1.
Real-time algorithm for the detection and classification of the exceptions in the home security surveillance
家庭安全监控的实时异常检测与分类算法
2.
Research and Application on Method of Clustering Analysis in Abnormal Intrusion Detection;
异常入侵检测的聚类分析方法研究与应用
3.
Abnormal analysis of signal on the NO.7 processing system
异常呼叫检测分析系统的开发与应用
4.
Research of Classification Models for Anomaly Detection Based on Automatic Feature Construction;
特征自动构建的异常检测分类模型研究
5.
Research on Classification Models for Anomaly Detection Based on Network Connection Records;
基于网络连接记录的异常检测分类模型研究
6.
Anomaly detection based on feature selection and multi-class support vector machines
基于特征选择和多分类支持向量机的异常检测
7.
Novelty detection is a special classification of SVM, called as one-class classification.
异常值检测是支持向量机中一种特殊的分类问题,被称为一类分类。
8.
Clustering, Similarity Search and Outlier Detection in Multivariate Time Series
多变量时间序列的聚类、相似查询与异常检测
9.
Research on Nominal Data Clustering/Classification Algorithms with Their Applications in Anomaly Detection
语义属性数据聚类/分类算法及其在异常检测中的应用研究
10.
Application on Classifier Based on PCA Neural Networks for Anomaly Detection
一类基于PCA神经网络的分类器在异常检测中应用
11.
Abnormal Sample Detection & Improvement in Online Near-infrared Spectroscopy Analyzer;
NIR光谱在线分析中的异常检测与系统改进
12.
Application of DBSCAN Cluster Algorithm in Anormaly Detection;
DBSCAN聚类算法在异常检测中的应用
13.
Anomaly detection based on the multi-phase clustering and naive bayes
多阶段聚类—朴素贝叶斯的异常检测
14.
Research on the Data Gravitation Based Classification Method and Network Anormaly Detection Model;
基于数据引力的分类方法及网络异常检测模型的研究
15.
Quality variation detection and classification in multivariate process based on neural network and fuzzy set technology;
基于神经网络—模糊集的多元过程质量异常检测及分类
16.
A new method for Intrusion Detection based on clustering and sequential exception technique;
基于聚类算法与序列异常技术的入侵检测新方法
17.
Adaptive anomaly detection model based on normal-profile clustering
一种基于正常简档聚类的自适应异常检测模型
18.
Design and Implementation of Anomaly-based Network Intrusion Detection System;
基于异常检测的入侵检测系统设计与实现