Realistic Fraud Detection Dataset (Time-Series)

kaggle2026-05-03 更新2026-06-17 收录

时间序列欺诈检测

行为模式分析

数据链接：

https://www.kaggle.com/datasets/amaymishra11/financial-fraud-detection-dataset-ml-ready 数据链接链接失效反馈

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资源简介：

🚨 Simulates real-world fraud patterns using time-based and behavioral signals.

创建时间：

2026-05-03

High resolution locomotor time series in Japanese quail in a home-cage environment over a 6.5 day period (quail #3- group 1)

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行为模式分析

Each data point represents a 0.5s time interval (xi) in which the quail could either been ambulating (xi=1) or immobile (xi=0), over a 6.5 day period .The total number of data points is approximately

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ABSTRACT Objective: Analyze the prevalence and factors associated with internet addiction in a sample of high school adolescents in Acre, a state in northern Brazil. Methods: A population-based cross-

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pattern_journal_distribution.ods

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In order to analyze whether the distribution of adoption behavior patterns is biased across journals, we calculated the distribution ratio of keyword adoption behavior patterns in the 20 journals.

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PA variables by mulitmorbidity and disability. Median (5%/95%).

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行为模式分析

Results emerged from Wilcoxon-test. Significant differences are written in bold, p≤0.05; cpm = counts per minute; G = GINI-Index; high G = mainly few long bouts are responsible for the activity patter

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OW953 zgIs138[P(dat-1)::YFP] | 2014-04-18T18:56:48+02:00

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This experiment is part of the C.elegans behavioural database. For more information and the complete collection of experiments visit http://movement.openworm.org preview link : https://www.youtub

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Realistic Fraud Detection Dataset (Time-Series)

资源简介：

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