icdm 2013 论文列表
13th IEEE International Conference on Data Mining Workshops, ICDM Workshops, TX, USA, December 7-10, 2013.
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Rapidly Labeling and Tracking Dynamically Evolving Concepts in Data Streams.
Host-Based Anomaly Detection Using Learning Techniques.
Local Discriminative Distance Metrics and their Real World Applications.
Quantification of Financial News for Economic Surveys.
Mining Adverse Drug Reactions from Electronic Health Records.
Mining Discrete Patterns via Binary Matrix Factorization.
Time-Sensitive Route Planning Using Location-Based Data.
MapReduce Based Frameworks for Classifying Evolving Data Stream.
A Multi Density-Based Clustering Algorithm for Data Stream with Noise.
NIM: Scalable Distributed Stream Process System on Mobile Network Data.
Demonstrating Interactive Multi-resolution Large Graph Exploration.
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects.
An Evaluation Framework for Temporal Subspace Clustering Approaches.
Demand Finder: Set Top Box Television Ad Targeting Using a Novel Interactive Data Visualization System.
The MiningZinc Framework for Constraint-Based Itemset Mining.
SaferCity: A System for Detecting and Analyzing Incidents from Social Media.
The Passenger Demand Prediction Model on Bus Networks.
New Spatiotemporal Clustering Algorithms and their Applications to Ozone Pollution.
Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures.
4D+SNN: A Spatio-Temporal Density-Based Clustering Approach with 4D Similarity.
Analyzing the Proximity and Interactions of Friends in Communities in Gowalla.
An Integer Programming Approach to Temporal Pattern Matching Queries.
Mining Semantic Time Period Similarity in Spatio-Temporal Climate Data.
DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks.
Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations.
Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework.
A Novel Approach to Trajectory Analysis Using String Matching and Clustering.
Qualitative Spatial Structure in Complex Areal Objects Using Location-Free, Mobile Geosensor Networks.
Subjective Bayes Method for Word Semantic Similarity Measurement.
Possible Usage of Sentiment Analysis for Calculating Vectors of Felific Calculus.
Interpreting or Describing? Measuring Verb Abstraction.
Sentiment Analysis in News Articles Using Sentic Computing.
A Framework of Review Analysis for Enhancement of Business Decision Making.
Learning the Roles of Directional Expressions and Domain Concepts in Financial News Analysis.
Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations.
Interest Analysis Using Semantic PageRank and Social Interaction Content.
Pattern-Based Topic Models for Information Filtering.
Robust Language Learning via Efficient Budgeted Online Algorithms.
Multi-Class Sentiment Analysis with Clustering and Score Representation.
Dynamic Construction of Dictionaries for Sentiment Classification.
Enhancing Sentiment Classification Performance Using Bi-Tagged Phrases.
Adaptive Differentially Private Data Release for Data Sharing and Data Mining.
Privacy Preserving Social Network Publication against Mutual Friend Attacks.
Data Anonymity Meets Non-discrimination.
Select-Organize-Anonymize: A Framework for Trajectory Data Anonymization.
Privacy-Preserving Kernel k-Means Outsourcing with Randomized Kernels.
Incentive-Compatible Privacy-Preserving Distributed Data Mining.
The Independence of Fairness-Aware Classifiers.
A Semi-Supervised Learning Approach to Differential Privacy.
Differentially Private Anomaly Detection with a Case Study on Epidemic Outbreak Detection.
Dissimilarity Features in Recommender Systems.
Cost-Free Learning for Support Vector Machines with a Reject Option.
Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning.
Infinite Mixed Membership Matrix Factorization.
How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge.
Unsupervised Clustering Strategy Based on Label Propagation.
Item-Based Top-k Influential User Discovery in Social Networks.
Fast Spectral Clustering with Landmark-Based Subspace Iteration.
Evaluation of Social, Geography, Location Effects for Point-of-Interest Recommendation.
Evaluation of Session-Based Recommendation Systems for Social Networks.
Optimal Correlation Clustering via MaxSAT.
Robust Cost-Sensitive Confidence-Weighted Classification.
IdeaGraph Plus: A Topic-Based Algorithm for Perceiving Unnoticed Events.
Valuation of Partly Disclosed Datasets for Prediction.
e-Trucks Realize Four Zeros Expectations, The Challenge by Market of Data.
Frame as a Clue to Intention of Data: Toward New Product Ideas with Framed Components.
Detecting Topics from Twitter Posts During TV Program Viewing.
Acquissition of Text-Mining Skills for Beginners Using TETDM.
Data Marketplace for Efficient Data Placement.
Valuation of Data through Use-Scenarios in Innovators' Marketplace on Data Jackets.
A Method for Generating Ontologies in Requirements Domain for Searching Data Sets in Marketplace.
Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads.
Quantifying and Recommending Expertise When New Skills Emerge.
Curating and Mining (Big) Data.
GPU-Accelerated Query by Humming Using Modified SPRING Algorithm.
Towards Optimal Symbolization for Time Series Comparisons.
A Study on Privacy Preservation for Multi-user and Multi-granularity.
Scalable Audience Reach Estimation in Real-Time Online Advertising.
In-Core Computation of Geometric Centralities with HyperBall: A Hundred Billion Nodes and Beyond.
Decision Support in Data Centers for Sustainability.
Cloud Based Predictive Analytics: Text Classification, Recommender Systems and Decision Support.
