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DATA MINING 2019-2020
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A Cloud Brokerage Architecture for Efficient Cloud Service Selection A Comparative Study of Ontology Matching Systems via Inferential Statistics A Correlation-based Feature Weighting Filter for Navie Bayes A Distributed Trust Evaluation Protocol with Privacy Protection for Intercloud A General Theory of IR Evaluation Measures
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A Hybrid Approach for Optimizing Carbon Footprint in Inter Cloud Environment A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction A New Robust Approach for Reversible Database Watermarking with Distortion Control A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data A Requirement-Driven Mechanism for the Management of Distributed Infrastructures A Survey on Network Embedding
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A Thorough Trust and Reputation Based RBAC Model for Secure Data Storage in the Cloud A Unified Framework for Community Detection and Network Representation Learning A Utility-Optimized Framework for Personalized Private Histogram Estimation
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Adaptive Distributed RDF Graph Fragmentation and Allocation based on Query Workload Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes Adversarial Deep Learning Models with Multiple Adversaries An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels An Overflow Problem in Network Coding for Secure Cloud Storage Automated Discovery of Process Models from Event Logs Review and Benchmark Budget and Deadline Aware e-Science Workflow Scheduling in Clouds C2Net A Network-Efficient Approach to Collision Counting LSH Similarity Join CauseInfer Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment CFOND Consensus Factorization for CoClustering Networked Data Chameleon A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field Co-Clustering via Information-Theoretic Markov Aggregation Collaborative Optimization of Service Composition for Data-Intensive Applications in a Hybrid Cloud Collaboratively Tracking Interests for User Clustering in Streams of Short Texts Comments Mining With TF-IDF The Inherent
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Bias and Its Removal Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization Correlated Matrix Factorization for Recommendation with Implicit Feedback Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics Cost-Efficient Consolidating Service for Aliyun’s Cloud-Scale Computing CURE Flexible Categorical Data Representation by Hierarchical Coupling Learning Deep Clue Visual Interpretation of Text-based Deep Stock Prediction Detecting Pickpocket Suspects from Large-Scale Public Transit Records Differentially Private Mixture of Generative Neural Networks Disaggregated Cloud Memory with Elastic Block Management DLTA A Framework for Dynamic Crowd sourcing Classification Tasks Dynamic Auto selection and Autotuning of Machine Learning Models for Cloud Network Analytics Efficient Mining of Frequent Patterns on Uncertain Graphs Efficient Representative Subset Selection over Sliding Windows Efficient Vertical Mining of High Average-Utility Item sets Based on Novel Upper-Bounds Exploiting the Dynamic Mutual Influence for Prrdicting Social Event Participation Fast Failure Recovery in Vertex-Centric
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Distributed Graph Processing Systems FROG A Fast and Reliable Crowd sourcing Framework Generalized Gaussian Mechanism for Differential Privacy Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters Heterogeneous Information Network Embedding for Recommendation Hierarchical Multi-Clue Modelling for POI Popularity Prediction with Heterogeneous Tourist Information Hytrace A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures IAD Interaction-Aware Diffusion Framework in Social Networks Integrating Concurrency Control in n-Tier Application Scaling Management in the Cloud Introducing Cuts into a Top-down Process for Checking Tree Inclusion IO Efficient Core Graph Decomposition Application to Degeneracy Ordering Latent Ability Model A Generative Probabilistic Learning Framework for Workforce Analytics Learning Customer Behaviorsn for Effective Load Forecasting Location Inference for Non-geotagged Tweets in User Timelines Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks Modeling the Parameter Interactions in Ranking SVM with Low-rank Approximation Multi-Label Learning from Crowds
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Multi-Objective Energy Efficient Virtual Machines Allocation at the Cloud Data Center Near-accurate Multi set Reconciliation
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Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data
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Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction Normalization of Duplicate Records from Multiple Sources On Optimal Privacy Engineering for the Smart Micro-Grid On Spatial-Aware Community Search Optimistic Modeling and Simulation of Complex Hardware Platforms and Embedded Systems on Many-Core HPC Clusters Pair-Linking for Collective Entity Disambiguation Two Could Be Better Than All Parallel Trajectory-to-Location Join
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Performance Analysis and Modeling of Video Transcoding Using Heterogeneous Cloud Services Predicting Consumption Patterns with Repeated and Novel Events Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation Private Graph Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud Profit Maximization for Admitting Requests with Network Function Services in Distributed Clouds Profit Maximization for Cloud Brokers in Cloud
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Computing Programming Situational Mobile Web Applications with Cloud-Mobile Convergence An Internetware-Oriented Approach Progressive Approaches for Pareto Optimal Groups Computation Real-Time Change Point Detection with application to Smart Home Time Series Data Representing Urban Forms A Collective Learning Model with Hetrogeneous Human Mobility Data Robust Image Hashing with Tensor Decomposition Scalable Interactive Dynamic Graph Clustering on Multicore CPUs Schema-Agnostic Progressive Entity Resolution SDCon Integrated Control Platform for SoftwareDefined Clouds Secure and Efficient Skyline Queries on Encrypted Data Stacked Robust Adaptively Regularized AutoRegressions for Domain Adaptation Storage Sharing Optimization Under Constraints of SLO Compliance and Performance Variability Straggler Root-Cause and Impact Analysis for Massive-scale Virtualized Cloud Datacenters Structure-Preserved Unsupervised Domain Adaptation Super graph Search in Graph Databases via Hierarchical Feature-Tree Towards Confidence Interval Estimation in Truth Discovery Transactional Behavior Verification in Business Process as a Service Configuration
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User Preference Analysis for Most Frequent Peer Dominator OK9DM98 Vertical and horizontal elasticity for dynamic virtual machine rconfiguration OK9DM99 Viral Cascade Probability Estimation and Maximization in Diffusion Networks OK9DM100 Webpage Depth Viewability Prediction Using Deep Sequential Neural Networks
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