公开(公告)号：US20180146047A1

公开(公告)日：2018-05-24

申请号：US15817720

申请日：2017-11-20

Applicant: Tata Consultancy Services Limited

Inventor： Swagata BISWAS ,  Tanushyam CHATTOPADHYAY ,  Arpan Pal ,  Snehasis Banerjee ,  Utpal GARIN

IPC: H04L29/08 ,  G06F17/14 ,  H04W4/38 ,  G06F8/36

CPC classification number: H04L67/125 ,  G06F8/30 ,  G06F8/36 ,  G06F17/141 ,  G06F17/148 ,  G06K9/6231 ,  G06K9/6245 ,  G06K9/6269 ,  G06N7/00 ,  H04W4/38

Abstract: A method and system has been provided for recommending features for developing an IoT analytics application. The method follows a deep like architecture. It comprises of three distinct layers. First layer is for input signal processing and other two layers are for feature reduction. The time domain, frequency domain and time-frequency domain features are extracted from the input signal. The invention uses multiple feature selection methods so that the union of the recommended features by these feature selection methods is significantly lesser than the initial set of features. The best feature combination is recommended using an exhaustive search.