Sciweavers

350 search results - page 5 / 70
» Discovering topical structures of databases
Sort
View
ISMB
1996
14 years 11 months ago
Discovering Empirically Conserved Amino Acid Substitution Groups in Databases of Protein Families
Thispaperintroducesa methodfor identifyingempirically conservedaminoacid substitution groups.In contrast with existing approachesthat viewaminoacid substitution as a pairwisepheno...
Thomas D. Wu, Douglas L. Brutlag
AI
2008
Springer
14 years 12 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
FLAIRS
2000
14 years 11 months ago
Discovering Structural Patterns in Telecommunications Data
With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated ...
Andi Baritchi, Diane J. Cook, Lawrence B. Holder
VLDB
2004
ACM
117views Database» more  VLDB 2004»
15 years 3 months ago
Discovering and Ranking Semantic Associations over a Large RDF Metabase
Information retrieval over semantic metadata has recently received a great amount of interest in both industry and academia. In particular, discovering complex and meaningful rela...
Christian Halaschek-Wiener, Boanerges Aleman-Meza,...
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...