- Blocking Objectionable Web Content by Leveraging Multiple Information Sources Nitin Agarwal
- Knowl Inf Syst (2006) DOI 10.1007/s10115-005-0230-9
- Active Learning for Detecting a Spectrally Variable Subject in Color Infrared Imagery
- Artificial Intelligence 151 (2003) 155176 www.elsevier.com/locate/artint
- An Integrative Approach to Identifying Biologically Relevant Genes Jiangxin Wang
- BIOLOGICAL RELEVANCE DETECTION VIA NETWORK DYNAMIC ANALYSIS
- Connecting Sparsely Distributed Similar Bloggers Nitin Agarwal, Huan Liu, Shankara Subramanya, John J. Salerno and Philip S. Yu
- Scalable Learning of Collective Behavior Based on Sparse Social Dimensions
- Relational Learning via Latent Social Dimensions Lei Tang and Huan Liu
- BlogTrackers: A Tool for Sociologists to Track and Analyze Blogosphere Nitin Agarwal*
- Abstract--The impact of health information on the web is mounting and with the Health 2.0 revolution around the corner,
- Robust Integration of Multiple Information Sources by View Completion Shankara Subramanya, Baoxin Li and Huan Liu
- HEALTHCARE RISK MODELING FOR MEDICAID PATIENTS The Impact of Sampling on the Prediction of High-Cost Patients
- Searching for "Familiar Strangers" on Blogosphere: Problems and Challenges Nitin Agarwal*, Huan Liu*, John Salerno+
- Spectral Feature Selection for Supervised and Unsupervised Learning
- Semi-supervised Feature Selection via Spectral Analysis Zheng Zhao
- Searching for Interacting Features Zheng Zhao and Huan Liu
- Acclimatizing Taxonomic Semantics for Hierarchical Content Classification
- Feature Subset Selection Bias for Classification Learning Surendra K. Singhi surendra@asu.edu
- Research Paper Recommender Systems: A Subspace Clustering Approach
- Session T1A 0-7803-7961-6/03/$17.00 2004 IEEE October 20 23, 2004, Savannah, GA
- SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
- Robust Feature Induction for Support Vector Machines Rong Jin RONGJIN@CSE.MSU.EDU
- Compact Dual Ensembles for Active Learning Amit Mandvikar1
- Uncovering Cross-Dimension Group Structures in Multi-Dimensional Networks With the proliferation of Web 2.0 and social networking sites, peo-
- Structure-based Mining of Hierarchical Media Data, Meta-Data, and Ontologies
- Feature Extraction for Image Mining Patricia G. Foschi
- Active Learning for Classifying a Spectrally Variable Subject Patricia G. Foschi
- Nonlinear Multiple Kernel Learning via Mixture of Probabilistic Kernel Discriminant Analysis
- Understanding Emerging Social Structures --A Group Profiling Approach
- Community Detection and Behavior Study for SocialBehavior Study for Social
- Instructions to the authors The general guideline for preparing the manuscript is found in
- Contributors' Authorization to Publish SPRINGER SCIENCE+BUSINESS MEDIA, LLC
- Instructions for Using the Author Template
- SBP'08 REGISTRATION FORM International Workshop on Social Computing, Behavior Modeling and Prediction
- Behavioral Modeling and Simulation: from Individuals to Societies
- Huan.Liu@asu.edu Arizona State University Data Mining and Machine Learning Lab 1 Studying Social Behavior in Social Media
- Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
- Community Evolution in Dynamic Multi-Mode Networks
- 1 + 1 ? 2': Merging Distance and Density Based Clustering Manoranjan Dash
- Hybrid Search of Feature Subsets Manoranjan Dash 1 and Huan Liu 2
- Modelling Classification Performance for Large Data Sets
- Supervised Learning for SelfGenerating Neural Networks Wilson X. Wen Huan Liu
- Redundancy Based Feature Selection for Microarray Data Department of Computer Science & Engineering
- Feature Transformation and Subset Selection Dept. of Info. Sys. & Comp. Sci.
- Blogosphere: Research Issues, Tools and Applications
- Toward Collective Behavior Prediction via Social Dimension Extraction
- 114 Int. J. Biomedical Engineering and Technology, Vol. 3, Nos. 1/2, 2010 Copyright 2010 Inderscience Enterprises Ltd.
