Towards a Distributed Search Engine

To analyze pseudo-programs consisting of programming language statements and calls to unimplemented procedures, such as operations on ADT's, we compute the running time as a

puts and methods for bi-clustering; integration of mining local (frequent) patterns and global models (for prediction and clustering); constraint-based mining through

In addition to the research topic mentioned above, this book also includes chapters devoted to privacy issues in multimedia social environments, large-scale biometric data

Specifically, the contributions of FAST methodology to the CBIR liter- ature include (1) development of a new indexing method based on fuzzy logic to incorporate color, texture,

The design of dedicated applications and services requires infrastructures and tools such that application developers and data managers can easily access to and

In this paper we present our works toward an Entity Cen- tric Semantic Search Engine (ECSSE), an search application that leverages the Sindice Semantic Web Index [10] to au-

Since both indexical bias and content bias are important to represent the bias performance of a search engine, we assess search engine bias from both aspects and present search

The operators are based on concepts of constraint databases (see [4, 16]), relational algebra operators and distributed data mining [17, 22].. Extracting interesting patterns