Design patterns from biology for distributed computing
Recent developments in information technology have brought about important changes in
distributed computing. New environments such as massively large-scale, wide-area …
distributed computing. New environments such as massively large-scale, wide-area …
Concept frequency distribution in biomedical text summarization
LH Reeve, H Han, SV Nagori, JC Yang… - Proceedings of the 15th …, 2006 - dl.acm.org
Text summarization is a data reduction process. The use of text summarization enables
users to reduce the amount of text that must be read while still assimilating the core …
users to reduce the amount of text that must be read while still assimilating the core …
Neural recognition and genetic features selection for robust detection of e-mail spam
D Gavrilis, IG Tsoulos, E Dermatas - Hellenic Conference on Artificial …, 2006 - Springer
In this paper a method for feature selection and classification of email spam messages is
presented. The selection of features is performed in two steps: The selection is performed by …
presented. The selection of features is performed in two steps: The selection is performed by …
Performance of query processing implementations in ranking-based text retrieval systems using inverted indices
BB Cambazoglu, C Aykanat - Information Processing & Management, 2006 - Elsevier
Similarity calculations and document ranking form the computationally expensive parts of
query processing in ranking-based text retrieval. In this work, for these calculations, 11 …
query processing in ranking-based text retrieval. In this work, for these calculations, 11 …
Adaptive image retrieval using a graph model for semantic feature integration
J Urban, JM Jose - Proceedings of the 8th ACM international workshop …, 2006 - dl.acm.org
The variety of features available to represent multimedia data constitutes a rich pool of
information. However, the plethora of data poses a challenge in terms of feature selection …
information. However, the plethora of data poses a challenge in terms of feature selection …
Adapting pivoted document-length normalization for query size: Experiments in chinese and english
TL Chung, RWP Luk, KF Wong, KL Kwok… - ACM Transactions on …, 2006 - dl.acm.org
The vector space model (VSM) is one of the most widely used information retrieval (IR)
models in both academia and industry. It was less effective at the Chinese ad hoc retrieval …
models in both academia and industry. It was less effective at the Chinese ad hoc retrieval …
A semantic graph model for text representation and matching in document mining
K Shaban - 2006 - uwspace.uwaterloo.ca
The explosive growth in the number of documents produced daily necessitates the
development of effective alternatives to explore, analyze, and discover knowledge from …
development of effective alternatives to explore, analyze, and discover knowledge from …
An improved feature selection using maximized signal to noise ratio technique for TC
K Lakshmi, S Mukherjee - Third International Conference on …, 2006 - ieeexplore.ieee.org
Aim of this work is to produce excellent accuracy with reduced feature set by a simple
method. When the profile built using a feature selection method called MSNR (maximized …
method. When the profile built using a feature selection method called MSNR (maximized …
Sprite: A learning-based text retrieval system in dht networks
Y Li, HV Jagadish, KL Tan - 2007 IEEE 23rd International …, 2006 - ieeexplore.ieee.org
In this paper, we propose SPRITE (selective progressive index tuning by examples), a
scalable system for text retrieval in a structured P2P network. Under SPRITE, each peer is …
scalable system for text retrieval in a structured P2P network. Under SPRITE, each peer is …