搜索资源列表
NSA
- 这个是人工免疫系统中的反向选择算法(Negative Selection Aglorithm)的编程实例,它主要用于异常检测方面。请多指教！-this artificial immune system is the inverse algorithm (A Negative Selection glorithm) programming examples, it was mainly used anomaly detection area. Please advise!
qpso
- 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。- In order to improve the detection rate for anomaly state and reduce the false positive rate for n
tect
- 时空一体化框架下时空异常探测.Integration of spatial and temporal framework of space-time anomaly detection-Integration of spatial and temporal framework of space-time anomaly detection.
xy7z.ZIP
- 一种基于聚类的异常检测方法A method of anomaly detection based on Clustering-A method of anomaly detection based on Clustering
SIDSfazhaani
- 自1980年产生IDS概念以来，已经出现了基于主机和基于网络的入侵检测系统，出现了基于知识的模型识别、、异常识别和协议分析等入侵检测技术，并能够对百兆、千兆甚至更高流量的网络系统执行入侵检测。 已通过测试。 -Since 1980 to produce the IDS concept, host-based and network-based intrusion detection systems, knowledge-based model identification, anomaly
Intrusion-Detection
- The problem of intrusion detection has been studied and received a lot of attention in machine learning and data mining in the literature survey. The existing techniques are not effective to improve the classification accuracy and to reduce high
kse_test_matlab
- Given a matrix with m rows and n cols (m points in R^n), use resampling and the Kolmogorov Smirnov test to score [0,1] all points (as potential outliers) in linear time. This is an original algorithm that can be used for anomaly detection and ge
TRAOD_Algorithm
- 基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段，然后，在基于距离的异常检测方法的基础上，引入调整系数的概念，采用密度与距离相结合的方法进行异常轨迹检测。 -Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two gr
anomaly-detection
- 异常检测算法，包括基于聚类的、基于分类的、基于ocsvm的异常检测算法-Anomaly detection algorithms, including those based on clustering, based on the classification based anomaly detection algorithm ocsvm
drmf_export
- 低秩稀疏分解改进模型及算法。程序来源于Direct Robust Matrix Factorization for Anomaly Detection.-program for Direct Robust Matrix Factorization for Anomaly Detection.
pca
- 基于主元分析的异常检测和故障诊断，用于对具有高度线性相关的测量数据进行分析和处理，其最终实现高维空间降维的目的。-Anomaly detection based on principal component analysis and fault diagnosis, used for highly linear correlation measurement data analysis and processing, its ultimate achieve the goal of higher
MKAD
- 多核的异常检测（MKAD）算法用于一组文件的异常检测。它引入多喝到一个单优化函数，并使用一类支持向量机（OCSVM）框架进行实现-The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files. It combines multiple kernels into a single optimization function using the
Anomaly-Detection-Rder-Systems
- 异常检测和推荐系统的MATLAB实现案例，非常好的机器算法应用学习资料-MATLAB realization Case anomaly detection and recommendation system, a very good machine algorithm learning materials
LocalOutlierFactor
- Local Outlier Factor algorithm for detection of anomaly samples.
sherly2010
- This is a two stage fraud detection system which compares the incoming transaction against the transaction history to identify the anomaly using BOAT algorithm in the first stage. In second stage to reduce the false alarm rate suspected anomalies
elm_kernel_dd
- one-class extreme learning machine, 又快又好做异常检测(one-class extreme learning machine for fast and good anomaly detection)
改进的GA优化BP
- 改进的遗传算法优化的BP神经网络，用于电厂数据的异常检测和故障诊断，已验证有效性。(The improved genetic algorithm optimized BP neural network has been validated for power plant data anomaly detection and fault diagnosis.)
ANOM DET
- ANOMALY DETECTION IN MATLAB FOR HYPERSPECTRAL DATA
kmeans2
- 用于构建数据概要，用于分类、模式识别、假设生成和测试；用于异常检测，检测远离群簇的点。(Used to build data outlines for classification, pattern recognition, hypothesis generation and testing; for anomaly detection, detecting points away from the cluster.)