HADOOP-BIGDATA 2022-2023

S.NO

BIGDATA HADOOP 2022-2023

OK4BD01

A Survey on Heterogeneous Graph Embedding Methods, Techniques, Applications and Sources

OK4BD02

A survey on integrity auditing for data storage in the cloud from a single copy to multiple replicas

OK4BD03

Accelerating Vertical Federated Learning

OK4BD04

B4SDC A Blockchain System for Security Data Collection in MANETs

OK4BD05

BiLSTM-SSVM Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition

OK4BD06

CrowdExpress A Probabilistic Framework for On-Time Crowdsourced Package Deliveries

OK4BD07

d-Simplexed Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics

OK4BD08

Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data

OK4BD09

Exploring Multi-dimension User-Item Interactions with Attentional Knowledge Graph Neural Networks

OK4BD10

Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams

OK4BD11

FLAG Faster Learning on Anchor Graph with Label Predictor Optimization

OK4BD12

Forecasting People’s Needs in Hurricane Events from Social Network

OK4BD13

GGNN Graph-based GPU Nearest Neighbor

OK4BD14

Guest Editorial Special Issue on Social Media Computing

OK4BD15

Improving Chinese Word Representation Using Four Corners Features

OK4BD16

Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis

OK4BD17

IO Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership

OK4BD18

Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs

OK4BD19

Multi-Label Graph Convolutional Network Representation Learning

OK4BD20

Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning

OK4BD21

Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data

OK4BD22

Network Embedding via Deep Prediction Model

OK4BD23

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

OK4BD24

PES Priority Edge Sampling in Streaming Triangle Estimation

OK4BD25

Practical Vertical Federated Learning with Unsupervised Representation Learning

OK4BD26

Privacy-Preserving Aggregation in Federated Learning A Survey

OK4BD27

Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability

OK4BD28

RPT Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training

OK4BD29

Scalable Distributed Data Anonymization for Large Datasets

OK4BD30

Shadow Exploiting the Power of Choice for Efficient Shuffling in MapReduce

OK4BD31

Stark Fast and Scalable Strassen’s Matrix Multiplication using Apache Spark

OK4BD32

State-Aware Load Shedding from Input Event Streams in Complex Event Processing

OK4BD33

SZ3 A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors

OK4BD34

Towards Efficient Synchronous Federated Training A Survey on System Optimization Strategies

OK4BD35

Towards Ubiquitous Intelligent Computing Heterogeneous Distributed Deep Neural Networks

OK4BD36

TUSQ Targeted High-Utility Sequence Querying

OK4BD37

Urban Anomaly Analytics Description, Detection, and Prediction

OK4BD38

Visual Analytics of Anomalous User Behaviors A Survey