icdm 2010 论文列表
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010.
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Adaptive Multimedia Mining on Distributed Stream Processing Systems.
uRule: A Rule-Based Classification System for Uncertain Data.
QueRIE: A Query Recommender System Supporting Interactive Database Exploration.
Enhancing Document Exploration with OLAP.
i-Analyst: An Agent-Based Distributed Data Mining Platform.
Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA.
Targeting Television Audiences Using Demographic Similarity.
MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions.
Data Prediction Competitions -- Far More than Just a Bit of Fun.
Clutter-Adaptive Visualization for Mobile Data Mining.
Meerkat: Community Mining with Dynamic Social Networks.
IEEE ICDM 2010 Contest: TomTom Traffic Prediction for Intelligent GPS Navigation.
Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.
IEEE ICDM 2010 Contest: Traffic Prediction -- Jams.
Ensemble-Based Method for Task 2: Predicting Traffic Jam.
Predicting Future Traffic Congestion from Automated Traffic Recorder Readings with an Ensemble of Random Forests.
Predicting Travel Times with Context-Dependent Random Forests by Modeling Local and Aggregate Traffic Flow.
A Convex Combination of Models for Predicting Road Traffic.
Parallelized Boosting with Map-Reduce.
Enhancing Ubiquitous Systems through System Call Mining.
EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs.
dMaximalCliques: A Distributed Algorithm for Enumerating All Maximal Cliques and Maximal Clique Distribution.
Multi-step Time Series Prediction in Complex Instrumented Domains.
Using Adaptive Downsampling to Compare Time Series with Warping.
Sliding HyperLogLog: Estimating Cardinality in a Data Stream over a Sliding Window.
Subspace Distance-Based Sampling Method for SVM.
From Convex to Nonconvex: A Loss Function Analysis for Binary Classification.
A Novel Ranking Algorithm for Service Matching Based on Agent Association Graphs.
ALPOS: A Machine Learning Approach for Analyzing Microblogging Data.
Integer Programming for Multi-class Active Learning.
Integrating Symmetric Nonnegative Matrix Factorization and Normalized Cut Spectral Clustering.
Large-Scale Matrix Factorization Using MapReduce.
A Comparison of Objective Functions in Network Community Detection.
Efficient Additive Models via the Generalized Lasso.
Distributed Flow Algorithms for Scalable Similarity Visualization.
Reviewer Profiling Using Sparse Matrix Regression.
Cluster Cores and Modularity Maximization.
Semi-supervised PLSA for Document Clustering.
Find Intelligent Knowledge by Second-Order Mining: Three Cases from China.
Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees.
Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating.
XML Documents Clustering Using Tensor Space Model -- A Preliminary Study.
Efficient Dimensionality Reduction on Undersampled Problems through Incremental Discriminative Common Vectors.
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System.
Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification.
A Framework for Emotion Mining from Text in Online Social Networks.
Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems.
High-Order Concept Associations Mining and Inferential Language Modeling for Online Review Spam Detection.
Sentence-Level and Document-Level Sentiment Mining for Arabic Texts.
Mining Arabic Business Reviews.
A Block Mixture Model for Pattern Discovery in Preference Data.
The PARIS Algorithm for Determining Latent Topics.
Infrequent Purchased Product Recommendation Making Based on User Behaviour and Opinions in E-commerce Sites.
Towards Data-Oriented Hospital Services: Data Mining-Based Hospital Management.
Discovering Temporal Features and Relations of Activity Patterns.
Interesting Subset Discovery and Its Application on Service Processes.
Contextual Segmentation: Using Context to Improve Behavior Predictive Models in E-commerce.
Automated Prompting in a Smart Home Environment.
Knowledge File System -- A Principled Approach to Personal Information Management.
Large-Scale Customized Models for Advertisers.
Learning with Actionable Attributes: Attention -- Boundary Cases!
The Effectiveness of a New Negative Correlation Learning Algorithm for Classification Ensembles.
Agent Assignment for Process Management: Agent Performance Evaluation Framework.
Sequence Alignment Based Analysis of Player Behavior in Massively Multiplayer Online Role-Playing Games (MMORPGs).
Using Taxonomies to Perform Aggregated Querying over Imprecise Data.
