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Indexing metric spaces for exact similarity search
With the continued digitization of societal processes, we are seeing an explosion in
available data. This is referred to as big data. In a research setting, three aspects of the data …
available data. This is referred to as big data. In a research setting, three aspects of the data …
A survey of uncertain data management
Uncertain data are data with uncertainty information, which exist widely in database
applications. In recent years, uncertainty in data has brought challenges in almost all …
applications. In recent years, uncertainty in data has brought challenges in almost all …
Top-k nearest neighbor search in uncertain data series
Many real applications consume data that is intrinsically uncertain, noisy and error-prone. In
this study, we investigate the problem of finding the top-k nearest neighbors in uncertain …
this study, we investigate the problem of finding the top-k nearest neighbors in uncertain …
Secure range search over encrypted uncertain IoT outsourced data
Internet of Things (IoT) is an increasingly popular technological trend. The operation of IoT
needs a strong data-handling capacity, where most of the data are sensor data. Limitations …
needs a strong data-handling capacity, where most of the data are sensor data. Limitations …
A provably secure and efficient range query scheme for outsourced encrypted uncertain data from cloud-based Internet of Things systems
The outsourcing of data is becoming increasingly commonplace as data is constantly been
synchronized between user systems (eg, personal computers and sensor devices) and …
synchronized between user systems (eg, personal computers and sensor devices) and …
Nearest neighbor-based classification of uncertain data
This work deals with the problem of classifying uncertain data. With this aim we introduce the
Uncertain Nearest Neighbor (UNN) rule, which represents the generalization of the …
Uncertain Nearest Neighbor (UNN) rule, which represents the generalization of the …
Analyses of indexing techniques on uncertain data with high dimensionality
Deploying a solution for handling critical decision-based problem efficiently requires the
processing of high-dimensional data. Over the years, due to modern technological …
processing of high-dimensional data. Over the years, due to modern technological …
Indexing metric uncertain data for range queries and range joins
Range queries and range joins in metric spaces have applications in many areas, including
GIS, computational biology, and data integration, where metric uncertain data exist in …
GIS, computational biology, and data integration, where metric uncertain data exist in …
Answering why-not questions on metric probabilistic range queries
Metric probabilistic range queries (MPRQ) have received substantial attention due to their
utility in multimedia and text retrieval, decision making, etc. Existing MPRQ studies generally …
utility in multimedia and text retrieval, decision making, etc. Existing MPRQ studies generally …
Effectively indexing the multi-dimensional uncertain objects for range searching
The range searching problem is fundamental in a wide spectrum of applications such as
radio frequency identification (RFID) networks, location based services (LBS), and global …
radio frequency identification (RFID) networks, location based services (LBS), and global …