts on Twitter.

Proceedings of the International Conference on Web Intelligence, 2017

Automated classification of EEG signals for predicting students' cognitive state during learning.

Proceedings of the International Conference on Web Intelligence, 2017

Hash-Based Feature Learning for Incomplete Continuous-Valued Data.

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data.

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Detecting hashtag hijacking from Twitter.

Proceedings of the 8th ACM Conference on Web Science, 2016

GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine.

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Macro-scale mobile app market analysis using customized hierarchical categorization.

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Crowdsourcing of network data.

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition.

Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015

FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models.

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Constrained spectral clustering for regionalization: Exploring the trade-off between spatial contiguity and landscape homogeneity.

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning.

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Contour regression: A distribution-regularized regression framework for climate modeling.

Statistical Analysis and Data Mining, 2014

ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting.

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information.

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Missing or Inapplicable: Treatment of Incomplete Continuous-valued Features in Supervised Learning.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Distribution Regularized Regression Framework for Climate Modeling.

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Position Preserving Multi-Output Prediction.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Combining supervised and unsupervised learning for zero-day malware detection.

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012

A framework for joint community detection across multiple related networks.

Neurocomputing, 2012

Simultaneous classification and community detection on heterogeneous network data.

Data Min. Knowl. Discov., 2012

Recursive NMF: Efficient label tree learning for large multi-class problems.

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Weighted linear kernel with tree transformed features for malware detection.

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

On ontology-driven document clustering using core semantic features.

Knowl. Inf. Syst., 2011

Detecting bots via incremental LS-SVM learning with dynamic feature adaptation.

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction.

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling.

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

2010

Efficient Algorithm for Localized Support Vector Machine.

IEEE Trans. Knowl. Data Eng., 2010

Constrained overlapping clusters: minimizing the negative effects of bridge-nodes.

Statistical Analysis and Data Mining, 2010

A Framework for Co-classification of Articles and Users in Wikipedia.

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks.

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data.

Proceedings of the SIAM International Conference on Data Mining, 2010

Multi task learning on multiple related networks.

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Clustering Social Networks Using Distance-Preserving Subgraphs.

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009

Receiver Operating Characteristic.

Proceedings of the Encyclopedia of Database Systems, 2009

Neural Networks.

Proceedings of the Encyclopedia of Database Systems, 2009

Pattern Preserving Clustering.

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Detection and Characterization of Anomalies in Multivariate Time Series.

Proceedings of the SIAM International Conference on Data Mining, 2009

Combining statistics and semantics via ensemble model for document clustering.

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Measuring the effects of preprocessing decisions and network forces in dynamic network analysis.

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction.

Proceedings of the ICDM Workshops 2009, 2009

A co-classification framework for detecting web spam and spammers in social media web sites.

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

A Matrix Alignment Approach for Collective Classification.

Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

History-Based Email Prioritization.

Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008

Outrank: a Graph-Based Outlier Detection Framework Using Random Walk.

International Journal on Artificial Intelligence Tools, 2008

Link Mining for a Social Bookmarking Web Site.

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Semi-supervised learning with data calibration for long-term time series forecasting.

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Maximum Margin Active Learning for Sequence Labeling with Different Length.

Proceedings of the Advances in Data Mining. Medical Applications, 2008

A matrix alignment approach for link prediction.

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series.

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Data mining for visual exploration and detection of ecosystem disturbances.

Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

2007

Kernel Based Detection of Mislabeled Training Examples.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Localized Support Vector Machine and Its Efficient Algorithm.

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

A Probabilistic Substructure-Based Approach for Graph Classification.

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Incorporating Background Knowledge for Subjective Rule Evaluation.

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Exploration of Link Structure and Community-Based Node Roles in Network Analysis.

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Recommendation via Query Centered Random Walk on K-Partite Graph.

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Prototype-driven Framework for Change Detection in Data Stream Classification.

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases.

IEEE Trans. Knowl. Data Eng., 2006

Hyperclique pattern discovery.

Data Min. Knowl. Discov., 2006

Clustering in the Presence of Bridge-Nodes.

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Semi-Supervised Clustering with Partial Background Information.

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

A Novel Framework for Incorporating Labeled Examples into Anomaly Detection.

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Semi-supervised outlier detection.

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Multistep-Ahead Time Series Prediction.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Outlier Detection Using Random Walks.

Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

Adaptively Routing P2P Queries Using Association Analysis.

Proceedings of the 2006 International Conference on Parallel Processing (ICPP 2006), 2006

Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy.

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Converting Output Scores from Outlier Detection Algorithms into Probability Estimates.

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection.

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Local Detection of Selfish Routing Behavior in Ad Hoc Networks.

Proceedings of the 8th International Symposium on Parallel Architectures, 2005

Introduction to Data Mining

Addison-Wesley, ISBN: 0-321-32136-7, 2005

2004

Data Mining.

Proceedings of the Handbook of Data Structures and Applications., 2004

Selecting the right objective measure for association analysis.

Inf. Syst., 2004

HICAP: Hierarchical Clustering with Pattern Preservation.

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

RBA: An Integrated Framework for Regression based on Association Rules.

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs.

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Ordering patterns by combining opinions from multiple sources.

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Generalizing the notion of support.

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Support envelopes: a technique for exploring the structure of association patterns.

Mining interesting contrast rules for a web-based educational system.

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

2003

Discovery of climate indices using clustering.

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution.

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Discovery of Web Robot Sessions Based on their Navigational Patterns.

Data Min. Knowl. Discov., 2002

High Performance Data Mining.

Proceedings of the High Performance Computing for Computational Science, 2002

Selecting the right interestingness measure for association patterns.

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Mining Indirect Associations in Web Data.

Proceedings of the WEBKDD 2001, 2001

2000

Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data.

SIGKDD Explorations, 2000

Indirect Association: Mining Higher Order Dependencies in Data.

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Textual data mining of service center call records.

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999

Discovery of Interesting Usage Patterns from Web Data.

Proceedings of the Web Usage Analysis and User Profiling, 1999