… Note that with the previous assumptions, we aim to keep the automated cleansing approach
as general as possible and thus applicable to any data(base) model. The only requirements …

… the Silhouette method, as it allows easier automation of the system and obtains better results,
… Following a data cleansing process, where corrupted data is removed from the dataset (…

… In their work on the automated cleansing of POI databases, [1] provide a fundamental
definition of POI: “A point of interest (or POI) is axiomatically understood as a piece of data that …

… Finding the obsolete POI is an important work as the outdated POI may mislead … POI which
is useful in handling the POI recommendation [4]. Researchers proposed detection of the POI …

… Therefore, updating the POI database in timely is substantial significant. In general, POI
database updating is comparing the newly generated POI entities with the existing POI entities …

… • A central data cleansing database was built and ensured … the database to effectively map
the passenger data with the poi loca… The results of the automated cleansing activities were as …

… in our automated modeling system: data surface structure (we do not consider database …
Footnote 2 Some of the list-cleansing will still need to be done in the automated process (as …

… how crowd-sourced POI data already in the database can be … database to rely on correction
through the crowd (10). Tré et al. provides a cleansing technique for checking coreferent POI …

… A possibilistic fuzzy approach is used in [87] for automated cleansing of POI (points of interest)
databases. Finally, there is a group of papers that manage uncertainty using the concept …

… ) and other automated data collection systems can provide a rich and extensive database that
… Therefore, the first step in data cleansing is to throw out data that is out of range. A classic …