公开(公告)号：US09930494B2

公开(公告)日：2018-03-27

申请号：US14881538

申请日：2015-10-13

Applicant: Cisco Technology, Inc.

Inventor： Hao Liu ,  David Tang ,  Zhitao Shen ,  Hua Zhang ,  Vikram Kumaran

IPC: H04W24/00 ,  H04W4/04 ,  H04L29/08

CPC classification number: H04W4/30 ,  H04L67/22 ,  H04W4/04

Abstract: Location data is obtained from signals transmitted by a first plurality of mobile wireless devices in a wireless network, wherein the first plurality of mobile wireless devices are moving within a predefined space, and wherein the location data comprises a plurality of location data time points, each location data time point including a timestamp, a unique mobile wireless device identifier, and location information indicating where in the predefined space an associated mobile wireless device is located. For each mobile wireless device, location data time points are aggregated to generate a set of aggregated location data for each mobile wireless device, and the set of aggregated location data is analyzed to determine characteristics corresponding to time-dependent behavior and location-specific behavior of the corresponding mobile wireless device. A user of each corresponding mobile wireless device is classified into a category of a plurality of categories based on the determined characteristics.

公开(公告)号：US20170193371A1

公开(公告)日：2017-07-06

申请号：US14985790

申请日：2015-12-31

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Zhitao Shen ,  Vikram Kumaran ,  David Tang ,  Hao Liu

IPC: G06N5/04 ,  G06F17/30 ,  G06N99/00

CPC classification number: G06F16/24568 ,  G06N20/00 ,  G06N20/20

Abstract: In one embodiment, a method includes receiving a data stream at an analytics device, applying at the analytics device, continuous streaming queries to the data stream to build a plurality of models simultaneously for a plurality of time windows, each of the models comprising an incremental machine learning algorithm with parameters optimized for one of the time windows, validating the models in parallel using real-time data at the analytics device, selecting at least one of the models based on a comparison of validation results for the models, and applying the selected model to the real-time data to generate a data prediction at the analytics device. An apparatus and logic are also disclosed herein.