icdm 2011 论文列表
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011.
|
SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence.
AskUs: An Opinion Search Engine.
Route Discovery from Mining Uncertain Trajectories.
NetDriller: A Powerful Social Network Analysis Tool.
TeamExp: Top-k Team Formation in Social Networks.
BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data.
BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain.
Towards a Framework for Detecting and Managing Opinion Contradictions.
Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences.
Community Evolution in Dynamic Social Networks - Challenges and Problems.
Understanding and Exploiting the Connections between NMF and SVM.
Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures.
On Efficient Distance-Based Similarity Search.
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations.
Visualization of Hospital Services Using Data Mining Methods.
An Information Extraction Method from Different Structural Web Sites by Word Distances between a User Instantiated Label and Similar Entity.
Analysis of Residence Time in Shopping Using RFID Data - An Application of the Kernel Density Estimation to RFID.
RFM Variables Revisited Using Quantile Regression.
Summarizing Contrasts by Recursive Pattern Mining.
Correlation and Contrast Link Formation Patterns in a Time Evolving Graph.
Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book.
A New Algorithm Based on Shared Pattern-Tree to Mine Shared Emerging Patterns.
Visually Contrast Two Collections of Frequent Patterns.
Constraint-Based Pattern Mining in Multi-relational Databases.
A Constraint-Based Language for Declarative Pattern Discovery.
Declarative Heuristic Search for Pattern Set Mining.
CLIM: Closed Inclusion Dependency Mining in Databases.
A Constraint Programming Approach for Enumerating Motifs in a Sequence.
Mining of EL-GCIs.
FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset.
A Three-Step Validation Following Genome-Wide Data Mining for Myosin Family Members Improves Search Efficiency.
In Vivo and In Silico Evidence: Hippocampal Cholesterol Metabolism Decreases with Aging and Increases with Alzheimers Disease - Modeling Brain Aging and Disease.
Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization.
Mining Protein Sequence Databases for Remote Homologues That Can Display Considerable Domain Length Variations.
Medical Data Mining for Early Deterioration Warning in General Hospital Wards.
Graph Based Classification of MRI Data Based on the Ventricular System.
Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions.
Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical Prognosis.
From Sequences to Papers: An Information Retrieval Exercise.
Confident Surgical Decision Making in Temporal Lobe Epilepsy by Heterogeneous Classifier Ensembles.
Identifying HotSpots in Lung Cancer Data Using Association Rule Mining.
Collaborative Filtering for Coordinated Monitoring in Sensor Networks.
Scalable Link Prediction on Multidimensional Networks.
Diffusion in Networks with Overlapping Community Structure.
Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article.
Imputation of Missing Links and Attributes in Longitudinal Social Surveys.
Stochastic Network Motif Detection in Social Media.
Automatically Spotting Information-Rich Nodes in Graphs.
Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks.
Temporal Scale of Processes in Dynamic Networks.
Prophet - A Link-Predictor to Learn New Rules on NELL.
New Object Detection for On-board Robot Vision by Lifting Complex Wavelet Transforms.
Spatial and Temporal Analysis of Planet Scale Vehicular Imagery Data.
Linearly-Combined Web Sensors for Spatio-temporal Data Extraction from the Web.
Origin/Destination-estimation Using Cellular Network Data.
Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect.
Trended DTW Based on Piecewise Linear Approximation for Time Series Mining.
High-Resolution Urban Image Classification Using Extended Features.
Efficiently Mining Dynamic Zonal Co-location Patterns Based on Maximal Co-locations.
Incremental Maintenance of Topological Patterns in Spatial-Temporal Database.
Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets.
Incremental Support Vector Clustering.
Visual Analysis of Bipartite Networks.
From Videos to Places: Geolocating the World's Videos.
Learning to Combine Ad-hoc Ranking Functions for Image Retrieval.
Wisdom of Crowds: Single Image Super-resolution from the Web.
FpMapViz: A Space-Filling Visualization for Frequent Patterns.
Online Heterogeneous Feature Fusion for Visual Recognition.
Efficient Indexing for Mobile Image Retrieval.
Clustering Based Fast Low-Rank Approximation for Large-Scale Graph.
Crime Forecasting Using Data Mining Techniques.
An Augmented Vector Space Information Retrieval for Recovering Requirements Traceability.
Evaluation and Extension to the Duckworth Lewis Method: A Dual Application of Data Mining Techniques.
An Analysis of Treatment Patterns: A Case Study on Carpal Tunnel Syndrome.
Dynamic Loan Service Monitoring Using Segmented Hidden Markov Models.
Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform.
A/B Testing at SweetIM: The Importance of Proper Statistical Analysis.
Evolutionary Algorithms for Selecting the Architecture of a MLP Neural Network: A Credit Scoring Case.
"The 100 Most Influential Persons in History": A Data Mining Perspective.
Integrating Collaborative Filtering and Search-Based Techniques for Personalized Online Product Recommendation.
Characterizing Anomalous Behaviors and Revising Robotic Controllers.
Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams.
Lifted-Rollout for Approximate Policy Iteration of Markov Decision Process.
Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit.
Privacy Preserving Outlier Detection Using Locality Sensitive Hashing.
Rating: Privacy Preservation for Multiple Attributes with Different Sensitivity Requirements.
Preventing Identity Disclosure in Hypergraphs.
Applicability of Regression-Tree-Based Synthetic Data Methods for Business Data.
Fairness-aware Learning through Regularization Approach.
Data Mining and Privacy of Personal Behaviour Types in Smart Grid.
Privacy Preserving GWAS Data Sharing.
enList: Automatically Simplifying Privacy Policies.
