Titlebook: Big Data Technologies and Applications; 10th EAI Internation Zeng Deze,Huan Huang,Naveen Chilamkurti Conference proceedings 2021 ICST Insti

SEED

Research on User Privacy Security of China’s Top Ten Online Game Platformsthe protection of users’ private information through improving information security protection system of online game platforms, adding the option for access denial of privacy information in the process of user registration, and mandatorily prolonging the time assigned for users to read the privacy agreements.

Antigen

Constructing Knowledge Graph for Prognostics and Health Management of On-board Train Control System ty and cost efficiency from a full life cycle perspective, the establishment of a Condition-based Maintenance (CBM) scheme will be beneficial to both the currently in use and next generation train control systems. Due to the complexity of the fault mechanism of on-board train control system, a data-

IRATE

Early Detecting the At-risk Students in Online Courses Based on Their Behavior Sequencesf learning results, to identify students at risk in time and accurately. We select nine online learning behaviors from one course in Moodle, take one week as the basic unit and 5 weeks as the time node of learning behavior, and the aggregate data and sequence data of the first 5 weeks, the first 10 

Ornament

无瑕疵

frozen-shoulder

Germinate

Recess

Introducing and Benchmarking a One-Shot Learning Gesture Recognition Dataseters wearing electronic devices. However, the collected datasets are built in an old fashioned way, mostly comprised of subjects that perform many times few different gestures/activities. This paper addresses the lack of a wearable gesture recognition dataset for exploring one-shot learning technique

共栖

NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systemsrange of datasets are publicly available and have been used for the development and evaluation of a large number of ML-based NIDS in the research community. However, since these NIDS datasets have very different feature sets, it is currently very difficult to reliably compare ML models across differ

exquisite