Decentralized K-Means Using Randomized Gossip Protocols for Clustering Large Datasets.
Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach.
Analysis of Incrementally Generated Clusters in Biological Networks Using Graph-Theoretic Filters and Ontology Enrichment.
Adaptive Budget for Online Learning.
Ontological Hierarchical Clustering for Library-Based Microbial Source Tracking.
Auto-Tuning Kernel Mean Matching.
Dynamic Analytics for Spatial Data with an Incremental Clustering Approach.
Analysis of UN Voting Patterns via Diffusion Geometry and Thematic Clustering.
Network Forensic Analysis Using Growing Hierarchical SOM.
Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness.
Incremental Anomaly Detection in Graphs.
Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud.
An Online Clustering Algorithm That Ignores Outliers: Application to Hierarchical Feature Learning from Sensory Data.
A Predictive Coding Framework for Learning to Predict Changes in Streaming Data.
Transform Residual K-Means Trees for Scalable Clustering.
A New Look at Compressed Ordinary Least Squares.
Pattern Discovery in High Dimensional Binary Data.
Dimensionality, Discriminability, Density and Distance Distributions.
Can Shared Nearest Neighbors Reduce Hubness in High-Dimensional Spaces?
Zombies Walk Among Us: Cross-Platform Data Mining for Event Monitoring.
Social Learning in Networks: Extraction of Deterministic Rules.
Machine Learning in Prediction of Stock Market Indicators Based on Historical Data and Data from Twitter Sentiment Analysis.
Empirical Discovery of Potential Value Leaks in Processes by Means of Formal Concept Analysis.
The Early Booking Effect and Other Determinants of Hotel Room Prices in Europe.
Towards Understanding the Effectiveness of Election Related Images in Social Media.
Towards the Integration of Constrained Mining with Star Schemas.
Detection of Precursors to Aviation Safety Incidents Due to Human Factors.
Weighted Task Regularization for Multitask Learning.
Predicting Current User Intent with Contextual Markov Models.
Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features.
Label Distribution Learning.
Model Driven Engineering for Data Miners Simulation.
Characterization of Corpora from Enterprise Technology Creation for Retrieval and Mining.
A Novel System for Extracting Useful Correlation in Smart Home Environment.
Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction.
On Identifying and Analyzing Significant Nodes in Protein-Protein Interaction Networks.
Evaluation and Comparison of Classification Techniques for Network Intrusion Detection.
On Mining Biological Signals Using Correlation Networks.
Online Extreme Learning on Fixed-Point Sensor Networks.
Continuous Monitoring of a Computer Network Using Multivariate Adaptive Estimation.
Scalable Flow-Based Community Detection for Large-Scale Network Analysis.
Non-Euclidean Internet Coordinates Embedding.
Reducing Classification Cost through Strategic Annotation Assignment.
Simulated Annealing Partitioning: An Algorithm for Optimizing Grouping in Cancer Data.
MedCat: A Framework for High Level Conceptualization of Medical Notes.
Handling Class Overlap and Imbalance to Detect Prompt Situations in Smart Homes.
Mining Approximate Temporal Functional Dependencies Based on Pure Temporal Grouping.
Modeling the Effects of Microgravity on Oxidation in Mitochondria: A Protein Damage Assessment across a Diverse Set of Life Forms.
Application of Bayesian Network Sheds Light on Purchase Decision Process Basing on RFID Technology.
Evaluation of Discount Effects Using Poisson Regression Based on Interaction Effects between Bargain Scale and Product Category.
Understanding Service Quality and Customer Churn by Process Discovery for a Multi-National Banking Contact Center.
Analytics-Based Solutions for Improving Alert Management Service for Enterprise Systems.
Prescriptive Analytics for Allocating Sales Teams to Opportunities.
Clustering of Order Sequences Based on the Typicalness Index for Finding Clinical Pathway Candidates.
Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn.
Synthesis of Decision Making: From Data to Business Execution.
Monetization and Services on a Real Online Social Network Using Social Network Analysis.
Improving Every Child's Chance in Life.
The Making of a Large-Scale Online Ad Server: Practical Lessons Building One of the World's Largest Online Ad Servers.
A Novel and Successful Credit Card Fraud Detection System Implemented in a Turkish Bank.
A Distinguishing Attack with a Neural Network.
"Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance.
On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example.
Support Vector Machines for Uplift Modeling.
Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery.
Mining Causal Association Rules.
A Novel Structural AR Modeling Approach for a Continuous Time Linear Markov System.
A Biclustering Algorithm to Discover Functional Modules from ENCODE ChIP-Seq Data.
A Tolerance Graph Approach for Domain-Specific Assembly of Next Generation Sequencing Data.
An Improved Model for Depression Detection in Micro-Blog Social Network.
Constrained Gaussian Process Regression for Gene-Disease Association.
Finding Discriminatory Genes: A Methodology for Validating Microarray Studies.
An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes.
A New Framework for Distilling Higher Quality Information from Health Data via Social Network Analysis.
Automatic Identification of Hexagonal Pattern Artifacts in Radio Astronomical Surveys.
On Using SIFT Descriptors for Image Parameter Evaluation.
Online Classification for Time-Domain Astronomy.
Neural Networks for Astronomical Data Analysis and Bayesian Inference.
Calculation and Applications of Bayesian Evidence in Astrophysics and Particle Physics Phenomenology.
Region-Based Querying of Solar Data Using Descriptor Signatures.