- To appear in Expert Systems with Applications: An International Journal, Vol.10(1996) Efficient Rule Induction from Noise Data
- Clustering Blogs with Collective Wisdom Nitin Agarwal, Magdiel Galan, Huan Liu, Shankar Subramanya
- First International Workshop on Social Computing, Behavioral Modeling, and Prediction Phoenix (Sedona), Arizona
- Some Issues on Scalable Feature Selection \Lambda Huan Liu & Rudy Setiono
- Instructions to Authors Document Template ......................................................................................1
- Identifying the Influential Bloggers in a Community Nitin Agarwal, Huan Liu, Lei Tang
- Semi-supervised Feature Selection via Spectral Analysis Zheng Zhao
- SBP'09 REGISTRATION FORM The 2nd International Workshop on Social Computing, Behavior Modeling and Prediction
- Class-Specific Ensembles for Active Learning in Digital Imagery Amit Mandvikar and Huan Liu
- Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
- Towards an Evolutionary Algorithm: A Comparison of Two Feature Selection Algorithms
- Lecture Notes in Computer Science 1 ADistributed Hierarchical Clustering System
- Rule Mining with Prior Knowledge A Belief Networks Approach
- Sampling From Databases Using B + -Trees Dimuthu Makawita
- Consistency Based Feature Selection Manoranjan Dash 1 and Huan Liu 1 and Hiroshi Motoda 2
- Noname manuscript No. (will be inserted by the editor)
- (Un)Predictabilty of Social Networks
- Community Detection using a Measure of Global Capacity to
- Transfer Learning for Text Categorization Chuong B. Do and Andrew Y. Ng
- Community Detection in Social Properties of Complex Network
- First International Workshop on Data Mining in Sensor Networks
- Structural Balance and Transitivity
- What is semi-supervised learning ? In many practical learning domains, there
- Mutual information formalism As a theoretical basis of mRMR feature
- Active Feature Selection Using Classes Huan Liu 1 , Lei Yu 1 , Manoranjan Dash 2 , and Hiroshi Motoda 3
- Understanding Neural Networks via Rule Extraction Rudy Setiono and Huan Liu \Lambda
- Critics for KnowledgeBased Design Systems H. Liu \Lambda , C.D. Rowles and W.X. Wen
- A Monotonic Measure for Optimal Feature Selection
- SCALABLE FEATURE SELECTION FOR LARGE SIZED DATABASES
- A Selective Sampling Approach to Active Feature Selection
- Efficient Spectral Feature Selection with Minimum Redundancy Computer Science and Engineering
- SocialTagger -Collaborative Tagging for Blogs in the Long Tail
- Exception Rule Mining with a Relative Interestingness Measure
- Connecting Corresponding Identities across Communities Reza Zafarani and Huan Liu
- Identifying Relevant Databases for Multidatabase Mining
- Incremental Feature Selection \Lambda Huan Liu and Rudy Setiono
- Feature Selection for Image Data via Learning Patricia G. Foschi 1 , Deepak Kolippakkkam 2 , Huan Liu 2
- An Empirical Study of Building Compact Ensembles Huan Liu, Amit Mandvikar, and Jigar Mody
- Query Selection Techniques for Efficient Crawling of Structured Web Sources University of California
- Feature Selection for Clustering --A Filter Solution Manoranjan Dash Kiseok Choi Peter Scheuermann Huan Liu
- To appear in Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Oct., 1995, Vancouver, Canada. X2R: A Fast Rule Generator
- TRANSACTION ON KNOWLEDGE AND DATA ENGINEERING, 2010 1 Identifying Evolving Groups in Dynamic
- SBP'09 REGISTRATION FORM The 2nd International Workshop on Social Computing, Behavior Modeling and Prediction
- Intelligent instance selection of data streams for smart sensor applications
- Efficient Search of Reliable Exceptions Huan Liu 1 , Hongjun Lu 2 , Ling Feng 3 and Farhad Hussain 1
- Customer Retention via Data Mining KianSing Ng and Huan Liu (fngkians1, liuhg@comp.nus.edu.sg)
- Feature Selection for Clustering Manoranjan Dash and Huan Liu
- Advancing Feature Selection Research -ASU Feature Selection Repository
- Second International Workshop on Social Computing, Behavioral Modeling, and Prediction Phoenix, Arizona
- Feature Selection for Clustering Manoranjan Dash and Huan Liu
- Uncovering Groups via Heterogeneous Interaction Analysis Computer Science & Engineering
- Introduction Statistical Tests
