icdm 2019 论文列表
2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019.
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Bilingual Speech Recognition based on Deep Neural Networks and Directed Acyclic Word Graphs.
Computational Analysis of French Reborrowing Process for English Loanwords.
Native Language Identification for Russian.
Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech.
An Augmented Transformer Architecture for Natural Language Generation Tasks.
Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification.
PATHFINDER: Graph-Based Itemset Embedding for Learning Course Recommendation and Beyond.
An Automatic Illustration Recommendation System.
ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks.
A Pattern-Based Mining System for Exploring Displacement Field Time Series.
LeapDetect: An Agile Platform for Inspecting Power Transmission Lines from Drones.
SNSaPP: Unbiased Social Media Analysis Against Paid Posters.
Oasis: Online Analytic System for Incivility Detection and Sentiment Classification.
Automated Feature Enhancement for Predictive Modeling using External Knowledge.
RSM: An Explainable Predictive Sales Route Selector.
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization.
Loyal Consumers or One-Time Deal Hunters: Repeat Buyer Prediction for E-Commerce.
On Fairness-Aware Learning for Non-discriminative Decision-Making.
Learning Joint Embedding for Cross-Modal Retrieval.
Action-Triggering Recommenders: Uplift Optimization and Persuasive Explanation.
Risk Factors Identification for Heart Disease in Unstructured Dataset using Deep Learning Approach.
Enhancing Clinical Name Entity Recognition Based on Hybrid Deep Learning Scheme.
Anomaly Detection in Time Series using Generative Adversarial Networks.
Field-Aware Knowledge Tracing Machine by Modelling Students' Dynamic Learning Procedure and Item Difficulty.
Who is Who: Name Disambiguation in Large-Scale Scientific Literature.
Planting Synchronisation Trees for Discovering Interaction Patterns Among Brain Regions.
Approximate Approach to Finding Generic Utility of Sequential Patterns.
Discovering Periodic Patterns in Irregular Time Series.
An Efficient Chain Structure to Mine High-Utility Sequential Patterns.
An Efficient Algorithm for Mining High Utility Quantitative Itemsets.
An Utility-Based Storage Assignment Strategy for e-Commerce Warehouse Management.
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases.
Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights.
Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation.
Topic Judgment Helps Question Similarity Prediction in Medical FAQ Dialogue Systems.
SeAlM: A Query Cache Optimization Technique for Next Generation Sequence Alignment.
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks.
Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter.
Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data.
Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows.
Effect of Missing Data Imputation on Prediction of Urinary Incontinence.
Feature-Matching Speech Denoising GANs via Progressive Training.
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.
Video Saliency Detection with Gated CNN and Residual Architecture.
Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation.
Image Generation Framework for Unbalanced License Plate Data Set.
Application of Adversarial Examples in Communication Modulation Classification.
Deep Minimax Probability Machine.
A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation.
Audio-Based Group Detection for Classroom Dynamics Analysis.
Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis.
Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare.
Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes.
Multi-scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation.
Data Mining in Railway Defect Image Based on Object Detection Technology.
Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials.
A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization.
Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection.
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
Automated Machine Learning Techniques in Prognostics of Railway Track Defects.
Scoring Message Stream Anomalies in Railway Communication Systems.
Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks.
User and Topic Hybrid Context Embedding for Finance-Related Text Data Mining.
Age Label Distribution Estimation Algorithm Based on Kernel Extreme Learning Machine.
IIRank: A Novel Algorithm for Identifying Influencers in Micro-Blog Social Networks.
Network2Vec: Learning Node Representation Based on Space Mapping in Networks.
Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants.
Mean-Removed Product Quantization for Approximate Nearest Neighbor Search.
Prediction Approach for Ising Model Estimation.
Underdetermined Blind Source Separation for Hard Clipped Stereophonic Mixtures.
Improved Multi-view Multi-label Learning with Incomplete Views and Labels.
Efficient Attribute Reduction with Submodular Function Optimization.
Attribute Reduction Based on Multi-objective Decomposition-Ensemble Optimizer with Rough Set and Entropy.
Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks.
Few-Shot Learning Based on Attention Relation Compare Network.
Capped l2, 1-Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning.
Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks.
Prototype Propagation Clustering Based on Large Margin.
Cross-Domain Deep Collaborative Filtering for Recommendation.
A New Classification Method of Signature Network Node Based on Potential Space Projection.
Mining Logic Patterns from Visual Data.
Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection.
ST-Attn: Spatial-Temporal Attention Mechanism for Multi-step Citywide Crowd Flow Prediction.
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights Into Global Migration Flows.
Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors.
Combining Micro and Macro Features for Online Pattern-of-Life Movement Prediction.
A Deep Learning Approach to Predict Parking Occupancy using Cluster Augmented Learning Method.
Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition.
Management and Analytics of Big Data Sources in Intelligent Smart Environments: Where We Are and Where We Are Going.
