The exact computation of the number of distinct elements (frequency moment F0) is a fundamental problem in the study of data streaming algorithms. We denote the length of the stream by n where each symbol is drawn from a universe of size m. While it is well known that the moments F0, F1, F2 can be approximated by efficient streaming algorithms [1], it is easy to see that exact computation of F0, F2 requires space Ω(m). In previous work, Cormode et al. [11] therefore considered a model where the data stream is also processed by a powerful helper, who provides an interactive proof of the result. They gave such protocols with a polylogarithmic number of rounds of communication between helper and verifier for all functions in NC. This number of...
This thesis studies distance approximation in two closely related models- the streaming model and th...
Exact solutions are unattainable for important problems. The calculations are limited by the memory ...
Streaming algorithms must process a large quantity of small updates quickly to allow queries about t...
We present three algorithms to count the number of distinct elements in a data stream to within a fa...
We give the first optimal algorithm for estimating the number of distinct elements in a data stream,...
Recently, an extension of the standard data stream model has been introduced in which an algorithm c...
We consider the read/write streams model, an extension of the standard data stream model in which an...
Abstract. We develop the first streaming algorithm and the first two-party com-munication protocol t...
In this thesis, we give efficient algorithms and near-tight lower bounds for the following problems ...
Streaming algorithms, which process very large datasets received one update at a time, are a key too...
We study the problem of estimating distinct elements in the data stream model, which has a central r...
AbstractWe consider the problem of estimating the frequency count of data stream elements under poly...
We derive new time-space tradeoff lower bounds and algorithms for exactly computing statistics of in...
Recall from last lecture the simple but useful model of one-way communication complexity. Alice has ...
We present algorithms and lower bounds for the Longest Increasing Subsequence (LIS) and Longest Comm...
This thesis studies distance approximation in two closely related models- the streaming model and th...
Exact solutions are unattainable for important problems. The calculations are limited by the memory ...
Streaming algorithms must process a large quantity of small updates quickly to allow queries about t...
We present three algorithms to count the number of distinct elements in a data stream to within a fa...
We give the first optimal algorithm for estimating the number of distinct elements in a data stream,...
Recently, an extension of the standard data stream model has been introduced in which an algorithm c...
We consider the read/write streams model, an extension of the standard data stream model in which an...
Abstract. We develop the first streaming algorithm and the first two-party com-munication protocol t...
In this thesis, we give efficient algorithms and near-tight lower bounds for the following problems ...
Streaming algorithms, which process very large datasets received one update at a time, are a key too...
We study the problem of estimating distinct elements in the data stream model, which has a central r...
AbstractWe consider the problem of estimating the frequency count of data stream elements under poly...
We derive new time-space tradeoff lower bounds and algorithms for exactly computing statistics of in...
Recall from last lecture the simple but useful model of one-way communication complexity. Alice has ...
We present algorithms and lower bounds for the Longest Increasing Subsequence (LIS) and Longest Comm...
This thesis studies distance approximation in two closely related models- the streaming model and th...
Exact solutions are unattainable for important problems. The calculations are limited by the memory ...
Streaming algorithms must process a large quantity of small updates quickly to allow queries about t...