icdm 2014 论文列表2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. |
A New Coupled Metric Learning for Real-time Anomalies Detection with High-Frequency Field Programmable Gate Arrays.
LibEDM: A Platform for Ensemble Based Data Mining.
RepComment: A Fair Comment-Sentiment Representation System.
Interoperability-Enriched App Recommendation.
Web Service QoS Prediction Approach in Mobile Internet Environments.
Smart Saver: A Consumer-Oriented Web Service for Energy Disaggregation.
e2-Diagnoser: A System for Monitoring, Forecasting and Diagnosing Energy Usage.
HealthSCOPE: An Interactive Distributed Data Mining Framework for Scalable Prediction of Healthcare Costs.
James Marquardt Stacey Newman Deepa Hattarki Rajagopalan Srinivasan Shanu Sushmita Prabhu Ram Viren Prasad David Hazel Archana Ramesh Martine De Cock Ankur Teredesai
Visual-VM: A Social Network Visualization Tool for Viral Marketing.
Pathway-Finder: An Interactive Recommender System for Supporting Personalized Care Pathways.
Rui Liu Raj Velamur Srinivasan Kiyana Zolfaghar Si-Chi Chin Senjuti Basu Roy Aftab Hasan David Hazel
Finding Valuable Yelp Comments by Personality, Content, Geo, and Anomaly Analysis.
Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media.
Trip Router: A Time-Sensitive Route Recommender System.
RQL: A SQL-Like Query Language for Discovering Meaningful Rules.
Big Data Stream Learning with SAMOA.
Fuzzy Sentiment Membership Determining for Sentiment Classification.
Joint Visual and Textual Mining on Social Media.
Clinical Decision Making: A Framework for Predicting Rx Response.
Aarti Sathyanarayana Jyotishman Pathak Rozalina G. McCoy Santiago Romero-Brufau Maryam Panaziahar Jaideep Srivastava
Sequential Pattern Analysis with Right Granularity.
Efficient and Accelerated Online Learning for Sparse Group Lasso.
Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data.
Leverage Item Popularity and Recommendation Quality via Cost-Sensitive Factorization Machines.
Discretizing Numerical Attributes in Decision Tree for Big Data Analysis.
Real-time Dynamic Visualization Techniques for Massive Geospatial Data.
A Novel Disparity Refinement Method Based on Semi-Global Matching Algorithm.
Estimating the Distribution of Economy Activity: A Case Study in Jiangsu Province (China) Using Large Scale Social Network Data.
A Novel Dummy-Based Mechanism to Protect Privacy on Trajectories.
Video Retrieval Methods Using Geographic Information in Windows Azure Cloud.
Iteratively Learning Conditional Statements in Transforming Data by Example.
Semi-Supervised Consensus Clustering: Reducing Human Effort.
Comparing Classifiers in Historical Census Linkage.
Integration and Automation of Data Preparation and Data Mining.
Analytics-Enabled Disaster Preparedness and Emergency Management.
HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data.
A New Fast Minimum Spanning Tree-Based Clustering Technique.
Parallel Frequent Pattern Mining without Candidate Generation on GPUs.
DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds.
A Further Investigation on the Reliability of Extreme Learning Machines.
The Eyes of the Beholder: Gender Prediction Using Images Posted in Online Social Networks.
Semantic Features for Food Image Recognition with Geo-Constraints.
Topical Influential User Analysis with Relationship Strength Estimation in Twitter.
Recommender Systems Using Harmonic Analysis.
Combining Multiple Network Features for Mild Cognitive Impairment Classification.
A Novel Time-Frequency Analysis Approach for Nonstationary Time Series Using Multiresolution Wavelet.
Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images.
Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance.
Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy.
Blood Vessel Segmentation in Pathological Retinal Image.
A Retweet Number Prediction Model Based on Followers' Retweet Intention and Influence.
Cost-Effective User Monitoring for Popularity Prediction of Online User-Generated Content.
Estimating Online User Location Distribution without GPS Location.
Chinese Microblog Sentiment Classification Based on Deep Belief Nets with Extended Multi-Modality Features.
