Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different
measurements of data in a wide range of fields. These measurements are generated …
measurements of data in a wide range of fields. These measurements are generated …
Big data analytics: a literature review
With more and more data generated, it has become a big challenge for traditional
architectures and infrastructures to process large amounts of data within an acceptable time …
architectures and infrastructures to process large amounts of data within an acceptable time …
Synopses for massive data: Samples, histograms, wavelets, sketches
Abstract Methods for Approximate Query Processing (AQP) are essential for dealing with
massive data. They are often the only means of providing interactive response times when …
massive data. They are often the only means of providing interactive response times when …
Sparse recovery using sparse matrices
In this paper, we survey algorithms for sparse recovery problems that are based on sparse
random matrices. Such matrices has several attractive properties: they support algorithms …
random matrices. Such matrices has several attractive properties: they support algorithms …
On density-based data streams clustering algorithms: A survey
Clustering data streams has drawn lots of attention in the last few years due to their ever-
growing presence. Data streams put additional challenges on clustering such as limited time …
growing presence. Data streams put additional challenges on clustering such as limited time …
Combining geometry and combinatorics: A unified approach to sparse signal recovery
There are two main algorithmic approaches to sparse signal recovery: geometric and
combinatorial. The geometric approach utilizes geometric properties of the measurement …
combinatorial. The geometric approach utilizes geometric properties of the measurement …
Light field stereo matching using bilateral statistics of surface cameras
In this paper, we introduce a bilateral consistency metric on the surface camera (SCam) for
light field stereo matching to handle significant occlusions. The concept of SCam is used to …
light field stereo matching to handle significant occlusions. The concept of SCam is used to …
Sampling trajectory streams with spatiotemporal criteria
Monitoring movement of high-dimensional points is essential for environmental databases,
geospatial applications, and biodiversity informatics as it reveals crucial information about …
geospatial applications, and biodiversity informatics as it reveals crucial information about …
Distributed sparse random projections for refinable approximation
Consider a large-scale wireless sensor network measuring compressible data, where n
distributed data values can be well-approximated using only k «n coefficients of some …
distributed data values can be well-approximated using only k «n coefficients of some …
[PDF][PDF] On biased reservoir sampling in the presence of stream evolution
The method of reservoir based sampling is often used to pick an unbiased sample from a
data stream. A large portion of the unbiased sample may become less relevant over time …
data stream. A large portion of the unbiased sample may become less relevant over time …