icdm 2012 论文列表
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012.
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Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies.
Towards a Particle Swarm Optimization-Based Regression Rule Miner.
Selecting Accurate and Comprehensible Regression Algorithms through Meta Learning.
Modeling of Collective Synchronous Behavior on Social Media.
A Sorted Neighborhood Approach to Multidimensional Privacy Preserving Blocking.
Multislice Modularity Optimization in Community Detection and Image Segmentation.
Active Learning Based Rule Extraction for Regression.
Effective Text Classification by a Supervised Feature Selection Approach.
A Data Mining Framework for Monitoring Nuclear Facilities.
Tectonic Shifts in Television Advertising.
Data Mining for Official Statistics: Challenges and Opportunities.
Distributed Big Advertiser Data Mining.
Mining Trajectories for Spatio-temporal Analytics.
Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images.
AD-MAD: Automated Development and Optimization of Online Advertising Campaigns.
Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs.
Cubix: A Visual Analytics Tool for Conceptual and Semantic Data.
Mining Temporal Profiles of Mobile Applications for Usage Prediction.
A Subspace Clustering Extension for the KNIME Data Mining Framework.
Topick: Accurate Topic Distillation for User Streams.
OpinioNetIt: A Structured and Faceted Knowledge-base of Opinions.
Accurate Product Name Recognition from User Generated Content.
Identification and Disambiguation of Product Mentions with Information Retrieval and Problem Specific Methods.
An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge: Description of Submission System to CPROD1 Challenge.
An Ensemble-Based Named Entity Recognition Solution for Detecting Consumer Products.
An Overview of the CPROD1 Contest on Consumer Product Recognition within User Generated Postings and Normalization against a Large Product Catalog.
Rule Based Product Name Recognition and Disambiguation.
Learning to Extract Entity Uniqueness from Web for Helping User Decision Making.
Constructing and Exploring Composite Items Using Max-valid Bundles.
Endless and Scalable Knowledge Table Extraction from Semi-structured Websites.
Location Extraction from Social Networks with Commodity Software and Online Data.
Spatial Interestingness Measures for Co-location Pattern Mining.
Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-temporal Disease Occurrences Patterns.
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions.
Geo-referenced Time-Series Summarization Using k-Full Trees: A Summary of Results.
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents.
Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis.
Approximate Search on Massive Spatiotemporal Datasets.
Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies.
Performance-Optimizing Classification of Time-Series Based on Nearest Neighbor Density Approximation.
Geosocial Graph-Based Community Detection.
Twitter Keyword Volume, Current Spending, and Weekday Spending Norms Predict Consumer Spending.
Online Social Behavior in Twitter: A Literature Review.
Sentiment Polarity Classification Using Statistical Data Compression Models.
How Much Supervision? Corpus-Based Lexeme Sentiment Estimation.
Domain Adaptation Using Domain Similarity- and Domain Complexity-Based Instance Selection for Cross-Domain Sentiment Analysis.
Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering.
A Regularized Recommendation Algorithm with Probabilistic Sentiment-Ratings.
Full spectrum opinion mining: integrating domain, syntactic and lexical knowledge.
Representing and Resolving Negation for Sentiment Analysis.
Fine-grained Product Features Extraction and Categorization in Reviews Opinion Mining.
Learning Domain-Specific Polarity Lexicons.
Adaptation and Use of Subjectivity Lexicons for Domain Dependent Sentiment Classification.
Bootstrap Confidence Intervals in DirectLiNGAM.
Model Selection with Combining Valid and Optimal Prediction Intervals.
Outlier Detection in Logistic Regression: A Quest for Reliable Knowledge from Predictive Modeling and Classification.
A Weighted Support Vector Data Description Based on Rough Neighborhood Approximation.
Reliable Knowledge Discovery with a Minimal Causal Model Inducer.
The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data.
Generating Diverse Realistic Data Sets for Episode Mining.
Logical Itemset Mining.
Enhancing the Analysis of Large Multimedia Applications Execution Traces with FrameMiner.
Generalized Expansion Dimension.
Thorough Analysis of Log Data with Dependency Rules: Practical Solutions and Theoretical Challenges.
Beware of What You Share: Inferring Home Location in Social Networks.
Measuring Local Topological Anonymity in Social Networks.
Interactive Grouping of Friends in OSN: Towards Online Context Management.
A Practical System for Privacy-Preserving Collaborative Filtering.
Exploiting Dynamic Privacy in Socially Regularized Recommenders.
The Transfer Learning Based on Relationships between Attributes.
