Association Rules over Time
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3128-3_1
Reference28 articles.
1. Allaire J, Gandrud C, Russell K, Yetman C (2017) networkd3: D3 javascript network graphs from r. R package version 0.4
2. Appice A, Buono P (2005) Analyzing multi-level spatial association rules through a graph-based visualization. In: International conference on industrial, engineering and other applications of applied intelligent systems. Springer, pp 448–458
3. Barredo Arrieta A, Díaz-Rodríguez N, Del Ser J, Bennetot A, Tabik S, Barbado A, Garcia S, Gil-Lopez S, Molina D, Benjamins R, Chatila R, Herrera F (2020) Explainable artificial intelligence (xai): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf Fus 58:82–115
4. Carmichael CL, Leung CK-S (2010) Closeviz: Visualizing useful patterns. In: Proceedings of the ACM SIGKDD workshop on useful patterns, UP ’10, New York, NY, USA. Association for Computing Machinery
5. Chaudhuri A (2018) A visual technique to analyze flow of information in a machine learning system. In Wischgoll T, Zhang S, Kao DL, Chiang Y (eds.), Visualization and data analysis 2018, Burlingame, CA, USA, 28 Jan 2018–1 Feb 2018. Ingenta
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