All data are prone to error and require data cleaning prior to analysis. An important example
is longitudinal growth data, for which there are no universally agreed standard methods for …

There are different methodologies for identification of fuzzy duplicate records in the process
of data cleaning for data warehouse and data mining. The methodologies for duplicate …

Duplication in multi-dimensional data seriously interferes with data mining, analysis, and
application. Traditional data deduplication methods cannot meet the requirements for …

O crescente volume de dados em repositórios de reclamações de consumidores impõe
desafios significativos para a gestão eficaz dessas informações. Dentre estes desafios …

The data cleansing algorithm has a key role in this competitive environment as for decision
making considered the system requires more precise information.. Yet the inconsistency in …

How to find the abnormal points in data effectively and quickly and give a reasonable
explanation is the main content of anomaly detection. The development of deep learning …

多维度数据中的重复数据会严重影响数据的挖掘, 分析与应用. 针对传统的数据去重方法的成本,
效率和便捷性无法满足大数据分析需求的问题, 提出一种数据去重的交互式可视分析方法 …

Mobile Ad Hoc Network (MANET) is a special and attractive type of new wireless networks. It
is an autonomous system that can dynamically be set up anywhere and anytime without …

Duplicate records are broad problem in many of the databases. There are wide efforts
focusing on elimination of duplicate in data sets, because is it important part of data …

User profiling plays a very crucial role in government organizations. Fraudulent cases occur
due to multiple representations of user profile for a single user. Record linkage or record …