- Evaluating the Trustworthiness of Wikipedia Articles through Quality and Credibility
- Active Sampling: An E ective Approach to Feature Selection Huan Liu Hongjun Lu y Lei Yu z
- Joint Concept Formation Huan Liu and Wilson X. Wen \Lambda
- Abstract--To determine when to present information from various devices or services to the driver of an automobile, it is
- Bias Analysis in Text Classification for Highly Skewed Data Lei Tang and Huan Liu
- Submitted to CS dept, ASU: TR-03-010 on 09/29/2003 An Image Mining Approach for Measuring Intensity, Size and
- Error-Sensitive Grading for Model Combination Surendra K. Singhi and Huan Liu
- Feature Selection with Selective Sampling Huan Liu hliu@asu.edu
- Identifying Biologically Relevant Genes via Multiple Heterogeneous Data Sources
- Relational Learning via Latent Social Dimensions Department of CSE
- Evaluating Subspace Clustering Algorithms Lance Parsons
- PRRS04-018 1 Abstract--To classify Egeria densa, Brazilian waterweed, in
- Contributors' Authorization to Publish SPRINGER SCIENCE+BUSINESS MEDIA, LLC
- Feature Transformation and Multivariate Decision Tree Induction
- Feature Selection via Discretization Huan Liu and Rudy Setiono
- A Balanced Ensemble Approach to Weighting Classifiers for Text Classification
- A Subspace Clustering Framework for Research Group Collaboration Nitin Agarwal Ehtesham Haque Huan Liu Lance Parsons
- Dimensionality Reduction for Unsupervised Data M Dash, H Liu, J Yao
- Feature Selection for Classification M. Dash and H. Liu
- To appear in KnowledgeBased Systems Dimensionality Reduction via Discretization
- Active Learning with Ensembles for Image Classification H. Liu and A. Mandvikar 1 and P. Foschi 2 and K. Torkkola 3
- Symbolic Representation of Neural Networks
- Incremental Learning with Support Vector Machines Nadeem Ahmed Syed Huan Liu Kah Kay Sung
- Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media
- To appear in Proceedings of IEAAIE96 FEATURE SELECTION AND CLASSIFICATION
- Towards Multidatabase Mining: Identifying Relevant Databases Huan Liu, Hongjun Lu, Jun Yao
- Chi2: Feature Selection and Discretization of Numeric Attributes Huan Liu and Rudy Setiono
- Efficient Hierarchical Clustering Algorithms using Partially Overlapping Partitions
- SBP'08 REGISTRATION FORM International Workshop on Social Computing, Behavior Modeling and Prediction
- SocialComputing,BehavioralModelingandPrediction(SBP2009) TheSecondInternationalWorkshoponSocialComputing,BehavioralModelingandPredictionwasheld
- A Social Identity Approach to Identify Familiar Strangers in a Social Network Nitin Agarwal, Huan Liu, Sudheendra Murthy, Arunabha Sen, and Xufei Wang
- Sensor Sequence Modeling for Driving Kari Torkkola
- SEARCHING MULTIPLE DATABASES FOR INTERESTING JUN YAO and HUAN LIU
- NeuroRule: A Connectionist Approach to Data Mining Hongjun Lu Rudy Setiono Huan Liu
- Toward Integrating Feature Selection Algorithms for Classification and Clustering
- Understanding Group Interaction in Blogosphere: A Case Study Nitin Agarwal
- Enhancing Accessibility of Microblogging Messages Using Semantic Knowledge
- Understanding User Migration Patterns in Social Media Shamanth Kumar, Reza Zafarani, and Huan Liu
- SDM 2012 http://www.siam.org/meetings/sdm12 Twelfth SIAM International Conference on Data Mining
- Exploiting Vulnerability to Secure User Privacy on a Social Networking Site
- Noname manuscript No. (will be inserted by the editor)
- SUBMISSION TO IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 On Similarity Preserving Feature Selection
- The Effect of the Characteristics of the Dataset on the Selection Stability
- Lessons Learned in Using Social Media for Disaster Relief -ASU Crisis Response Game
- mTrust: Discerning Multi-Faceted Trust in a Connected Jiliang Tang
- Exploring Social-Historical Ties on Location-Based Social Networks Huiji Gao, Jiliang Tang, and Huan Liu
- Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach
- Document Clustering via Matrix Representation Arizona State University
- Real-World Behavior Analysis through a Social Media Lens
- Social Status and Role Analysis of Palin's Email Network Arizona State University
- Feature Selection with Linked Data in Social Media Jiliang Tang
