Ning Zhang

Frequent Itemset Mining Algorithm based on Sampling Method

2016 · Advances in computer science research

Frequent itemset mining is an important technique in data mining. This paper employ the sampling method to improve the performance. An in-memory index is presented to store the data information, which is maintained by our …

A Heuristic Rule Based Approximate Frequent Itemset Mining Algorithm

2016 · Procedia Computer Science

In this paper, we focus on the problem of mining the approximate frequent itemsets. To improve the performance, we employ a sampling method, in which a heuristic rule is used to dynamically determine the sampling …

Bounding Data-driven Model Errors in Power Grid Analysis.

2019 · arXiv (Cornell University)

Data-driven models analyze power grids under incomplete physical information, and their accuracy has been mostly validated empirically using certain training and testing datasets. This paper explores error bounds for data-driven models under all possible training …

Sensing Your Touch: Strengthen User Authentication via Touch Dynamic Biometrics

2019

Mobile devices are increasingly used to store private and sensitive data, and this has led to an increased demand for more secure and usable authentication services. Currently, mobile device authentication services mainly use a knowledge-based …

Development of Integrated Geotechnical Safety Monitoring System

2019 · 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)

This paper proposes a geological disaster monitoring system based on data fusion algorithm. In a monitoring system consisting of multiple sensors, the target is monitored at the same sampling rate at the same time, and …

Visual Attention Model for Name Tagging in Multimodal Social Media

2018

Everyday billions of multimodal posts containing both images and text are shared in social media sites such as Snapchat, Twitter or Instagram. This combination of image and text in a single message allows for more …