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Data Mining Projects 2019-2020

         
     
         
     
         
     
         
     
         
     
         

 

SNO DATA MINING 2019-2020 PLATFORM

OK9DM01

A Cloud Brokerage Architecture for Efficient Cloud Service Selection

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OK9DM02

A Comparative Study of Ontology Matching Systems via Inferential Statistics

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OK9DM03

A Correlation-based Feature Weighting Filter for Navie Bayes

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OK9DM04

A Distributed Trust Evaluation Protocol with Privacy Protection for Intercloud

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OK9DM05

A General Theory of IR Evaluation Measures

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OK9DM06

A Hybrid Approach for Optimizing Carbon Footprint in Inter Cloud Environment

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OK9DM07

A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction

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OK9DM08

A New Robust Approach for Reversible Database Watermarking with Distortion Control

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OK9DM09

A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators

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OK9DM10

A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition

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OK9DM11

A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data

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OK9DM12

A Requirement-Driven Mechanism for the Management of Distributed Infrastructures

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OK9DM13

A Survey on Network Embedding

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OK9DM14

A Thorough Trust and Reputation Based RBAC Model for Secure Data Storage in the Cloud

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OK9DM15

A Unified Framework for Community Detection and Network Representation Learning

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OK9DM16

A Utility-Optimized Framework for Personalized Private Histogram Estimation

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OK9DM17

Adaptive Distributed RDF Graph Fragmentation and Allocation based on Query Workload

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OK9DM18

Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems

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OK9DM19

Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes

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OK9DM20

Adversarial Deep Learning Models with Multiple Adversaries

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OK9DM21

An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels

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OK9DM22

An Overflow Problem in Network Coding for Secure Cloud Storage

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OK9DM23

Automated Discovery of Process Models from Event Logs Review and Benchmark

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OK9DM24

Budget and Deadline Aware e-Science Workflow Scheduling in Clouds

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OK9DM25

C2Net A Network-Efficient Approach to Collision Counting LSH Similarity Join

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OK9DM26

CauseInfer Automated End-to-End Performance Diagnosis with Hierarchical Causality Graph in Cloud Environment

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OK9DM27

CFOND Consensus Factorization for Co-Clustering Networked Data

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OK9DM28

Chameleon A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field

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OK9DM29

Co-Clustering via Information-Theoretic Markov Aggregation

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OK9DM30

Collaborative Optimization of Service Composition for Data-Intensive Applications in a Hybrid Cloud

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OK9DM31

Collaboratively Tracking Interests for User Clustering in Streams of Short Texts

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OK9DM32

Comments Mining With TF-IDF The Inherent Bias and Its Removal

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OK9DM33

Community Detection in Multi-Layer Networks Using Joint Nonnegative Matrix Factorization

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OK9DM34

Correlated Matrix Factorization for Recommendation with Implicit Feedback

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OK9DM35

Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics

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OK9DM36

Cost-Efficient Consolidating Service for Aliyun’s Cloud-Scale Computing

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OK9DM37

CURE Flexible Categorical Data Representation by Hierarchical Coupling Learning

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OK9DM38

Deep Clue Visual Interpretation of Text-based Deep Stock Prediction

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OK9DM39

Detecting Pickpocket Suspects from Large-Scale Public Transit Records

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OK9DM40

Differentially Private Mixture of Generative Neural Networks

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OK9DM41

Disaggregated Cloud Memory with Elastic Block Management

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OK9DM42

DLTA A Framework for Dynamic Crowd sourcing Classification Tasks

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OK9DM43

Dynamic Auto selection and Autotuning of Machine Learning Models for Cloud Network Analytics

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OK9DM44

Efficient Mining of Frequent Patterns on Uncertain Graphs

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OK9DM45

Efficient Representative Subset Selection over Sliding Windows

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OK9DM46

Efficient Vertical Mining of High Average-Utility Item sets Based on Novel Upper-Bounds

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OK9DM47

Exploiting the Dynamic Mutual Influence for Prrdicting Social Event Participation

