7 Result(s)
within
Data Mining and Knowledge Discovery
Yong-Sheng **
Chapter
Conference Paper
-
Chapter and Conference Paper
Safe Storage Algorithm of Spreadsheet Data Based on Internet of Things Technology
The traditional data security storage algorithm of spreadsheet is mainly designed for single user scenario. When encountering the problem of multi-user, the traditional method will appear the problem of high d...
-
Chapter and Conference Paper
Data Security Transmission Algorithm of Remote Demonstration System Based on Internet of Things
Traditional remote demonstration data transmission methods neglect the evaluation of data trust, which l...
-
Chapter and Conference Paper
Modeling Passenger Flow Distribution Based on Disaggregate Model for Urban Rail Transit
It is widely recognized that one of the most effective ways to solve urban traffic problems is develo** public transport system, especially urban rail transit system. The estimation of passenger flow distrib...
-
Chapter and Conference Paper
An Immune Genetic Algorithm with Orthogonal Initialization for Analog Circuit Design
Evolutionary design of circuits (EDC) is an important branch of evolvable hardware (EHW). It is proved to be able to provide more optimized and diversified designs of circuit than human designs. An Orthogonal ...
-
Chapter and Conference Paper
Person Identification Using Electroencephalographic Signals Evoked by Visual Stimuli
In this work we utilize the inter-subject differences in the electroencephalographic (EEG) signals evoked by visual stimuli for person identification. The identification procedure is divided into classificatio...
-
Chapter and Conference Paper
Study on Membrane Protein Interaction Networks by Constructing Gene Regulatory Network Model
At present, about a quarter of all genes in most genomes contain transmembrane (TM) helices, and among the overall cellular interactome, helical membrane protein interaction is a major component. Interactions ...
-
Chapter and Conference Paper
Robust Unsupervised Lagrangian Support Vector Machines for Supply Chain Management
Support Vector Machines (SVMs) have been dominant learning techniques for more than ten years, and mostly applied to supervised learning problems. These years two-class unsupervised and semi-supervised classif...
