SNO OK3DM01 OK3DM02 OK3DM03 OK3DM04 OK3DM05 OK3DM06 OK3DM07
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OK3DM17
DATA MINING 2021-2022 A Comparative Study for Unsupervised Network Representation Learning A Data-driven Sequential Localization Framework for Big Telco Data A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution A Factorization Approach for Survival Analysis on Diffusion Networks A Generic Ontology Framework for Indexing Keyword Search on Massive Graphs A New Pattern Representation Method for Time-series Data A Novel Privacy Preserving Framework for Large Scale Graph Data Publishing A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification A Reliable Storage Partition for Permissioned Blockchain A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search A Survey on Data Collection for Machine Learning Abstractive Multi-Document Summarization based on Semantic Link Network ActiveIter Meta Diagram based Active Learning in Social Networks Alignment Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification Adaptive Diffusion Of Sensitive Information In Online Social Networks An Adaptive Robust Semi-supervised Clustering Framework Using Weighted Consensus of Random kMeans Ensemble
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OK3DM18 OK3DM19 OK3DM20 OK3DM21 OK3DM22 OK3DM23 OK3DM24
An Embedding-based Approach to Rule Learning in Knowledge Graphs An improved quantum algorithm for ridge regression Answering Skyline Queries over Incomplete Data with Crowdsourcing Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures BS-SC An Unsupervised Approach for Detecting Shilling Profiles in Collaborative Recommender Systems Clustering with local density peaks-based minimum spanning tree
OK3DM27
Clustering with Outlier Removal Co-attention Memory Network for Multimodal Microblog’s Hashtag Recommendation Co-Clustering Ensembles based on Multiple Relevance Measures Column-wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization
OK3DM28
Component-based Feature Saliency for Clustering
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Compressed Indexes for Fast Search of Semantic Data
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Constrained Private Mechanisms for Count Data
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Content to Node Self-Translation Network Embedding CorrectMR Authentication of Distributed SQL Execution on MapReduce Coupled Graph and Tensor Factorization for Recommender Systems and Community Detection CRISP-DM Twenty Years Later From Data Mining Processes to Data Science Trajectories Data-Driven Link Screening for Increasing Network Predictability Decision Tree Learning for Uncertain Clinical Measurements
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Declarative Data Analytics a Survey
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Deep Air Quality Forecasting Using Hybrid Deep Learning Framework Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks Deep Multi-view Learning to Rank Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System Destination Prediction A Deep Learning based Approach Detecting Disjoint Communities in a Social Network based on the Degrees of Association between Edges and Influential Nodes Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach Discovering Hidden Topical Hubs and Authorities Discovering Relaxed Functional Dependencies based on Multi-attribute Dominance Discrete Matrix Factorization and Extension for Fast Item Recommendation Document Vector Extension for Documents Classification Duration modeling with semi-Markov Conditional Random Fields for keyphrase extraction Efficient Computation and Visualization of Multiple Density-Based Clustering Hierarchies Efficient Distributed k-clique Mining for Large Networks Using MapReduce Efficient Similarity Search for Sets over Graphs Efficient Utilization of Missing Data in Cost-Sensitive Learning Efficiently Processing Spatial and Keyword Queries in Indoor Venues EKT Exercise-aware Knowledge Tracing for Student Performance Prediction
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Enhanced Privacy Preserving Group Nearest Neighbor Search Enhancing Recommender Systems with a Stimulusevoked Curiosity Mechanism ERATO Trading Noisy Aggregate Statistics over Private Correlated Data Event Detection on Microposts a Comparison of Four Approaches Event-Participant and Incremental Planning over EventBased Social Networks
OK3DM73