Contextual Sequential Pattern Mining.
Medically Driven Data Mining Application: Recognition of Health Problems from Gait Patterns of Elderly.
Insights from Applying Sequential Pattern Mining to E-commerce Click Stream Data.
Domain-Driven Data Mining for IT Infrastructure Support.
Vote-Based LELC for Positive and Unlabeled Textual Data Streams.
Network Anomaly Detection Using a Commute Distance Based Approach.
Trading Tests of Long-Term Market Forecast by Text Mining.
Evaluating Association Rules by Quantitative Pairwise Property Comparisons.
Controlling Consistency in Top-N Recommender Systems.
Link Prediction Across Multiple Social Networks.
Semantic Image Retrieval Based on Multiple-Instance Learning.
Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling.
Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes.
Towards the Detection of Potential Contradictions in Fuzzy Ontology Using a High Level Net Approach Integrated with Uncertainty Inference.
Batch Mode Sparse Active Learning.
Co-occurrence based predictors for estimating query difficulty.
A Study on the Accuracy of Frequency Measures and Its Impact on Knowledge Discovery in Single Sequences.
Towards a Reliable Framework of Uncertainty-Based Group Decision Support System.
Change with Delayed Labeling: When is it Detectable?
Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Testing.
Temporal Logic TL ^Z_ {DU} Modeling Local and Global Discovery with Logical Uncertainty.
Finding Rare Patterns with Weak Correlation Constraint.
Innovators Marketplace as Game on the Table versus Board on the Web.
Paired Evaluators Method to Track Concept Drift: An Application for Hedge Funds Operations.
Text Categorization with Considering Temporal Patterns of Term Usages.
Curation in Chance Discovery.
An Integrative Scoring Approach to Identify Transcriptional Regulations Controlling Lung Surfactant Homeostasis.
FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets.
An Empirical Comparison of Platt Calibration and Inductive Confidence Machines for Predictions in Drug Discovery.
Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions.
Evaluation of Protein Backbone Alphabets: Using Predicted Local Structure for Fold Recognition.
Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain.
Cost-Sensitive Feature Selection Based on the Set Covering Machine.
Is Topotecan Effective at Killing Cancer Cells?
Interaction as an Interestingness Measure.
Overcoming the Curse of Dimensionality in a Statistical Geometry Based Computational Protein Mutagenesis.
Parametric Templates: A New Enzyme Active-Site Prediction Algorithm.
A Sequence Data Mining Protocol to Identify Best Representative Sequence for Protein Domain Families.
Curve Profiling Feature: Novel Compact Representation for Drosophila Embryonic Gene Expression Pattern Mining.
Efficient Alignments of Metabolic Networks with Bounded Treewidth.
Fixed-Parameter Tractable Combinatorial Algorithms for Metabolic Networks Alignments.
The Multiple Alignment Algorithm for Metabolic Pathways without Abstraction.
System Biology Approach for Elucidating the Relationship Between Indonesian Herbal Plants and the Efficacy of Jamu.
Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees.
Quantum Path Integral Inspired Query Sequence Suggestion for User Search Task Simplification.
Using SOM-Ward Clustering and Predictive Analytics for Conducting Customer Segmentation.
Gaussian Processes for Dispatching Rule Selection in Production Scheduling: Comparison of Learning Techniques.
Visual Predictions of Currency Crises Using Self-Organizing Maps.
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia.
Mining Heterogeneous ADS-B Data Sets for Probabilistic Models of Pilot Behavior.
Unsupervised DRG Upcoding Detection in Healthcare Databases.
Sales Forecasting of IT Products Using a Hybrid MARS and SVR Model.
Empirical Analysis: News Impact on Stock Prices Based on News Density.
Application of Data Mining for Anti-money Laundering Detection: A Case Study.
Efficient Rule Generation for Dominant Class Problems on LARM.
Graphics Classification for Enterprise Knowledge Management.
Variable Productivity Adjustment Estimation for Function Point Project Delivery.
Using Ontology and Sequence Information for Extracting Behavior Patterns from Web Navigation Logs.
Analysis of Collaborative Writing Processes Using Hidden Markov Models and Semantic Heuristics.
