W. Ding

发表

Data mining with big data

Xindong Wu, Xingquan Zhu, Gongqing Wu, 2016, IEEE Transactions on Knowledge and Data Engineering.

Detecting Impact Craters in Planetary Images Using Machine Learning

Ricardo Vilalta, Wei Ding, Tomasz F. Stepinski, 2012 .

An Integrated Approach for Regional Association Rule Mining and Scoping

Shuhab D. Khan, C. Eick, W. Ding, 2006 .

Book title goes here

T. Stepinski, W. Ding, Josue Salazar, 2012 .

Preface to the International Workshop on Spatial and Spatio-Temporal Data Mining

Dimitrios Gunopulos, Eamonn J. Keogh, Alfredo Cuzzocrea, 2011, IEEE ICDM 2011.

Supervised Spatial Association Rule Mining : A Stratified Approach

C. Eick, W. Ding, 2006 .

Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information

Wei Ding, Melissa Morabito, Yong Zhuang, 2017, 2017 IEEE International Conference on Big Knowledge (ICBK).

A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data

Tianyu Kang, Wei Ding, Kourosh Zarringhalam, 2017, BMC Bioinformatics.

Rapid building detection using machine learning

Aijun Chen, Liping Di, Joseph Paul Cohen, 2016, Applied Intelligence.

A framework for regional association rule mining and scoping in spatial datasets

Christoph F. Eick, Wei Ding, Jean-Philippe Nicot, 2011, GeoInformatica.

On Regional Association Rule Scoping

Christoph F. Eick, Wei Ding, Jean-Philippe Nicot, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

A Framework for Regional Association Rule Mining in Spatial Datasets

Christoph F. Eick, Wei Ding, Jing Wang, 2006, Sixth International Conference on Data Mining (ICDM'06).

Exploring Causal Relationships with Streaming Features

Hao Wang, Xindong Wu, Kui Yu, 2012, Comput. J..

Online Feature Selection with Streaming Features

Hao Wang, Xindong Wu, Kui Yu, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Data mining with big data

Xindong Wu, Wei Ding, Gong-Qing Wu, 2014, IEEE Transactions on Knowledge and Data Engineering.

Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization

Ping Chen, Fei Xie, Wei Ding, 2019, ACM Trans. Knowl. Discov. Data.

Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling

Wei Ding, Melissa Morabito, Ping Chen, 2016, IEEE Transactions on Knowledge and Data Engineering.

Markov Blanket Feature Selection Using Representative Sets

Hao Wang, Xindong Wu, Kui Yu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Markov Blanket Feature Selection with Non-faithful Data Distributions

Hao Wang, Xindong Wu, Kui Yu, 2013, 2013 IEEE 13th International Conference on Data Mining.

Discovery of feature-based hot spots using supervised clustering

Christoph F. Eick, Wei Ding, Tomasz F. Stepinski, 2009, Comput. Geosci..

Group Feature Selection with Streaming Features

Xindong Wu, Zhao Li, Wei Ding, 2013, 2013 IEEE 13th International Conference on Data Mining.

Online Group Feature Selection from Feature Streams

Xindong Wu, Zhao Li, Wei Ding, 2013, AAAI.

Classification with Streaming Features: An Emerging-Pattern Mining Approach

Hao Wang, Xindong Wu, Jian Pei, 2015, TKDD.

Authorship identification from unstructured texts

Xindong Wu, Chunxia Zhang, Zhendong Niu, 2014, Knowl. Based Syst..

Causal Associative Classification

Hao Wang, Xindong Wu, Kui Yu, 2011, 2011 IEEE 11th International Conference on Data Mining.

Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance

Wei Ding, Zhou Zhang, Yuewen Liu, 2015, Decis. Support Syst..

Crime hotspot mapping using the crime related factors—a spatial data mining approach

Dawei Wang, Wei Ding, Tomasz F. Stepinski, 2012, Applied Intelligence.

Optimization of Criminal HotSpots Based on Underlying Crime Controlling Factors Using Geospatial Discriminative Pattern

Dawei Wang, Wei Ding, Tomasz F. Stepinski, 2012, IEA/AIE.

Online Learning from Trapezoidal Data Streams

Xindong Wu, Chengqi Zhang, Wei Ding, 2016, IEEE Transactions on Knowledge and Data Engineering.

ESTATE: Strategy for Exploring Labeled Spatial Datasets Using Association Analysis

Wei Ding, Tomasz F. Stepinski, Josue Salazar, 2010, Discovery Science.

Discovering spatio-social motifs of electoral support using discriminative pattern mining

Wei Ding, Tomasz F. Stepinski, Josue Salazar, 2010, COM.Geo '10.

Temporality and Context for detecting adverse drug reactions from longitudinal data

Wei Ding, Henry Z. Lo, Zohreh Nazeri, 2014, Applied Intelligence.

Mining sequential patterns with periodic wildcard gaps

Jiadong Ren, Xindong Wu, Wei Ding, 2014, Applied Intelligence.

Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns

Ping Chen, Tomasz F. Stepinski, Josue Salazar, 2013, Comput. Environ. Urban Syst..

Crime Forecasting Using Spatio-temporal Pattern with Ensemble Learning

Wei Ding, Melissa Morabito, Ping Chen, 2014, PAKDD.

Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification

Xindong Wu, Kui Yu, Dawei Wang, 2013, KDD.

Finding regional co-location patterns for sets of continuous variables in spatial datasets

Christoph F. Eick, Wei Ding, Tomasz F. Stepinski, 2008, GIS '08.

Coupled behavior analysis for capturing coupling relationships in group-based market manipulations

Xindong Wu, Longbing Cao, Gang Wei, 2012, KDD.

