With information and scale as central themes, this comprehensive survey explains how to
handle real problems in astronomical data analysis using a modern arsenal of powerful …

Data sets in large applications are often too massive to fit completely inside the computers
internal memory. The resulting input/output communication (or I/O) between fast internal …

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

In this overview paper we motivate the need for and research issues arising from a new
model of data processing. In this model, data does not take the form of persistent relations …

Publisher Summary The history of histograms is long and rich, full of detailed information in
every step. It includes the course of histograms in different scientific fields, the successes …

Approximate query processing has emerged as a cost-effective approach for dealing with
the huge data volumes and stringent response-time requirements of today's decision …

Wireless sensor networks are proving to be useful in a variety of settings. A core challenge
in these networks is to minimize energy consumption. Prior database research has …

Query optimization is an integral part of relational database management systems. One
important task in query optimization is selectivity estimation, that is, given a query P, we …

We investigate algorithms for evaluating sliding window joins over pairs of unbounded
streams. We introduce a unit-time-basis cost model to analyze the expected performance of …

We present techniques for computing small space representations of massive data streams.
These are inspired by traditional wavelet-based approximations that consist of specific linear …