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Anti‐Money Laundering Transaction Monitoring Systems Implementation最新文献

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Customer Segmentation 客户细分
Pub Date : 2020-12-08 DOI: 10.1002/9780470685815.ch5
Pappala Shamili Kumari
In today’s fast moving world of marketing, the management of customer treatment can be seenas a key to achieve revenue growth and profitability. One of the big challenges in customer-basedorganizations is customer cognition, understanding the difference between them, and scoring them.Business strategies have to be according to the solutions to the above mentioned challenges. In thispaper we proposed a Customer Segmentation, which is one of the key aspects of the businessdecision support system and we are using K-means clustering algorithm which is a partitioningalgorithm, to segment the customers according to the similar characteristics to determine theoptimal clusters.
在当今瞬息万变的市场营销世界中,客户待遇管理可以被视为实现收入增长和盈利能力的关键。在以客户为基础的组织中,最大的挑战之一是客户认知,理解他们之间的差异,并对他们进行评分。商业战略必须根据上述挑战的解决方案。在本文中,我们提出了一个客户细分,这是业务决策支持系统的关键方面之一,我们使用K-means聚类算法,这是一种划分算法,根据客户的相似特征来划分客户,以确定最优聚类。
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引用次数: 14
The Importance of Data 数据的重要性
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch3
M. Sayers
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引用次数: 0
Transaction Monitoring in Different Businesses 不同业务中的事务监控
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch2
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引用次数: 0
Scenarios in Detail 场景说明
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch5
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引用次数: 0
Index 指数
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.index
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引用次数: 0
Typical Scenario Elements 典型场景元素
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch4
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引用次数: 0
An Introduction to Anti‐Money Laundering 反洗钱导论
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch1
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引用次数: 1
Scenario Threshold Tuning 场景阈值调优
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch9
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引用次数: 0
Entity Resolution and Watchlist Matching 实体解析和监视列表匹配
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch7
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引用次数: 0
The Selection of Scenarios 场景的选择
Pub Date : 2020-12-08 DOI: 10.1002/9781119381877.ch6
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引用次数: 0
期刊
Anti‐Money Laundering Transaction Monitoring Systems Implementation
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