An Application of Differentially Private Linear Mixed Modeling.
Interpretability of Sudden Concept Drift in Medical Informatics Domain.
Drift Detection Using Uncertainty Distribution Divergence.
Classification in Presence of Drift and Latency.
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection.
Interpretable, Online Soft-Sensors for Process Control.
What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data.
Detecting Mean Changes in Data Streams.
Change Mining of Customer Profiles Based on Transactional Data.
Unifying Change - Towards a Framework for Detecting the Unexpected.
A Tag-Based Hybrid Music Recommendation System Using Semantic Relations and Multi-domain Information.
Transportability of Causal and Statistical Relations: A Formal Approach.
Using Modified Multivariate Bag-of-Words Models to Classify Physiological Data.
Greedy Regularized Least-Squares for Multi-task Learning.
Indexing Faces in Broadcast News Video Archives.
Multitask Multiclass Support Vector Machines.
Approximate Record Matching Using Hash Grams.
Cross-Domain Recommender Systems.
Relational Fuzzy Clustering with Multiple Kernels.
Agent Assignment for Process Management: Competency-Driven Dynamic Resource Management Methodology.
Domain-Specific Adaptation of a Partial Least Squares Regression Model for Loan Defaults Prediction.
CAPRE: A New Methodology for Product Recommendation Based on Customer Actionability and Profitability.
Domain-Driven Data Mining in Human Resource Management: A Review.
Revealing Cluster Formation over Huge Volatile Robotic Data.
Automatic Training Data Cleaning for Text Classification.
Semi-supervised Failure Prediction for Oil Production Wells.
A Novel Knowledge-Based Twin Support Vector Machine.
Mining Infrequent Causal Associations in Electronic Health Databases.
Automatic Cleaning and Linking of Historical Census Data Using Household Information.
Certainty-Enhanced Active Learning for Improving Imbalanced Data Classification.
FAARM: Frequent Association Action Rules Mining Using FP-Tree.
Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators.
A Diffusion of Innovation-Based Closeness Measure for Network Associations.
Time-Aware Ranking in Dynamic Citation Networks.
An Effective Expert Team Formation in Social Networks Based on Skill Grading.
Random Walk Based Resource Allocation: Predicting and Recommending Links in Cross-Operator Mobile Communication Networks.
Employing Team Composition Strategies for Recommending Teams.
SLPA: Uncovering Overlapping Communities in Social Networks via a Speaker-Listener Interaction Dynamic Process.
Retweet Modeling Using Conditional Random Fields.
Exploring Support Vector Machines and Random Forests to Detect Advanced Fee Fraud Activities on Internet.
Mobile Phone Graph Evolution: Findings, Model and Interpretation.
Isanette: A Common and Common Sense Knowledge Base for Opinion Mining.
Stream Prediction Using Representative Episode Rules.
A Novel Co-clustering Method with Intra-similarities.
Kernel-Based Clustering with Automatic Cluster Number Selection.
Parametric Characterization of Multimodal Distributions with Non-gaussian Modes.
Classification for Orange Varieties Using Near Infrared Spectroscopy.
Integrating Pairwise Constraints into Clustering Algorithms: Optimization-Based Approaches.
Entity Resolution with Attribute and Connection Graph.
Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning.
Twitter Trending Topic Classification.
Active Learning from Positive and Unlabeled Data.
Boosting Unsupervised Additive Clustering Using Cluster-Wise Optimization and Multi-label Learning.
Efficient Iterative Semi-supervised Classification on Manifold.
Meta-learning for Selecting a Multi-label Classification Algorithm.
Learning to Group Web Text Incorporating Prior Information.
Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning Management.
Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures.
The Deployment of MML for Data Analytics over the Cloud.
Finding the 'Needle': Locating Interesting Nodes Using the K-shortest Paths Algorithm in MapReduce.
LI-MR: A Local Iteration Map/Reduce Model and Its Application to Mine Community Structure in Large-Scale Networks.
Latency Minimizing Tasking for Information Processing Systems.
A Large Scale URL Verification Pipeline Using Hadoop.
Epidemic K-Means Clustering.
Frequent Pairs in Data Streams: Exploiting Parallelism and Skew.
Detecting Abnormal Machine Characteristics in Cloud Infrastructures.
SES: Sentiment Elicitation System for Social Media Data.
Mining Opinion Attributes from Texts Using Multiple Kernel Learning.
Detecting General Opinions from Customer Surveys.
Fine-Grained Opinion Mining Using Conditional Random Fields.
Longitudinal Sales Responses with Online Reviews.
Discourse Structure and Sentiment.
AQA: Aspect-based Opinion Question Answering.
Multi-aspect Sentiment Analysis with Topic Models.
Machine Reading for Notion-Based Sentiment Mining.
STARLET: Multi-document Summarization of Service and Product Reviews with Balanced Rating Distributions.
Improving Sentiment Classification Using Feature Highlighting and Feature Bagging.
Deriving Insights from National Happiness Indices.
Multilingual Sentiment Analysis Using Latent Semantic Indexing and Machine Learning.
Parallel Kriging Analysis for Large Spatial Datasets.
Spatio-Temporal Mining of Core Regions: Study of Rainfall Patterns in Monsoonal India.
Evaluating Hurricane Intensity Prediction Techniques in Real Time.
Modeling Unreliable Data and Sensors: Using F-measure Attribute Performance with Test Samples from Low-Cost Sensors.
Community Dynamics and Analysis of Decadal Trends in Climate Data.
Sparse Group Lasso for Regression on Land Climate Variables.
