In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
The problem of finding your way through a relatively unknown collection of digital documents can be daunting. Such collections sometimes have few categories and little hierarchy, ...
We study finding similar or diverse solutions of a given computational problem, in answer set programming, and introduce offline methods and online methods to compute them using an...
Thomas Eiter, Esra Erdem, Halit Erdogan, Michael F...
Similarity search in time series data is an active area of research in data mining. In this paper we introduce a new approach for performing similarity search over time series dat...
A large number of question and answer pairs can be collected from question and answer boards and FAQ pages on the Web. This paper proposes an automatic method of finding the ques...