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elki-project.github.io ELKI ( Environment for Developing KDD-Applications Supported by Index-Structures ) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching.
It provides intrusion detection for most operating systems, including Linux, OpenBSD, FreeBSD, OS X, Solaris and Windows. OSSEC has a centralized, cross-platform architecture allowing multiple systems to be easily monitored and managed. [2] OSSEC has a log analysis engine that is able to correlate and analyze logs from multiple devices and ...
Download QR code; Print/export ... Anomaly detection. RANSAC; k-NN; ... It reached end-of-support in 2018. It is hosted on GitHub. [7] Features
As a SIEM system, OSSIM was intended to give security analysts and administrators a more complete view of all the security-related aspects of their system, by combining log management which can be extended with plugins and asset management and discovery with information from dedicated information security controls and detection systems. This ...
Deeplearning4j relies on the widely used programming language Java, though it is compatible with Clojure and includes a Scala application programming interface (API). It is powered by its own open-source numerical computing library, ND4J, and works with both central processing units (CPUs) and graphics processing units (GPUs).
ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]
On April 24, 2024, Huawei's MindSpore 2.3.RC1 was released to open source community with Foundation Model Training, Full-Stack Upgrade of Foundation Model Inference, Static Graph Optimization, IT Features and new MindSpore Elec MT (MindSpore-powered magnetotelluric) Intelligent Inversion Model.
Network behavior anomaly detection (NBAD) is a security technique that provides network security threat detection. It is a complementary technology to systems that detect security threats based on packet signatures. [1] NBAD is the continuous monitoring of a network for unusual events or trends.