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OK9DM48

Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems

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OK9DM49

FROG A Fast and Reliable Crowd sourcing Framework

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OK9DM50

Generalized Gaussian Mechanism for Differential Privacy

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OK9DM51

Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters

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OK9DM52

Heterogeneous Information Network Embedding for Recommendation

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OK9DM53

Hierarchical Multi-Clue Modelling for POI Popularity Prediction with Heterogeneous Tourist Information

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OK9DM54

Hytrace A Hybrid Approach to Performance Bug Diagnosis in Production Cloud Infrastructures

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OK9DM55

IAD Interaction-Aware Diffusion Framework in Social Networks

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OK9DM56

Integrating Concurrency Control in n-Tier Application Scaling Management in the Cloud

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OK9DM57

Introducing Cuts into a Top-down Process for Checking Tree Inclusion

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OK9DM58

IO Efficient Core Graph Decomposition Application to Degeneracy Ordering

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OK9DM59

Latent Ability Model A Generative Probabilistic Learning Framework for Workforce Analytics

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OK9DM60

Learning Customer Behaviorsn for Effective Load Forecasting

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OK9DM61

Location Inference for Non-geotagged Tweets in User Timelines

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OK9DM62

Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks

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OK9DM63

Modeling the Parameter Interactions in Ranking SVM with Low-rank Approximation

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OK9DM64

Multi-Label Learning from Crowds

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OK9DM65

Multi-Objective Energy Efficient Virtual Machines Allocation at the Cloud Data Center

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OK9DM66

Near-accurate Multi set Reconciliation

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OK9DM67

Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data

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OK9DM68

Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction

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OK9DM69

Normalization of Duplicate Records from Multiple Sources

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OK9DM70

On Optimal Privacy Engineering for the Smart Micro-Grid

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OK9DM71

On Spatial-Aware Community Search

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OK9DM72

Optimistic Modeling and Simulation of Complex Hardware Platforms and Embedded Systems on Many-Core HPC Clusters

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OK9DM73

Pair-Linking for Collective Entity Disambiguation Two Could Be Better Than All

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OK9DM74

Parallel Trajectory-to-Location Join

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OK9DM75

Performance Analysis and Modeling of Video Transcoding Using Heterogeneous Cloud Services

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OK9DM76

Predicting Consumption Patterns with Repeated and Novel Events

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OK9DM77

Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation

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OK9DM78

Private Graph Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud

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OK9DM79

Profit Maximization for Admitting Requests with Network Function Services in Distributed Clouds

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OK9DM80

Profit Maximization for Cloud Brokers in Cloud Computing

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OK9DM81

Programming Situational Mobile Web Applications with Cloud-Mobile Convergence An Internetware-Oriented Approach

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OK9DM82

Progressive Approaches for Pareto Optimal Groups Computation

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OK9DM83

Real-Time Change Point Detection with application to Smart Home Time Series Data

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OK9DM84

Representing Urban Forms A Collective Learning Model with Hetrogeneous Human Mobility Data

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OK9DM85

Robust Image Hashing with Tensor  Decomposition

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OK9DM86

Scalable Interactive Dynamic Graph Clustering on Multicore CPUs

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OK9DM87

Schema-Agnostic Progressive Entity Resolution

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OK9DM88

SDCon Integrated Control Platform for Software-Defined Clouds

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OK9DM89

Secure and Efficient Skyline Queries on Encrypted Data

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OK9DM90

Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation

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OK9DM91

Storage Sharing Optimization Under Constraints of SLO Compliance and Performance Variability

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OK9DM92

Straggler Root-Cause and Impact Analysis for Massive-scale Virtualized Cloud Datacenters

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OK9DM93

Structure-Preserved Unsupervised Domain Adaptation

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OK9DM94

Super graph Search in Graph Databases via Hierarchical Feature-Tree

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OK9DM95

Towards Confidence Interval Estimation in Truth Discovery

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OK9DM96

Transactional Behavior Verification in Business Process as a Service Configuration

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OK9DM97

User Preference Analysis for Most Frequent Peer Dominator

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OK9DM98

Vertical and horizontal elasticity for dynamic virtual machine rconfiguration

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OK9DM99

Viral Cascade Probability Estimation and Maximization in Diffusion Networks

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OK9DM100

Webpage Depth Viewability Prediction Using Deep Sequential Neural Networks

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