Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming what is referred to as the deep web. It is desirable to have systems that can pr...
We present a novel framework for automated extraction and approximation of numerical object attributes such as height and weight from the Web. Given an object-attribute pair, we d...
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
In on-demand multi-hop routing protocols for MANETs such as DSR and AODV, a fundamental requirement for peer-to-peer connectivity is to discover routes to a remote node via flood...
Dimitrios Koutsonikolas, Saumitra M. Das, Himabind...
We survey the emerging area of compression-based, parameter-free, similarity distance measures useful in data-mining, pattern recognition, learning and automatic semantics extracti...