A survey on trajectory data management, analytics, and learning
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …
in the availability and collection of urban trajectory data, thus increasing the demand for …
Challenges in KNN classification
S Zhang - IEEE Transactions on Knowledge and Data …, 2021 - ieeexplore.ieee.org
The KNN algorithm is one of the most popular data mining algorithms. It has been widely
and successfully applied to data analysis applications across a variety of research topics in …
and successfully applied to data analysis applications across a variety of research topics in …
On nonmetric similarity search problems in complex domains
The task of similarity search is widely used in various areas of computing, including
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …
Incremental local outlier detection for data streams
D Pokrajac, A Lazarevic… - 2007 IEEE symposium on …, 2007 - ieeexplore.ieee.org
Outlier detection has recently become an important problem in many industrial and financial
applications. This problem is further complicated by the fact that in many cases, outliers have …
applications. This problem is further complicated by the fact that in many cases, outliers have …
Outlier detection with kernel density functions
Outlier detection has recently become an important problem in many industrial and financial
applications. In this paper, a novel unsupervised algorithm for outlier detection with a solid …
applications. In this paper, a novel unsupervised algorithm for outlier detection with a solid …
[PDF][PDF] Efficient Computation of Reverse Skyline Queries.
In this paper, for the first time, we introduce the concept of Reverse Skyline Queries. At first,
we consider for a multidimensional data set P the problem of dynamic skyline queries …
we consider for a multidimensional data set P the problem of dynamic skyline queries …
Monitoring k-nearest neighbor queries over moving objects
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN)
queries over moving objects within a geographic area. Existing approaches to this problem …
queries over moving objects within a geographic area. Existing approaches to this problem …
Reverse spatial and textual k nearest neighbor search
Geographic objects associated with descriptive texts are becoming prevalent. This gives
prominence to spatial keyword queries that take into account both the locations and textual …
prominence to spatial keyword queries that take into account both the locations and textual …
Temporal spatial-keyword top-k publish/subscribe
Massive amount of data that are geo-tagged and associated with text information are being
generated at an unprecedented scale. These geo-textual data cover a wide range of topics …
generated at an unprecedented scale. These geo-textual data cover a wide range of topics …
Monochromatic and bichromatic reverse skyline search over uncertain databases
Reverse skyline queries over uncertain databases have many important applications such
as sensor data monitoring and business planning. Due to the existence of uncertainty in …
as sensor data monitoring and business planning. Due to the existence of uncertainty in …