Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...
Background: The functional annotation of proteins relies on published information concerning their close and remote homologues in sequence databases. Evidence for remote sequence ...
Charles Richard Bradshaw, Vineeth Surendranath, Bi...
Uncertainty in categorical data is commonplace in many applications, including data cleaning, database integration, and biological annotation. In such domains, the correct value o...
Sarvjeet Singh, Chris Mayfield, Sunil Prabhakar, R...