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Anomaly detection (or outlier detection) is a process of the identifying items, events or observations which do not conform to an expected pattern of data in a dataset. Generally, the data in a given data pool is related/correlated with each other in a certain fashion- known as data patterns.
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Resources
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WHITE PAPERS
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Anomaly Detection Solutions for Increased Analytics Insights Anomaly detection (or outlier detection) is a process of the identifying items,…
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Vega HTTP The High Performance Web Server In this paper we present our lightweight, high-performance, low-latency web-server called VEGA-HTTP,…
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Case Studies
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Consumer Vehicle Accessories Solution for Leading Semiconductor Company Happiest Minds implemented a Consumer Vehicle Accessories Solution for a leading Semiconductor…
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Customer Scoring Model to Predict Cancellation Risk for… Travel Agency was facing difficulty in forecasting ticket cancellations (Both individual and…
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