Incorporating Multi-partite Networks and Expertise to Construct Related-Term Graphs.
From Pattern Discovery to Pattern Interpretation in Movement Data.
Semantic Content Filtering with Wikipedia and Ontologies.
Geospatial Schema Matching with High-Quality Cluster Assurance and Location Mining from Social Network.
Identifying Similar Neighborhood Structures in Private Social Networks.
A Privacy Preserving Framework for Gaussian Mixture Models.
Anonymizing Graphs Against Weight-Based Attacks.
Frequent Closed Itemset Mining with Privacy Preserving for Distributed Databases.
Privacy Violations Using Microtargeted Ads: A Case Study.
On Attribute Disclosure in Randomization Based Privacy Preserving Data Publishing.
Identifying and Preventing Data Leakage in Multi-relational Classification.
Language-Based Enforcement of Access Constraints on Geoscientific Image Data.
BODY -- Buckets of Disease Symptoms for Disease Outbreak Analysis.
High-Dimensional Multimodal Distribution Embedding.
SIMPLE: Interactive Analytics on Patent Data.
User-Based Active Learning.
Visually Controllable Data Mining Methods.
Evolving Ensemble-Clustering to a Feedback-Driven Process.
Analysing the Large-Scale, Time-Oriented, VAST 2010 MC2 Dataset with PRISMA.
A Visual Analytics Tool for Analysing Microarray Data.
Toward Finding Hidden Communities Based on User Profile.
Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations.
RnR: Extracting Rationale from Online Reviews and Ratings.
A Social Matching System for an Online Dating Network: A Preliminary Study.
Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks.
The Meme Ranking Problem: Maximizing Microblogging Virality.
Detecting and Tracking Community Dynamics in Evolutionary Networks.
Extracting Representative Tags for Flickr Users.
Improving Matching Process in Social Network.
Catching a Viral Video.
Towards Community Discovery in Signed Collaborative Interaction Networks.
Measuring Similarity for Multidimensional Sequences.
Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images.
A K-Main Routes Approach to Spatial Network Activity Summarization: A Summary of Results.
Curvature Maxima-based Trajectories Mining.
Spatio-Temporal Symbolization of Multidimensional Time Series.
Sample Bias due to Missing Data in Mobility Surveys.
Computing Popular Places Using Graphics Processors.
Using Self-Organizing Map and Heuristics to Identify Small Statistical Areas Based on Household Socio-Economic Indicators in Turkey's Address Based Population Register System.
Learning Maximum Lag for Grouped Graphical Granger Models.
Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments.
Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data.
Putting Pixels in Place: A Storage Layout Language for Scientific Data.
Parallelizing an Information Theoretic Co-clustering Algorithm Using a Cloud Middleware.
Parallel EM-Clustering: Fast Convergence by Asynchronous Model Updates.
S4: Distributed Stream Computing Platform.
dSimpleGraph: A Novel Distributed Clustering Algorithm for Exploring Very Large Scale Unknown Data Sets.
Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce.
Challenges in Scheduling Aggregation in Cyberphysical Information Processing Systems.
Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets.
Minimum Spanning Tree Based Classification Model for Massive Data with MapReduce Implementation.
On Finding Similar Items in a Stream of Transactions.
Data Analysis in Los Angeles Long Beach with Seasonal Time Series Model.
Mining Spatial Co-occurrence of Drought Events from Climate Data of India.
A New Data Mining Model for Hurricane Intensity Prediction.
Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques.
Distributed Classification on Peers with Variable Data Spaces and Distributions.
Event Data Mining and Classification from Multiple Streaming Sources.
CUBS: Multivariate Sequence Classification Using Bounded Z-score with Sampling.
Multiple Feature-Based Classifier and Its Application to Image Classification.
Learning Document Labels from Enriched Click Graphs.
A Triple-Random Ensemble Classification Method for Mining Multi-label Data.
Learning a Combination of Dissimilarities from a Set of Equivalence Constraints.
Differential Analysis on Deep Web Data Sources.
PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification.
Mining Research Topics Evolving Over Time Using a Diachronic Multi-source Approach.
Diffusion Maps: A Superior Semantic Method to Improve Similarity Join Performance.
W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks.
