ANOMALY DETECTION
Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of tim...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | SAINANI MANISH MAHESHWARI SONAL BARTON OLINER ADAM JAMISON LEVERICH JACOB BARTON ALEKSEYEV LEONID |
| description | Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input. A GUI including information related to the values identified as anomalies can be d |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2016103838A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2016103838A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2016103838A13</originalsourceid><addsrcrecordid>eNrjZBB09PP3dfSJVHBxDXF1DvH09-NhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfGhwUYGhmaGBsYWxhaOhsbEqQIAmSgevA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ANOMALY DETECTION</title><source>esp@cenet</source><creator>SAINANI MANISH ; MAHESHWARI SONAL BARTON ; OLINER ADAM JAMISON ; LEVERICH JACOB BARTON ; ALEKSEYEV LEONID</creator><creatorcontrib>SAINANI MANISH ; MAHESHWARI SONAL BARTON ; OLINER ADAM JAMISON ; LEVERICH JACOB BARTON ; ALEKSEYEV LEONID</creatorcontrib><description>Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input. A GUI including information related to the values identified as anomalies can be d</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2016</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20160414&DB=EPODOC&CC=US&NR=2016103838A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20160414&DB=EPODOC&CC=US&NR=2016103838A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SAINANI MANISH</creatorcontrib><creatorcontrib>MAHESHWARI SONAL BARTON</creatorcontrib><creatorcontrib>OLINER ADAM JAMISON</creatorcontrib><creatorcontrib>LEVERICH JACOB BARTON</creatorcontrib><creatorcontrib>ALEKSEYEV LEONID</creatorcontrib><title>ANOMALY DETECTION</title><description>Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input. A GUI including information related to the values identified as anomalies can be d</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2016</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZBB09PP3dfSJVHBxDXF1DvH09-NhYE1LzClO5YXS3AzKbq4hzh66qQX58anFBYnJqXmpJfGhwUYGhmaGBsYWxhaOhsbEqQIAmSgevA</recordid><startdate>20160414</startdate><enddate>20160414</enddate><creator>SAINANI MANISH</creator><creator>MAHESHWARI SONAL BARTON</creator><creator>OLINER ADAM JAMISON</creator><creator>LEVERICH JACOB BARTON</creator><creator>ALEKSEYEV LEONID</creator><scope>EVB</scope></search><sort><creationdate>20160414</creationdate><title>ANOMALY DETECTION</title><author>SAINANI MANISH ; MAHESHWARI SONAL BARTON ; OLINER ADAM JAMISON ; LEVERICH JACOB BARTON ; ALEKSEYEV LEONID</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2016103838A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2016</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SAINANI MANISH</creatorcontrib><creatorcontrib>MAHESHWARI SONAL BARTON</creatorcontrib><creatorcontrib>OLINER ADAM JAMISON</creatorcontrib><creatorcontrib>LEVERICH JACOB BARTON</creatorcontrib><creatorcontrib>ALEKSEYEV LEONID</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SAINANI MANISH</au><au>MAHESHWARI SONAL BARTON</au><au>OLINER ADAM JAMISON</au><au>LEVERICH JACOB BARTON</au><au>ALEKSEYEV LEONID</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ANOMALY DETECTION</title><date>2016-04-14</date><risdate>2016</risdate><abstract>Techniques are disclosed for anomaly detection. A search query can be executed over a period of time to produce values for a key performance indicator (KPI), the search query defining the KPI and deriving a value indicative of the performance of a service at a point in time or during a period of time, the value derived from machine data pertaining to one or more entities that provide the service. A graphical user interface (GUI) enabling a user to indicate a sensitivity setting can be displayed. A user input indicating the sensitivity setting can be received via the GUI. Zero or more of the values as anomalies can be identified in consideration of the sensitivity setting indicated by the user input. A GUI including information related to the values identified as anomalies can be d</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US2016103838A1 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | ANOMALY DETECTION |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T11%3A57%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=SAINANI%20MANISH&rft.date=2016-04-14&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2016103838A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |