By : Flytxt R&D Team
Social media networks such as Facebook have become platforms for millions of people to broadcast their thoughts and opinions on great variety of topics. It has become an important domain for political conversations throughout the world too. Data analytics that use computational models of natural language processing on publicly available data to infer people’s attitude...
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By : Flytxt R&D Team
Audience analytics combines the power of GPS and mobile data intelligence to gain insights about the trips and movement habits of groups of people. It opens up huge opportunities for many enterprises and public agencies, who are focusing on areas like smart city planning, infrastructure planning, safety planning and so on. Telcos sitting on enormous...
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By : Flytxt R&D Team
Anomaly detection refers to the problem of finding events or patterns in data that do not conform to the normal or the expected behaviour. These non-conforming patterns are often referred to as anomalies. In telecom domain, subscribers who display a significantly different behaviour from others and change their own behaviour over time are likely to...
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By : Flytxt R&D Team
Identifying subscribers having similar interests and usage patterns and grouping them together is a very useful data mining technique in telecom. This provides meaningful insights about the usage characteristics of a set of subscribers and helps telcos in devising appropriate campaigns and recommendations. K-Nearest Neighbor (K-NN) model is one of the classical algorithms that is...
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