Rumor Stance Classification via Machine Learning with Text, User and Propagation Features.
MC-BERT4HATE: Hate Speech Detection using Multi-channel BERT for Different Languages and Translations.
An Attention Ensemble Based Approach for Multilabel Profanity Detection.
Citation Recommendation with a Content-Sensitive DeepWalk Based Approach.
Understanding the Role of Social Media in Backpacker Tourism.
Random Features and Random Neurons for Brain-Inspired Big Data Analytics.
Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal.
A Community-Enhanced Retrieval Model for Text-Rich Heterogeneous Information Networks.
Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks.
Method for Calculating Geographic Entity Relevance Based on Spatial and Semantic Association.
A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network.
Bi-gradient Verification for Grad-CAM Towards Accurate Visual Explanation for Remote Sensing Images.
Clan-Based Cultural Algorithm for Feature Selection.
Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes.
A High Performance Text Vector Similarity Search Method Based on Overlapping Degree.
Behavioral Facilitation Tweets with Basis Extraction.
Learning Theory and Algorithms for Revenue Maximization in Sponsored Search.
Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies.
Comparative Study on Trajectory Outlier Detection Algorithms.
Imputation Methods Outperform Missing-Indicator for Data Missing Completely at Random.
Mímir: Building and Deploying an ML Framework for Industrial IoT.
Difference between Similars: A Novel Method to Use Topic Models for Sensor Data Analysis.
Optimization Strategies in Quantized Neural Networks: A Review.
Discovering Sparse and Ununiform Lag Structure Using VAR Models with Latent Group LASSO.
Deep Learning Based Dynamic Pricing Model for Hotel Revenue Management.
Heterogenous Information Network Embedding Based Cross-Domain Recommendation System.
Utility Evaluation Measures for Categorical Data by Classification Performance.
Customer-Base Sequential Data Analysis: An Application of Attentive Neural Networks to Sales Forecasting.
Application of Deep Learning to Pre-processing of Cousumer's Eye Tracking Data in Supermarket.
Clinical Pathway Generation from Order Histories and Discharge Summaries.
Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling.
Genetic Algorithm Based Optimization of Deep Neural Network Ensemble for Personal Identification in Pedestrians Behaviors.
Exercise Difficulty Prediction in Online Education Systems.
Evaluating Carbon Extremes in a Coupled Climate-Carbon Cycle Simulation.
Climate Data Analytics Applied to Sugar Cane Crop in the French West Indies.
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars.
Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction.
An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science.
Deep Transfer Learning With Field-Based Measurements for Large Area Classification.
Climate Change Perception in Scientific and Public Sphere.
Cryptocurrency Pump and Dump Schemes: Quantification and Detection.
Topological Data Analysis for Portfolio Management of Cryptocurrencies.
Deep Learning Ethereum Token Price Prediction with Network Motif Analysis.
Time Series Methodology in STORJ Token Prediction.
Forecasting Ethereum STORJ Token Prices: Comparative Analyses of Applied Bitcoin Models.
Traffic Flow Prediction Based on Deep Neural Networks.
Estimation of Economic Indicators using Residual Neural Network ResNet50.
Nearest-Neighbor Neural Networks for Geostatistics.
signADAM++: Learning Confidences for Deep Neural Networks.
Deep Learning Prediction of Incoming Rainfalls: An Operational Service for the City of Beijing China.
Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD.
A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images.
A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems.
Spatiotemporal Attention Networks for Wind Power Forecasting.
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection.
Spatial Interpolation with Message Passing Framework.
Emotion Classification Based on Audiovisual Information Fusion Using Deep Learning.
A Markov Network Model for Natural Language Semantic Matching.
Predicting Travel Time of Bus Journeys with Alternative Bus Services.
Recent Advancements in Autonomous Intelligent Control Techniques: Design and Implementation.
A Decision Support Framework for AutoML Systems: A Meta-Learning Approach.
Aerial Robots On the Way to Underground: An Experimental Evaluation of VINS-Mono on Visual-Inertial Odometry Camera.
Autonomous Deep Learning: Incremental Learning of Deep Neural Networks for Evolving Data Streams.
Deep Network Optimization for rs-fMRI Classification.
Point of Interest Recommendation by Exploiting Geographical Weighted Center and Categorical Preference.
Content-Based Network Influence Probabilities: Extraction and Application.
Inferred Social Networks: A Case Study.
Predictive Models for Early Detection of Hoax Spread in Twitter.
Efficient Adoption Maximization in Multi-layer Social Networks.
An Online Retrieval Question Answering System for Featured Snippets Triggering.
Social Data Platform, D-Ocean.
A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption.
Stock Price Analysis Using Combination of Analyst Reports and Several Documents.
Extraction of Volitional Utterances from Japanese Local Political Corpus.
Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models.
Tracking Topics of Influential Tweets on Fukushima Disaster Over Long Periods of Time.
How Will Sense of Values Change during Art Appreciation?
Standardization for Innovation with Data Exchange.
