公开(公告)号：US10367701B2

公开(公告)日：2019-07-30

申请号：US15253115

申请日：2016-08-31

Applicant: Tata Consultancy Services Limited

Inventor： Shameemraj M Nadaf ,  Hemant Kumar Rath ,  Arun Kumar A V ,  Samar Shailendra ,  Anantha Simha

IPC: H04L12/24 ,  H04L29/08 ,  H04L12/64 ,  G06F9/50

Abstract: This disclosure relates generally to provisioning network services in a cloud computing environment, and more particularly to framework for provisioning network services in a heterogeneous cloud computing environment. In one embodiment, the disclosure includes a network as a service (NaaS) layer under a cloud provisioning platform. The NaaS layer can be interfaced with any cloud provisioning platform. The NaaS layer serves the networking needs of the heterogeneous cloud environment. It provides network services like monitoring, notifications, QoS policies, network topology and other services. For example, the cloud provisioning platform defines a virtual network and attaches a plurality of virtual machines to it. All the communications related to creation/deletion/update of virtual networks, virtual subnets, virtual ports, virtual router, virtual interfaces etc., are sent to the NaaS layer. On receiving the communication, the NaaS layer takes necessary steps to provide the network services as per the needs of the request. Apart from provisioning, the NaaS layer periodically monitors the network elements as well.

公开(公告)号：US10762437B2

公开(公告)日：2020-09-01

申请号：US15077563

申请日：2016-03-22

Applicant: Tata Consultancy Services Limited

Inventor： Arun Kumar A V ,  Hemant Kumar Rath ,  Shameemraj M Nadaf ,  Anantha Simha

IPC: G06N20/00 ,  G06F16/951 ,  G06F16/95 ,  G06N5/04

Abstract: Methods and Systems for automatic information extraction by performing self-learning crawling and rule-based data mining is provided. The method determines existence of crawl policy within input information and performs at least one of front-end crawling, assisted crawling and recursive crawling. Downloaded data set is pre-processed to remove noisy data and subjected to classification rules and decision tree based data mining to extract meaningful information. Performing crawling techniques leads to smaller relevant datasets pertaining to a specific domain from multi-dimensional datasets available in online and offline sources.

公开(公告)号：US20160371603A1

公开(公告)日：2016-12-22

申请号：US15077563

申请日：2016-03-22

Applicant: Tata Consultancy Services Limited

Inventor： Arun Kumar A V ,  Hemant Kumar RATH ,  Shameemraj M. NADAF ,  Anantha SIMHA

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

CPC classification number: G06N20/00 ,  G06F16/95 ,  G06F16/951 ,  G06N5/045

Abstract: Methods and Systems for automatic information extraction by performing self-learning crawling and rule-based data mining is provided. The method determines existence of crawl policy within input information and performs at least one of front-end crawling, assisted crawling and recursive crawling. Downloaded data set is pre-processed to remove noisy data and subjected to classification rules and decision tree based data mining to extract meaningful information. Performing crawling techniques leads to smaller relevant datasets pertaining to a specific domain from multi-dimensional datasets available in online and offline sources.

Abstract translation: 提供了通过执行自学习爬行和基于规则的数据挖掘自动信息提取的方法和系统。 该方法确定输入信息中的爬网策略的存在，并执行前端抓取，辅助爬行和递归爬行中的至少一个。 下载的数据集被预先处理，以去除噪声数据，并进行分类规则和基于决策树的数据挖掘，以提取有意义的信息。 执行爬网技术会导致与在线和离线资源中提供的多维数据集相关的特定域的较小的相关数据集。