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QRFA: A Data-Driven Model of Information-Seeking Dialogues.

, , , and . ECIR (1), volume 11437 of Lecture Notes in Computer Science, page 541-557. Springer, (2019)

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Evaluating a Petroleum Exploration Opportunity trough Data Mining., , and . ICEIS (1), page 334-337. SciTePress, (2012)Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances., , , , , and . CoRR, (2020)Link prediction using a probabilistic description logic., , and . J. Braz. Comp. Soc., 19 (4): 397-409 (2013)Learning context to adapt business processes., , , and . CSCWD, page 229-234. IEEE, (2013)Method for improvement of transparency: use of text mining techniques for reclassification of governmental expenditures records in Brazil., , , and . Int. J. Bus. Intell. Data Min., 18 (2): 155-196 (2021)Prediction of Business Process Instances with Dynamic Bayesian Networks., , , , , and . SIMPDA, volume 2270 of CEUR Workshop Proceedings, page 50-54. CEUR-WS.org, (2018)ALIN results for OAEI 2022., , , and . OM@ISWC, volume 3324 of CEUR Workshop Proceedings, page 129-136. CEUR-WS.org, (2022)Using word semantics on entity names for correspondence set generation., and . OM@ISWC, volume 2032 of CEUR Workshop Proceedings, page 223-224. CEUR-WS.org, (2017)An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction., , and . URSW, volume 900 of CEUR Workshop Proceedings, page 63-74. CEUR-WS.org, (2012)A proposal for optimizing internetwork matching of ontologies., , and . OM@ISWC, volume 2288 of CEUR Workshop Proceedings, page 71-75. CEUR-WS.org, (2018)