Evolutionary Clustering via Message Passing Fast Algorithms for Semantic Association Search and Pattern Mining Fast Semi-Supervised Learning with Optimal Bipartite Graph Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size Flexible Auto-weighted Local-coordinate Concept Factorization A Robust Framework for Unsupervised Clustering Forecasting Gathering Events through Trajectory Destination Prediction a Dynamic Hybrid Model Generating Actionable Interpretations from Ensembles of Decision Trees GLAD A Grid and Labeling Framework with Scheduling for Conflict-Aware kNN Queries Graph Adversarial Training Dynamically Regularizing Based on Graph Structure GraphInception Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks HGraph IO-efficient Distributed and Iterative Graph Computing by Hybrid PushingPulling Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
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HM-Modularity A Harmonic Motif Modularity Approach
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for Multi-layer Network Community Detection Identify Significant Phenomenon-specific Variables for Multivariate Time Series Impact-Based Ranking of Scientific Publications A Survey and Experimental Evaluation Improving Data Analytics with Fast and Adaptive Regularization Improving the Quality of Web-based Data Imputation with Crowd Intervention Imputation-based Ensemble Techniques for Class Imbalance Learning Incorporating Distribution Matching into Uncertainty for Multiple Kernel Active Learning Incremental Factorization of Big Time Series Data with Blind Factor Approximation Incremental Graph Pattern based Node Matching with Multiple Updates Integrity Authentication for SQL Query Evaluation on Outsourced Databases A Survey Intervening coupling diffusion of competitive information in online social networks Joint Inference for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints Knowledge Base Reasoning with Convolutional-based Recurrent Neural Networks Knowledge Graph Embedding based on Multi-View Clustering Framework Label Distribution Learning with Label Correlations on Local Samples
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Label Enhancement for Label Distribution Learning
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Label Propagation on K-partite Graphs with Heterophily Land Use Classification with Point of Interests and Structural Patterns Large-scale Cost-aware Classification Using Feature Computational Dependency Graph Large-scale Nodes Classification with Deep Aggregation Network
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Learning ADL Daily Routines with Spatiotemporal Neural Networks Learning Graph Representation with Generative Adversarial Nets Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization Imputing Missing Values and Forecasting Learning Structural Node Representations using Graph Kernels Learning to Recommend with Multiple Cascading Behaviors
OK3DM100 Learning to Rerank Schema Matches Leveraging Implicit Relative Labeling-Importance OK3DM101 Information for Effective Multi-Label Learning Lightweight Label Propagation for Large-Scale Network OK3DM102 Data Link Prediction Under Imperfect Detection Collaborative OK3DM103 Filtering for Ecological Networks OK3DM104 Making Compiling Query Engines Practical OK3DM105 Making Online Sketching Hashing Even Faster OK3DM106 Matrix Factorization with Interval-Valued Data Matrix Profile IX Admissible Time Series Motif Discovery OK3DM107 with Missing Data OK3DM108 Metagraph-based Learning on Heterogeneous Graphs Mining Fraudsters and Fraudulent Strategies in LargeOK3DM109 Scale Mobile Social Networks Mining Spatio-temporal Reachable Regions With OK3DM110 Multiple Sources over Massive Trajectory Data MixSp A Framework for Embedding Heterogeneous Information Networks with Arbitrary Number of Node OK3DM111 and Edge Types Mixture Matrix Approximation for Collaborative OK3DM112 Filtering
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Modeling Influence Diffusion over Signed Social OK3DM113 Networks Modeling Submarket Effect for Real Estate Hedonic OK3DM114 Valuation A Probabilistic Approach MSQ-Index A Succinct Index for Fast Graph Similarity OK3DM115 Search OK3DM116 MTBR Multi-Target Boosting for Regression Multi-Label Truth Inference for Crowdsourcing Using OK3DM117 Mixture Models Multi-level Attention Networks for Multi-step Citywide OK3DM118 Passenger Demands Prediction OK3DM119 Multiple Instance Learning with Emerging Novel Class Multiscale Local Community Detection in Social OK3DM120 Networks Multi-site User Behavior Modeling and Its Application in OK3DM121 Video Recommendation Multi-task Image Clustering through Correlation