We consider the problem of estimating the distance between any two large data streams in smallspace constraint. This problem is of utmost importance in data intensive monitoring applications where input streams are generated rapidly. These streams need to be processed on the fly and accurately to quickly determine any deviance from nominal behavior. We present a new metric, the Sketch ⋆-metric,...

Data streams are dynamic, with frequent distributional changes. In this paper, we propose a statistical approach to detecting distributional shifts in multi-dimensional data streams. We use relative entropy, also known as the Kullback-Leibler distance, to measure the statistical distance between two distributions. In the context of a multidimensional data stream, the distributions are generated...

in this research, the spatial distribution of electrical conductivity and ph of springs, ghanats and the base flow concentration places on the streams of central and south-west and central parts of the hamedan-bahar plain were evaluated. using different geostatistical methods such as kriging, minimum curvature, inverse distance, natural neighbor, local polynomial and radial basis functions, 108...

Data streams are massive, fast-changing, and infinite. Applications of data streams can vary from critical scientific and astronomical applications to important business and financial ones. They need algorithms to make a single pass with limited time and memory. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non-stopping data streams....

REGULAR PROGRAMMING OVER DATA STREAMS

I develop an asset-pricing model in which financial assets are valued for their liquidity– the extent to which they are useful in facilitating exchange–as well as for being claims to streams of consumption goods. The implications for average asset returns, the equitypremium puzzle, and the risk-free rate puzzle, are explored both analytically and quantitatively in a version of the model that ne...

In this paper we present a time slot allocation scheme to support real-time communications with strict rate requirements and flexible distance constraints. We first devise an algorithm to schedule message streams on a single link. We then extend it to schedule real-time traffic on WDM optical star couplers, where the validation requirements of the device configuration are also taken into consid...

In this paper we present a time slot allocation scheme to support real-time communications with strict rate requirements and flexible distance constraints. We first devise an algorithm to schedule message streams on a single link. We then extend it to schedule real-time traffic on WDM optical star couplers, where the validation requirements of the device configuration are also taken into consid...

The network architecture of streams and rivers constrains evolutionary, demographic and ecological processes of freshwater organisms. This consistent architecture also makes stream networks useful for testing general models of population genetic structure and the scaling of gene flow. We examined genetic structure and gene flow in the facultatively paedomorphic Idaho giant salamander, Dicamptod...