Multi-Source Causal Feature Selection

Kui Yu, Jiuyong Li, Thuc Duy Le, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-document summarization using closed patterns

Xindong Wu, Fei Xie, Wei Ding, 2016, Knowl. Based Syst..

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection

Xindong Wu, Lin Liu, Kui Yu, 2019, ACM Trans. Intell. Syst. Technol..

SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis pdf

Ping Chen, Wei Ding, Zihan Li, 2020, ACM Trans. Comput. Heal..

Feature Selection by Joint Graph Sparse Coding

Xindong Wu, Xiaofeng Zhu, Shichao Zhang, 2013, SDM.

Crater detection via genetic search methods to reduce image features

Joseph Paul Cohen, Wei Ding, W. Ding, 2014 .

Adaptive Selective Learning for automatic identification of sub-kilometer craters

Feng Gao, Wei Ding, Tomasz F. Stepinski, 2012, Neurocomputing.

Bernoulli trials based feature selection for crater detection

Joseph Paul Cohen, Dan A. Simovici, Wei Ding, 2011, GIS.

Subkilometer crater discovery with boosting and transfer learning

Xindong Wu, Ricardo Vilalta, Wei Ding, 2011, TIST.

Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting

Ricardo Vilalta, Wei Ding, Tomasz F. Stepinski, 2010, CIKM.

Crater detection using Bayesian classifiers and LASSO

Xindong Wu, Kui Yu, Wei Ding, 2013, IEEE Conference Anthology.

Detection of Sub-Kilometer Craters in High Resolution Planetary Images Using Shape and Texture Features

Wei Ding, Tomasz F. Stepinski, Lourenço Bandeira, 2012 .

Machine Learning Approaches to Detecting Impact Craters in Planetary Images

Wei Ding, R. Vilalta, T. F. Stepinski, 2012 .

Topic Discovery from Heterogeneous Texts

Xindong Wu, Fei Xie, Wei Ding, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

Sacrificing Overall Classification Quality to Improve Classification Accuracy of Well-Sought Classes

Wei Ding, Ping Chen, Kevin Michael Amaral, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Crime Forecasting Using Data Mining Techniques

Wei Ding, Melissa Morabito, Chung-Hsien Yu, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

A Comprehensive Literature Review on Big Data in Healthcare

Jingwei Li, Wei Huang, Wei Ding, 2016, AMCIS.

Towards Scalable and Accurate Online Feature Selection for Big Data

Xindong Wu, Jian Pei, Kui Yu, 2014, 2014 IEEE International Conference on Data Mining.

Causal Feature Selection with Missing Data

Kui Yu, Wei Ding, Yajing Yang, 2022, ACM Trans. Knowl. Discov. Data.

Empirical Discriminative Tensor Analysis for Crime Forecasting

Dacheng Tao, Wei Ding, Melissa Morabito, 2011, KSEM.

LOFS: Library of Online Streaming Feature Selection pdf

Xindong Wu, Kui Yu, Wei Ding, 2016, Knowl. Based Syst..

Online Streaming Feature Selection

Hao Wang, Xindong Wu, Kui Yu, 2010, ICML.

One-class learning and concept summarization for data streams

Philip S. Yu, Chengqi Zhang, Wei Ding, 2011, Knowledge and Information Systems.

Local discriminative distance metrics ensemble learning

Dacheng Tao, Wei Ding, Yang Mu, 2013, Pattern Recognit..

Local Discriminative Distance Metrics and their Real World Applications

Wei Ding, Yang Mu, W. Ding, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Regional Association Rule Mining and Scoping from Spatial Data

Christoph F. Eick, Wei Ding, C. Eick, 2012 .

Towards Mining Trapezoidal Data Streams

Xindong Wu, Chengqi Zhang, Wei Ding, 2015, 2015 IEEE International Conference on Data Mining.

Controlling patterns of geospatial phenomena

Christoph F. Eick, Wei Ding, Tomasz F. Stepinski, 2011, GeoInformatica.

Domain agnostic online semantic segmentation for multi-dimensional time series

Eamonn J. Keogh, Wei Ding, Shaghayegh Gharghabi, 2018, Data Mining and Knowledge Discovery.

Clustering on Sparse Data in Non-overlapping Feature Space with Applications to Cancer Subtyping

Tianyu Kang, Wei Ding, John Quackenbush, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Modern Advances in Intelligent Systems and Tools

Mingchu Li, Moonis Ali, Wei Ding, 2012, Modern Advances in Intelligent Systems and Tools.

Causal Discovery from Streaming Features

Hao Wang, Xindong Wu, Kui Yu, 2010, 2010 IEEE International Conference on Data Mining.

Learning weighted distance metric from group level information and its parallel implementation

Wei Ding, Yang Mu, Hamidreza Mohebbi, 2016, Applied Intelligence.

SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis

S. Crouter, W. Ding, K. Amaral, 2022, ACM Trans. Comput. Heal..

Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data

Ni-Bin Chang, Wei Ding, Yang Mu, 2015, 2015 IEEE 12th International Conference on Networking, Sensing and Control.

Entropy Quad-Trees for High Complexity Regions Detection

Dan A. Simovici, Wei Ding, Rosanne Vetro, 2011, Int. J. Softw. Sci. Comput. Intell..

TL-PC: An Interpretable Causal Relationship Networks on Older Adults Fall Influence Factors

Kui Yu, Wei Ding, Zihan Li, 2018, 2018 IEEE International Conference on Big Knowledge (ICBK).

One-Class Learning and Concept Summarization for Vaguely Labeled Data Streams *

Philip S. Yu, Wei Ding, Xingquan Zhu, 2009 .