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Neighborhood features help detecting non-technical losses in big data sets
Research article (Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, 2016) · cited 35× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Neighborhood features help detecting non-technical losses in big data sets. Retrieved May 24, 2026, from https://4ort.xyz/entity/neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets
MLA“Neighborhood features help detecting non-technical losses in big data sets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets.
BibTeX@misc{4ortxyz_neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neighborhood features help detecting non-technical losses in big data sets}}, year = {2026}, url = {https://4ort.xyz/entity/neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Neighborhood features help detecting non-technical losses in big data sets — https://4ort.xyz/entity/neighborhood-features-help-detecting-non-technical-losses-in-big-data-sets (retrieved 2026-05-24)
