斑马数智zebrai品牌怎么样 申请店铺

Zebra digital intelligence adopts the technical scheme of "reference" various data sources to obtain information, and improves the accuracy of data by integrating various data sources. Zebra digital intelligence has a professional data cleaning and filtering technology, which can effectively identify and remove failure and interference data, so as to achieve the available standards of modeling and analysis. Zebra digital intelligence can identify and process abnormal data caused by GPS point drift or failure and filter GPS noise through the internal filtering technology of spike detection and noise clean. Different cell phone sensors have different accuracy, so the direct use error will be very large. Zebra digital intelligence uses dynamic extended Kalman filter to realize the automatic noise reduction of sensor signal, which largely retains the information provided by the original sensor, and judges or predicts the current user's behavior through the analysis and calculation of sensor data. Through the industry's high-quality benchmark map, combined with the prohibition and mobile status of mobile devices, hundreds of millions of accurate real interest points are obtained. By using neural network and Markov chain technology, 74 features of sensor signals corresponding to different behavior modes and the rule of feature change are extracted to realize user behavior judgment. In order to meet the 5V characteristics of large-scale, multi-dimensional, low value density, high timeliness and uneven data quality, zebra digital intelligence has built a set of support for real-time / offline data calculation, deep learning, value mining, interactive query based on the current mainstream open-source big data platforms such as Hadoop, spark, Flink, tensorflow, etc It can process Pb level data.

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