icdm 2009 论文列表
ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009.
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Fast Visual Trajectory Analysis Using Spatial Bayesian Networks.
Enhancing the DBSCAN and Agglomerative Clustering Algorithms to Solve Network Planning Problem.
Information Services and Middleware for the Coastal Sensor Web.
Visualization and Classification of Power System Frequency Data Streams.
A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction.
Accurate Discovery of Valid Convoys from Moving Object Trajectories.
Spatiotemporal Relational Random Forests.
Multilayer Scene Similarity Assessment.
Analyzing Abnormal Events from Spatio-temporal Trajectories.
K-BestMatch Reconstruction and Comparison of Trajectory Data.
FARM : Feature-Assisted Aggregate Route Mining in Trajectory Data.
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes.
Greedy Optimization for Contiguity-Constrained Hierarchical Clustering.
Deriving Low-Level Steering Behaviors from Trajectory Data.
Multi-granularity Visualization of Trajectory Clusters Using Sub-trajectory Clustering.
Spatiotemporal Modeling and Monitoring of Atmospheric Hazardous Emissions Using Sensor Networks.
Spatio-temporal Multi-dimensional Relational Framework Trees.
Mining for Core Patterns in Stock Market Data.
Mining Data from Multiple Software Development Projects.
Improving Similarity Join Algorithms Using Fuzzy Clustering Technique.
Bucket Learning: Improving Model Quality through Enhancing Local Patterns.
Efficient Discovery of Closed Hyperclique Patterns in Multidimensional Structured Databases.
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets.
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis.
Theoretically Optimal Distributed Anomaly Detection.
Feature Selection with High-Dimensional Imbalanced Data.
Mining Multiple Satellite Sensor Data Using Collaborative Clustering.
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents.
LNBC: A Link-Based Naive Bayes Classifier.
A Data Mining Method to Extract and Rank Papers Describing Coexpression Predicates Semantically.
A WordNet-Based Semantic Model for Enhancing Text Clustering.
Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge Extraction.
Semantic-Rich Markov Models for Web Prefetching.
Document Clustering Using Semantic Kernels Based on Term-Term Correlations.
Pattern Mining over Star Schemas in the Onto4AR Framework.
Determining the Training Window for Small Sample Size Classification with Concept Drift.
Knowledge Transformation by Cross-Domain Belief Propagation.
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge.
Knowledge Transfer among Heterogeneous Information Networks.
Set-Based Boosting for Instance-Level Transfer.
Transferred Feature Selection.
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules.
Multiple Instance Transfer Learning.
Feature Selection for Maximizing the Area Under the ROC Curve.
Probabilistic Labeled Semi-supervised SVM.
Improved Multi Label Classification in Hierarchical Taxonomies.
A New Measure of Feature Selection Algorithms' Stability.
Nonsmooth Bilevel Programming for Hyperparameter Selection.
An Effective Network Partitioning Algorithm Based on Two-Point Diffusing Strategy.
GLSVM: Integrating Structured Feature Selection and Large Margin Classification.
Kernel K-means Based Framework for Aggregate Outputs Classification.
Mining of Attribute Interactions Using Information Theoretic Metrics.
Compressed Spectral Clustering.
Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases.
Efficient Dense Structure Mining Using MapReduce.
Greedy is not Enough: An Efficient Batch Mode Active Learning Algorithm.
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data.
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework.
Estimating the Parameters of Randomly Interleaved Markov Models.
Scalable Attribute-Value Extraction from Semi-structured Text.
Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters.
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs.
Why Naive Ensembles Do Not Work in Cloud Computing.
HOCT: A Highly Scalable Algorithm for Training Linear CRF on Modern Hardware.
SIMPLE: A Strategic Information Mining Platform for Licensing and Execution.
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations.
The Flexible Climate Data Analysis Tools (CDAT) for Multi-model Climate Simulation Data.
Change Detection in Climate Data over the Iberian Peninsula.
Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities.
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data.
A Distributed Computing Infrastructure for the Evaluation of Climate Models Using NASA Observational Data.
Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate.
Understanding Climate Change Patterns with Multivariate Geovisualization.
Data Mining Geophysical Content from Satellites and Global Climate Models.
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data.
Mining Personal Image Collection for Social Group Suggestion.
Semantic Linking between Video Ads and Web Services with Progressive Search.
TubeTagger - YouTube-based Concept Detection.
Cross-Domain Web Image Annotation.
Mining Event Definitions from Queries for Video Retrieval on the Internet.
Localized Content Based Image Retrieval with Self-Taught Multiple Instance Learning.
MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset.
A Study of Language Model for Image Retrieval.
Automatic Image Annotations by Mining Web Image Data.
Video2Text: Learning to Annotate Video Content.
Differential Privacy for Clinical Trial Data: Preliminary Evaluations.
An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners.
A Differentially Private Graph Estimator.
A Practical Differentially Private Random Decision Tree Classifier.
Efficient Anonymizations with Enhanced Utility.
Privacy Preserving Classification with Emerging Patterns.
Towards Context Aware Food Sales Prediction.
Integrating Knowledge in Search of Biologically Relevant Genes.
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.
Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning.
Tree-Based Approach to Missing Data Imputation.
Detecting and Interpreting Variable Interactions in Observational Ornithology Data.
Weighted Frequent Subgraph Mining in Weighted Graph Databases.
A Paradigm Shift: Combined Literature and Ontology-Driven Data Mining for Discovering Novel Relations in Biomedical Domain.
A New Minimally Supervised Learning Method for Semantic Term Classification - Experimental Results on Classifying Ratable Aspects Discussed in Customer Reviews.
Information Extraction for Clinical Data Mining: A Mammography Case Study.
Discovery of Quantitative Sequential Patterns from Event Sequences.
A Game Theoretical Model for Adversarial Learning.
Discovering Domain Specific Concepts within User-Generated Taxonomies.
Building Classifiers with Independency Constraints.
High Quality True-Positive Prediction for Fiscal Fraud Detection.
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering.