The Performance of Alternative Exchange Rate Regimes and their Countries' Condition: Matching Analysis and Selection Model Building.
Robust Kernel Nonnegative Matrix Factorization.
Learning from Multiple Annotators: When Data is Hard and Annotators are Unreliable.
Nonlinear Unsupervised Feature Learning: How Local Similarities Lead to Global Coding.
Regular Multiple Criteria Linear Programming for Semi-supervised Classification.
Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information.
Overlapping Clustering with Sparseness Constraints.
Employing the Principal Hessian Direction for Building Hinging Hyperplane Models.
Anomalous Neighborhood Selection.
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network.
OCCAMS - An Optimal Combinatorial Covering Algorithm for Multi-document Summarization.
MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering.
Large Scale KNN-Graph Approximation.
Convex-Concave Hull for Classification with Support Vector Machine.
Scalable Clustering Using PACT Programming Model.
Genetic Algorithm Based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks.
Using Storm to Perform Dynamic Egocentric Network Motif Analysis.
Parallel Concept Drift Detection with Online Map-Reduce.
Discovering Gender Discrimination in Project Funding.
Discriminatory Decision Policy Aware Classification.
Considerations on Fairness-Aware Data Mining.
Classifying Socially Sensitive Data Without Discrimination: An Analysis of a Crime Suspect Dataset.
Injecting Discrimination and Privacy Awareness Into Pattern Discovery.
A Study on the Impact of Data Anonymization on Anti-discrimination.
Exploring Discrimination: A User-centric Evaluation of Discrimination-Aware Data Mining.
Extracting Information from Sequences of Financial Ratios with Markov for Discrimination: An Application to Bankruptcy Prediction.
Evaluating Fraud Detection Algorithms Using an Auction Data Generator.
Exploration of Dependencies among Sections in a Supermarket Using a Tree-Structured Undirected Graphical Model.
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees.
Streamlining Service Levels for IT Infrastructure Support.
Viewers' Side Analysis of Social Interests.
Data-Oriented Construction and Maintenance of Clinical Pathway Using Similarity-Based Data Mining Methods.
Temporary Staffing Services: A Data Mining Perspective.
Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement.
Data Mining in the Age of Curation.
Sampling Online Social Networks Using Coupling from the Past.
Maximizing Information Spread through Influence Structures in Social Networks.
Canonical Correlation Analysis for Detecting Changes in Network Structure.
Uncovering the Spatio-temporal Structure of Social Networks Using Cell Phone Records.
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks.
Effect of Data Repair on Mining Network Streams.
Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing.
Motif Mining in Weighted Networks.
Sensor Network Localization for Moving Sensors.
Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects.
A Weighted SOM for Classifying Data with Instance-Varying Importance.
Towards Utility Maximization in Regression.
When Additional Views are Not Free: Active View Completion for Multi-view Semi-Supervised Learning.
A Multi-armed Bandit Approach to Cost-Sensitive Decision Tree Learning.
Learning Cost-Sensitive Rules for Non-forced Classification.
An Approximation of the Integrated Classification Likelihood for the Latent Block Model.
Mining Local Staircase Patterns in Noisy Data.
Biclustering of High-throughput Gene Expression Data with Bicluster Miner.
Concept-Based Biclustering for Internet Advertisement.
A Triclustering Approach for Time Evolving Graphs.
TeamFinder: A Co-clustering based Framework for Finding an Effective Team of Experts in Social Networks.
Mining Medical Data to Develop Clinical Decision Making Tools in Hemodialysis.
Discovering Aging-Genes by Topological Features in Drosophila melanogaster Protein-Protein Interaction Network.
Discovering Aberrant Patterns of Human Connectome in Alzheimer's Disease via Subgraph Mining.
Evidence Theory-Based Approach for Epileptic Seizure Detection Using EEG Signals.
Using Perspective Wall to Visualize Medical Data in the Intensive Care Unit.
Clustering Tandem Repeats via Trinucleotides.
Adapting Surgical Models to Individual Hospitals Using Transfer Learning.
Evaluation of Feature Ranking Ensembles for High-Dimensional Biomedical Data: A Case Study.
Improved Feature Selection by Incorporating Gene Similarity Into the LASSO.
Cerebral Palsy EEG Signals Classification: Facial Expressions and Thoughts for Driving an Intelligent Wheelchair.
Figure Retrieval in Biomedical Literature.
Predicting Hospital Length of Stay (PHLOS): A Multi-tiered Data Mining Approach.
Diagnosis of Coronary Artery Disease Using Cost-Sensitive Algorithms.
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics.