OK3DM122 Propagation NEIST a Neural-Enhanced Index for Spatio-Temporal OK3DM123 Queries Network Intervention for Mental Disorders with OK3DM124 Minimum Small Dense Subgroups Neural Attention Frameworks for Explainable OK3DM125 Recommendation OK3DM126 Neural Named Entity Boundary Detection Node Embedding with Adaptive Similarities for Scalable OK3DM127 Learning over Graphs Nonparametric Regression via Variance-Adjusted OK3DM128 Gradient Boosting Gaussian Process Regression On both Cold-Start and Long-Tail Recommendation with OK3DM129 Social Data On the Efficient Representation of Datasets as Graphs to OK3DM130 Mine Maximal Frequent Itemsets Online Adaptive Asymmetric Active Learning with OK3DM131 Limited Budgets OK3DM132 Optimizing Multi-Query Evaluation in Federated RDF
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Systems POLAR++ Active One-shot Personalized Article Recommendation Popularity Prediction for Single Tweet based on Heterogeneous Bass Model Position-Aware Deep Character-Level CTR Prediction for Sponsored Search Privacy Preserving Location Data Publishing A Machine Learning Approach
OK3DM137 Privacy-preserving Stochastic Gradual Learning OK3DM138 Product Quantized Collaborative Filtering Protecting Spatiotemporal Event Privacy in Continuous OK3DM139 Location-Based Services Quality-Assured Synchronized Task Assignment in OK3DM140 Crowdsourcing Query Expansion with Local Conceptual Word OK3DM141 Embeddings in Microblog Retrieval Ranking Users in Social Networks with Motif-based PageRank OK3DM142 Robust Detection of Link Communities with Summary OK3DM143 Description in Social Networks Robust Neural Relation Extraction via Multi-Granularity OK3DM144 Noises Reduction Route Recommendations for Intelligent Transportation OK3DM145 Services Sampler Design for Bayesian Personalized Ranking by OK3DM146 Leveraging View Data Sem2Vec Semantic Word Vectors with Bidirectional OK3DM147 Constraint Propagations Semantics-Aware Hidden Markov Model for Human OK3DM148 Mobility Semi-Supervised Graph Based Embedding With NonOK3DM149 Convex Sparse Coding Techniques Semi-Supervised Multi-Modal Clustering and OK3DM150 Classification with Incomplete Modalities
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Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport Shifu2 A Network Representation Learning Based Model for Advisor-advisee Relationship Mining Signed Clique Search in Signed Networks Concepts and Algorithms Signed-PageRank An Efficient Influence Maximization Framework for Signed Social Networks Simultaneous Clustering and Optimization for Evolving Datasets SlimML Removing Non-critical Input Data in Large-scale Iterative Machine Learning Social Recommendation with Learning Personal and Social Latent Factors
OK3DM158 Social-Enhanced Attentive Group Recommendation Spatio-temporal Multi-task Learning via Tensor OK3DM159 Decomposition Spatiotemporal Representation Learning for Driving Behavior Analysis A Joint Perspective of Peer and OK3DM160 Temporal Dependencies Stability Analysis of Denoising Autoencoders Based on OK3DM161 Dynamical Projection System Statistically robust evaluation of stream-based OK3DM162 recommender systems Structured Graph Optimization for Unsupervised Feature OK3DM163 Selection OK3DM164 Structured Graph Reconstruction for Scalable Clustering Subgraph Networks with Application to Structural OK3DM165 Feature Space Expansion OK3DM166 Succinct Representation of Dynamic Networks OK3DM167 Sys-TM A Fast and General Topic Modeling System Tackling Overfitting in Boosting for Noisy Healthcare OK3DM168 Data Target Defense Against Link-Prediction-Based Attacks OK3DM169 via Evolutionary Perturbations
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Tensor Multi-Elastic Kernel Self-Paced Learning for Time OK3DM170 Series Clustering The Framework of Personalized Ranking on Poisson OK3DM171 Factorization OK3DM172 The Impact of Task Abandonment in Crowdsourcing TIDY Publishing a Time Interval Dataset with Differential OK3DM173 Privacy TIPS Mining Top-K Locations to Minimize UserOK3DM174 Inconvenience for Trajectory-Aware Services OK3DM175 Transformed Subspace Clustering OK3DM176 Truth Discovery by Claim and Source Embedding Two-sided Online Micro-Task Assignment in Spatial OK3DM177 Crowdsourcing Understanding and Optimizing Conjunctive Predicates OK3DM178 under Memory-efficient Storage Layouts Unsupervised Linear Discriminant Analysis for Jointly OK3DM179 Clustering and Subspace Learning OK3DM180 Unsupervised Statistical Text Simplification
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