{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T22:53:25Z","timestamp":1757631205769,"version":"3.44.0"},"reference-count":8,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>In many applications the training data do not always contain sufficient information to produce high-quality decision rules for standard (end-to-end) rule mining algorithms, and human experts have to incorporate domain knowledge during rule induction in order to get meaningful results. In this work we present Fanglue, a home-grown system inside Alipay, for interactive decision rule crafting. Fanglue is a distributed in-memory system and is highly responsive when processing large-scale datasets. In addition, Fanglue extends the standard representation of a decision rule by introducing disjunctive clauses. Having disjunctive clauses can improve the coverage and robustness of a decision rule, especially for fraud prevention in Fintech applications.<\/jats:p>","DOI":"10.14778\/3611540.3611621","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T11:32:37Z","timestamp":1694777557000},"page":"4062-4065","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Fanglue: An Interactive System for Decision Rule Crafting"],"prefix":"10.14778","volume":"16","author":[{"given":"Chen","family":"Qian","sequence":"first","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiwei","family":"Liang","sequence":"additional","affiliation":[{"name":"Ant Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoyang","family":"Wang","sequence":"additional","affiliation":[{"name":"Ant Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yin","family":"Lou","sequence":"additional","affiliation":[{"name":"Ant Group, Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"2023. 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Rudolf: interactive rule refinement system for fraud detection","volume":"9","author":"Milo T.","year":"2016","unstructured":"T. Milo, S. Novgorodov, and W. Tan. 2016. Rudolf: interactive rule refinement system for fraud detection. PVLDB 9, 13 (2016), 1465--1468.","journal-title":"PVLDB"},{"key":"e_1_2_1_7_1","unstructured":"C. Molnar. 2020. Interpretable Machine Learning. Lulu. com."},{"key":"e_1_2_1_8_1","volume-title":"Ray: A distributed framework for emerging AI applications. In OSDI.","author":"Moritz P.","year":"2018","unstructured":"P. Moritz, R. Nishihara, S. Wang, A. Tumanov, R. Liaw, E. Liang, M. Elibol, Z. Yang, W. Paul, M.I. Jordan, and I. Stoica. 2018. Ray: A distributed framework for emerging AI applications. In OSDI."}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3611540.3611621","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:35:45Z","timestamp":1757543745000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3611540.3611621"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":8,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["10.14778\/3611540.3611621"],"URL":"https:\/\/doi.org\/10.14778\/3611540.3611621","relation":{},"ISSN":["2150-8097"],"issn-type":[{"type":"print","value":"2150-8097"}],"subject":[],"published":{"date-parts":[[2023,8]]},"assertion":[{"value":"2023-08-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}