公开(公告)号：US10607150B2

公开(公告)日：2020-03-31

申请号：US15050785

申请日：2016-02-23

Applicant: Splunk Inc.

Inventor： Manish Sainani ,  Sergey Slepian ,  Iman Makaremi ,  Adam Jamison Oliner ,  Jacob Leverich ,  Di Lu

IPC: G06N20/00 ,  H04L12/24

Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.

公开(公告)号：US20180218285A1

公开(公告)日：2018-08-02

申请号：US15420618

申请日：2017-01-31

Applicant: SPLUNK INC.

Inventor： Adam Jamison Oliner ,  Hongyang Zhang ,  Sergey Slepian ,  Di Lu ,  XiaoYu Jia ,  Peter Chongjin Kim ,  Manish Sainani

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

CPC classification number: G06N20/00 ,  G06F16/2457 ,  G06N5/04

Abstract: Embodiments of the present invention are directed to facilitating search input recommendations. In accordance with aspects of the present disclosure, a set of events determined from raw machine data is obtained. The events are analyzed to generate a temporal map associated with the set of events. Generally, the temporal map associates candidate terms with temporally related terms that occur within a period of time corresponding with the candidate terms. A search term input into a search field is received. Based on the input search term, the temporal map is used to identify one or more temporally related term recommendations.