摘要:
A system and method for fraud detection for a telephony platform based on an analysis of call detail records (CDRs) that are generated by the telephony platform. The analysis is based on collecting, organizing, transforming, analyzing, and quantifying the CDR data into a plurality of data analytics and data correlations and then applying fuzzy logic to the data analytics to generate a fraud risk rating for each incoming call into the platform.
摘要:
Systems, methods and apparatus are described herein for continuously measuring voice clarity and speech intelligibility by evaluating a plurality of telecommunications channels in real time. Voice clarity and speech intelligibility measurements may be formed from chained, configurable DSPs that can be added, subtracted, reordered, or configured to target specific audio features. Voice clarity and speech intelligibility may be enhanced by altering the media in one or more of the plurality of telecommunications channels. Analytics describing the measurements and enhancements may be displayed in reports, or in real time via a dashboard.
摘要:
Methods and systems for data management include representing, organizing, and accessing very large data sets. Embodiments describe supporting data sets of various size based on attributed data slices (ADSs) to enable reduced memory requirements, query decomposition and parallel execution, and constant execution times for concurrent queries. The ADSs can include data buckets comprising items that are grouped by an attribute key. Attribute groups can be further sorted (e.g., in ascending order) based on the attribute key. According to some embodiments, the essential structure of an ADS provides additional functionality while preserving the behavior expected of an ADS through the use of an Extension Block containing attribute location data.
摘要:
A system and method for fraud detection for a telephony platform based on an analysis of call detail records (CDRs) that are generated by the telephony platform. The analysis is based on collecting, organizing, transforming, analyzing, and quantifying the CDR data into a plurality of data analytics and data correlations and then applying fuzzy logic to the data analytics to generate a fraud risk rating for each incoming call into the platform.