{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T08:32:23Z","timestamp":1747211543079,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671710","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T15:39:16Z","timestamp":1642088356000},"page":"2076-2083","source":"Crossref","is-referenced-by-count":1,"title":["Predicting Loss Risks for B2B Tendering Processes"],"prefix":"10.1109","author":[{"given":"Eelaaf","family":"Zahid","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuya","family":"Jeremy Ong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aly","family":"Megahed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taiga","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2015.7140393"},{"article-title":"CatBoost: unbiased boosting with categorical features","year":"2019","author":"prokhorenkova","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1515\/orga-2017-0020"},{"key":"ref13","article-title":"Sales Forecasting: Machine Learning Solution to B2B Sales Opportunity Win-Propensity Computation","author":"lambert","year":"2018","journal-title":"thesis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/app10114036"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2019.00049"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.02.036"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2015.86"},{"article-title":"Cross-validation: what does it estimate and how well does it do it?","year":"2021","author":"bates","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1039\/b515637h"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/forecast2030015"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1287\/inte.2019.1023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SRII.2014.16"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref8","first-page":"281","article-title":"Random Search for Hyper-Parameter Optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref7","article-title":"LightGBM: A highly efficient gradient boosting decision tree","author":"ke","year":"2017","journal-title":"NIPS"},{"key":"ref2","article-title":"Will they sign? Predicting the B2B service contract pipeline with structured and unstructured data","author":"megahed","year":"2018","journal-title":"2018 INFORMS International Conference on Service Science"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v29i1.9455","article-title":"On machine learning towards predictive sales pipeline analytics","volume":"29","author":"yan","year":"2015","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2015.76"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.30844\/wi_2020_c8-thiess"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24251\/HICSS.2019.125"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671710.pdf?arnumber=9671710","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T17:06:58Z","timestamp":1674407218000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671710\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671710","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}