[BOOK][B] The data matching process
P Christen, P Christen - 2012 - Springer
This chapter provides an overview of the data matching process, and describes the five
major steps involved in this process: data pre-processing (cleaning and standardisation) …
major steps involved in this process: data pre-processing (cleaning and standardisation) …
Dealing with uncertainty: A survey of theories and practices
Y Li, J Chen, L Feng - IEEE Transactions on Knowledge and …, 2012 - ieeexplore.ieee.org
Uncertainty accompanies our life processes and covers almost all fields of scientific studies.
Two general categories of uncertainty, namely, aleatory uncertainty and epistemic …
Two general categories of uncertainty, namely, aleatory uncertainty and epistemic …
A survey of indexing techniques for scalable record linkage and deduplication
P Christen - IEEE transactions on knowledge and data …, 2011 - ieeexplore.ieee.org
Record linkage is the process of matching records from several databases that refer to the
same entities. When applied on a single database, this process is known as deduplication …
same entities. When applied on a single database, this process is known as deduplication …
Data-Centric Systems and Applications
The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …
accessible data source in the world. Web mining aims to discover useful information or …
Querying uncertain spatio-temporal data
The problem of modeling and managing uncertain data has received a great deal of interest,
due to its manifold applications in spatial, temporal, multimedia and sensor databases …
due to its manifold applications in spatial, temporal, multimedia and sensor databases …
Uncertain spatial data management: An overview
A Züfle - Handbook of Big Geospatial Data, 2020 - Springer
Both the current trends in technology such as smart phones, general mobile devices,
stationary sensors, and satellites as we as a new user mentality of using this technology to …
stationary sensors, and satellites as we as a new user mentality of using this technology to …
Efficient probabilistic reverse nearest neighbor query processing on uncertain data
Given a query object q, a reverse nearest neighbor (RNN) query in a common certain
database returns the objects having q as their nearest neighbor. A new challenge for …
database returns the objects having q as their nearest neighbor. A new challenge for …
Managing uncertainty in spatial and spatio-temporal data
Location-related data has a tremendous impact in many applications of high societal
relevance and its growing volume from heterogeneous sources is one true example of a Big …
relevance and its growing volume from heterogeneous sources is one true example of a Big …
Cleaning uncertain data for top-k queries
The information managed in emerging applications, such as sensor networks, location-
based services, and data integration, is inherently imprecise. To handle data uncertainty …
based services, and data integration, is inherently imprecise. To handle data uncertainty …
[PDF][PDF] Indexing and query processing techniques in spatio-temporal data
Indexing and query processing is an emerging research field in spatio-temporal data. Most
of the real-time applications such as location based services, fleet management, traffic …
of the real-time applications such as location based services, fleet management, traffic …