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Unsupervised Network Traffic Anomaly Detection Using Parameterized Entropy and LSTM AutoEncoders

Whitepaper

Unsupervised Network Traffic Anomaly Detection Using Parameterized Entropy and LSTM AutoEncoders

Detecting anomalous traffic provides one approach to network security threat detection. In this white paper we propose a behavior-based anomaly detection method that detects anomalous traffic by applying a threshold to a reconstruction error given by the LSTM AutoEncoder model on the Bro conn log data collected as time series data.

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Healthcare Insights Member Engagement Solution

Infographic

Healthcare Insights Member Engagement Solution

ITC Infotech Member Engagement solution enables, payers and providers, to leverage Big Data  analytics, Artificial Intelligence, and Machine Learning to engage with their members effectively while improving member satisfaction, brand image as well as lowering the cost of care delivered to improve profitability.

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Healthcare Insights Quality Solution

Infographic

Healthcare Insights Quality Solution

Boost Care Quality and Accelerate Gap Closure with our Healthcare Insights Quality solution. Enabling healthcare organizations to attain the highest levels of quality standards by analytics-driven improvements in clinical effectiveness, member experience, and care outcomes.

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Improving population health using analytics

Brochure

Improving population health using analytics

According to CMS, the U.S. healthcare system spends $10,3481 per person every year (highest in the world) to manage, track, analyze and perform care coordination and quality improvement initiatives. Six in ten Americans live with at least one chronic disease like heart disease, cancer, stroke, or diabetes2. These and other chronic diseases are attributed to be the major reasons of death and disability in America, and a prominent driver of health care costs.

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