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Big data analytics in healthcare
The rapidly expanding field of big data analytics has started to play a pivotal role in the
evolution of healthcare practices and research. It has provided tools to accumulate, manage …
evolution of healthcare practices and research. It has provided tools to accumulate, manage …
Core-sets: Updated survey
In optimization or machine learning problems we are given a set of items, usually points in
some metric space, and the goal is to minimize or maximize an objective function over some …
some metric space, and the goal is to minimize or maximize an objective function over some …
Training gaussian mixture models at scale via coresets
How can we train a statistical mixture model on a massive data set? In this work we show
how to construct coresets for mixtures of Gaussians. A coreset is a weighted subset of the …
how to construct coresets for mixtures of Gaussians. A coreset is a weighted subset of the …
Smart government: Opportunities and challenges in smart cities development
Abstract The advent of Smart Cities is one of the greatest challenges and field of
opportunities in the goal to achieve sustainable, comfortable, and socially responsible living …
opportunities in the goal to achieve sustainable, comfortable, and socially responsible living …
Clustering time series under the Fréchet distance
The Fréchet distance is a popular distance measure for curves. We study the problem of
clustering time series under the Fréchet distance. In particular, we give (1+∊)-approximation …
clustering time series under the Fréchet distance. In particular, we give (1+∊)-approximation …
Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks
Mobile sensor networks are a great source of data. By collecting data with mobile sensor
nodes from individuals in a user community, eg using their smartphones, we can learn …
nodes from individuals in a user community, eg using their smartphones, we can learn …
Coresets for decision trees of signals
Abstract A $ k $-decision tree $ t $(or $ k $-tree) is a recursive partition of a matrix (2D-
signal) into $ k\geq 1$ block matrices (axis-parallel rectangles, leaves) where each …
signal) into $ k\geq 1$ block matrices (axis-parallel rectangles, leaves) where each …
Coresets for k-segmentation of streaming data
Life-logging video streams, financial time series, and Twitter tweets are a few examples of
high-dimensional signals over practically unbounded time. We consider the problem of …
high-dimensional signals over practically unbounded time. We consider the problem of …
Towards faster big data analytics for anti‐jamming applications in vehicular ad‐hoc network
Abstract Nowadays, Wireless Vehicular Ad‐Hoc Network (VANET) has become a valuable
asset for transportation systems. However, this advanced technology is characterized by …
asset for transportation systems. However, this advanced technology is characterized by …
RTIC-C: A big data system for massive traffic information mining
J Yu, F Jiang, T Zhu - … Conference on Cloud Computing and Big …, 2013 - ieeexplore.ieee.org
Traffic information system may produce massive and complex traffic data with the process of
collecting real-time original GPS (Global Positioning System) data, matching positions to a …
collecting real-time original GPS (Global Positioning System) data, matching positions to a …