{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T11:09:09Z","timestamp":1725707349890},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,7]]},"DOI":"10.1109\/icphm51084.2021.9486443","type":"proceedings-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T20:36:08Z","timestamp":1626813368000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["GE Aviation Use-case \u2013 Apache Spark for Analytics"],"prefix":"10.1109","author":[{"given":"Peter","family":"Knight","sequence":"first","affiliation":[]},{"given":"Lucas","family":"Partridge","sequence":"additional","affiliation":[]},{"given":"Honor","family":"Powrie","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2003.1234160"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2006.1656070"},{"year":"0","key":"ref12"},{"journal-title":"Walsh and Fletcher","article-title":"Gas Turbine Performance","year":"1998","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1115\/1.2818516"},{"year":"0","key":"ref15","article-title":"Spark issue tracker on developing custom ML pipeline python code"},{"article-title":"Pipeline python bokeh plotting code available for free","year":"2018","author":"spark","key":"ref16"},{"article-title":"Pipleine example","year":"0","author":"spark","key":"ref17"},{"year":"0","key":"ref18"},{"year":"2006","key":"ref4"},{"year":"2019","key":"ref3"},{"year":"0","key":"ref6"},{"year":"0","key":"ref5"},{"year":"0","key":"ref8"},{"year":"0","key":"ref7"},{"year":"0","key":"ref2"},{"year":"0","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2002.1036150"}],"event":{"name":"2021 IEEE International Conference on Prognostics and Health Management (ICPHM)","start":{"date-parts":[[2021,6,7]]},"location":"Detroit (Romulus), MI, USA","end":{"date-parts":[[2021,6,9]]}},"container-title":["2021 IEEE International Conference on Prognostics and Health Management (ICPHM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9486427\/9486436\/09486443.pdf?arnumber=9486443","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:43:33Z","timestamp":1652197413000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9486443\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,7]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icphm51084.2021.9486443","relation":{},"subject":[],"published":{"date-parts":[[2021,6,7]]}}}