Clustering and Classification of Like-Minded People from their Tweets.
Categorizing Social Multimedia by Neighborhood Decision Using Local Pairwise Label Correlation.
An Efficient Algorithm for Finding Continuous Coherent Evolution Bicluster in Time-Series Data.
A Collaborative and Adaptive Intrusion Detection Based on SVMs and Decision Trees.
Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization.
Query Hidden Attributes in Social Networks.
Accelerated Online Learning for Collaborative Filtering and Recommender Systems.
An Extenics-Based Criteria Clustering Method.
An Effective Clustering Algorithm for Auto-Detecting Well-Separated Clusters.
Illumination Invariant Face Recognition with Particle Swarm Optimization.
Medical Error Prevention Based on Path Integration System Approach.
What Makes an Open Source Code Popular on Git Hub?
A Comparison of Approaches to Chinese Word Segmentation in Hadoop.
Taming a Fuzzer Using Delta Debugging Trails.
Ontology-Based Software Requirements Reuse: Case Study in Fire Control Software Product Line Domain.
Software Process Simulation Based on Mining Software Repositories.
A Scalable Algorithm for Discovering Topologies in Social Networks.
Email Analytics for Support Center Performance Analysis.
Multiple Subscriber-Identity-Module Detection Using Social Network Analysis Techniques.
NaviSoc: A Socially Enhanced Real-Time Navigator.
A Business Intelligence Solution for Frequent Pattern Mining on Social Networks.
An Improved Collaborative Method for Recommendation and Rating Prediction.
Towards Achieving Diagnostic Consensus in Medical Image Interpretation.
Refining Adverse Drug Reactions Using Association Rule Mining for Electronic Healthcare Data.
Imputation of Missing Values in Time Series with Lagged Correlations.
GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing.
Rough-Set-Based ADR Signaling from Spontaneous Reporting Data with Missing Values.
Mining Top-K Frequent Closed Patterns from Gene Expression Data.
Drift Detection for Multi-label Data Streams Based on Label Grouping and Entropy.
Incremental Ensemble Classifier Addressing Non-stationary Fast Data Streams.
Merging Classifiers of Different Classification Approaches.
Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble.
Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines.
Adaptive Semi-Supervised Dimensionality Reduction.
Boosting for Vote Learning in High-Dimensional kNN Classification.
Dimensionality Reduction Based Similarity Visualization for Neural Gas.
High Dimensional Matrix Relevance Learning.
Two approaches of using heavy tails in high dimensional EDA.
Who Wrote This? Textual Modeling with Authorship Attribution in Big Data.
Out-of-Sample Error Estimation: The Blessing of High Dimensionality.
Random KNN.
SUBSCALE: Fast and Scalable Subspace Clustering for High Dimensional Data.
Exploiting Paper Contents and Citation Links to Identify and Characterise Specialisations.
Node-Specific Triad Pattern Mining for Complex-Network Analysis.
Expander Graph Quality Optimisation in Randomised Communication.
Community Detection on Large Graph Datasets for Recommender Systems.
Privacy-Preserving Queries over Outsourced Data with Access Pattern Protection.
Defensibility-Based Classification for Argument Mining.
R-HBase: A Multi-dimensional Indexing Framework for Cloud Computing Environment.
Identify Influential Social Network Spreaders.
Threatening Privacy across Social Graphs: A Structural Features Approach.
A Link Prediction Method That Can Learn from Network Dynamics.
Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment.
EgoLP: Fast and Distributed Community Detection in Billion-Node Social Networks.
Online Fusion of Incremental Learning for Wireless Sensor Networks.
Quick Mining of Isomorphic Exact Large Patterns from Large Graphs.
Introduction of Search Engine Focusing on Trend-Related Queries to Market of Data.
A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data.
Adaptability of Dynamic Quality Function Deployment to the Concept Design of Electric Trucks: An Attempt to Knowledge Management and Data Engineering.
Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks.
Domain-Independent Unsupervised Text Segmentation for Data Management.
Exploring Markets of Data for Personal Health Information.
Creating Essential Hypothesis and Rules in Product Planning - Introducing Abductive Inference Model.
A System Design Method Based on Interaction between Logic and Data Sets.
A Narrative Analysis by Text Mining Technique Using Key Graph: Similarity and Difference of a View of Oral Health and Oral Risk Cognition between Japanese Living People and Dentists.
Modeling of Writing and Thinking Process in Handwriting by Digital Pen Analysis.
Estimation of Novelty Assessment of Strategic Scenarios Using Relativeness.
Abduction Dealing with Potential Values and Its Datasets.
A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams.
Joint Propagation and Refinement for Mining Opinion Words and Targets.
Towards Summarizing Popular Information from Massive Tourism Blogs.
A Localization Toolkit for Sentic Net.
Semi-Supervised Method for Multi-category Emotion Recognition in Tweets.
Emotion Recognition from Text Based on Automatically Generated Rules.
Cyberbullying Detection using Time Series Modeling.
Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems.
Commonsense Knowledge as the Glue in a Hybrid Model of Computational Creativity.
A Hybrid Approach for Emotion Detection in Support of Affective Interaction.
An Incremental Tensor Factorization Approach for Web Service Recommendation.
Personalising Mobile Advertising Based on Users' Installed Apps.
Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases.
Configurable Analytics Framework for Management of Enterprise IT Systems.
Visual Exploration of a Series of Academic Conferences.
Examination of Reliability of Missing Value Recovery in Data Mining.
A Comparison of Algorithms for TV Ad Targeting.
Data Mining-Based Service Quality Estimation in Hospital Information System.
Visualization of Patient Distributions in a Hospital Based on the Clinical Actions Stored in EHR.
Understanding Changes in Customer Purchase Behavior: Study of Attenuation Model for Multiparametric Purchase Preferences.
Text Feature Selection Based on Class Subspace.
Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification.
Automatic Learning Common Definitional Patterns from Multi-domain Wikipedia Pages.
Discovering Organizational Correlations from Twitter.
Device Performance Analysis of Cloud Computing Data Center Two-Layer Interconnection Model Based on MPLS/IP Core Backbone Network.
Statistical and Machine Learning Approach to Assessing the Environmental Impact on Walking Patterns.
Mining Cursor Motions to Find the Gender, Experience, and Feelings of Computer Users.
Clustering Ensemble and Application in HST Dataset.
Popular Items or Niche Items: Flexible Recommendation Using Cosine Patterns.
A Standard Bibliography Recommended Method Based on Topic Model and Fusion of Multi-feature.
Moneyball for Academia: Toward Measuring and Maximizing Faculty Performance and Impact.
Applying Cost-Sensitive Classification for Financial Fraud Detection under High Class-Imbalance.
Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects.
NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems.
Analysis and Real-Time Prediction of Local Incident Impact on Transportation Networks.
A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors.
Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel.
Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei.
Text Mining for Hypotheses and Results in Translational Medicine Studies.
Incorporating Spontaneous Reporting System Data to Aid Causal Inference in Longitudinal Healthcare Data.
Evaluation of the Relevance of Linear and Nonlinear Posturographic Features in the Recognition of Healthy Subjects and Stroke Patients.
Latent Factor SVM for Text Categorization.
Active Learning with Nonparallel Support Vector Machine for Binary Classification.
Biased Support Vector Machine with Self-Constructed Universum for PU Learning.
Misclassification Minimization Based on Multiple Criteria Linear Programming.
An Optimal Approach for Pruning Annular Regularized Extreme Learning Machines.
Proximal Classifier via Absolute Value Inequalities.
Deep Twin Support Vector Machine.
A Hierarchy Method Based on LDA and SVM for News Classification.
Measuring and Predicting Systemic Risk in the Chinese Banking System.
Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs.
Context-Aware Online Spatiotemporal Traffic Prediction.
Directional Higher Order Information for Spatio-Temporal Trajectory Dataset.
Why Checkins: Exploring User Motivation on Location Based Social Networks.
Dynamic Time Warping Based on Cubic Spline Interpolation for Time Series Data Mining.
Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results.
Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data.
Spatio-Temporal Trajectory Region-of-Interest Mining Using Delaunay Triangulation.