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Siem Event Normalization Makes Raw Data Relevant To Both Humans And Machines | AutoTraffic

SIEM Event Normalization Makes Raw Data Relevant to Both Humans and Machines

A security information and event management (SIEM) system is an indispensable tool for any security operations center (SOC). It collects events from devices in your network infrastructure such as ... read more

How To Prepare For a Security Information and Event Management Deployment

This maxim certainly applies to most large-scale IT projects, and doubly so for Security Information and Event Management (SIEM) projects ... As well as collecting and storing this raw log data, the ... read more

False Distinctions Between Hardware and Software Patents are Not the Answer

And from the perspective of an interface designer, one would expect to be able to protect an invention that takes raw data from human ... machines that “did not previously exist.” (Moore Op. at 14) ... read more

A methodology for the design of experiments in computational intelligence with multiple regression models

Experimental Design (ED) in Computational Intelligence (CI) is one of the most important aspects in ... in equality of conditions. Thus, normalization or standardization techniques are required to ... read more

A general and flexible method for signal extraction from single-cell RNA-seq data

In addition, the model makes a strong assumption ... acts as a global-scaling normalization factor, allowing the modeling of raw count data, with no need for prior normalization. The removal of batch ... read more

AccelOps Further Enhances Visibility, Control, and Efficiency for Data Centers and Cloud Service Providers

Organizations can purchase the SIEM (Security Information Event Management) module, the PAM (Performance and Availability Monitoring) module, or both as an "all-in-one" solution.About AccelOps ... read more

Heroes of Deep Learning: Andrew Ng interviews Ian Goodfellow from Google Brain

So I think that GANs are at an important ... machines as the building blocks, and they were very, very finicky. Over time, we switched to things like rectified linear units and batch normalization, ... read more

NIPS’17 highlights and trends overview

Yee Whye Teh’s keynote speech on “Bayesian Deep Learning and Deep Bayesian Learning” The majority of DL applications so far can be considered different flavours of perception: taking some raw input ... read more

Finding the Right Data Solution for Your Application in the Data Storage Haystack

and raw observation data. The storage handles unstructured data as Files or Blobs (sequence of bytes). Applications either present unstructured data as is to humans who make sense of it (e.g. Web) or ... read more

Intel Capital Invests $38 Million in 12 Promising Startups

Following are details on Intel Capital's new investments in 12 pioneering startups: Autonomous Machines ... both the business consumer and IT. With Paxata, business analysts, data engineers and data ... read more

Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease

The model-based and model-free analytical methods we employed included logistic regression, random forests, support vector machines ... Research (Michigan data) and the Sourasky Medical Center, Israel ... read more

Cost-efficient enactment of stream processing topologies

One of the most important challenges is the cost-efficient enactment of stream processing topologies under changing ... dedicated operation to transform the raw data from manufacturing machines into ... read more
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