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» Data Mining in the Bioinformatics Domain
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ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
15 years 5 months ago
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
The data stream captured by recording inhabitantdevice interactions in an environment can be mined to discover significant patterns, which an intelligent agent could use to automa...
Edwin O. Heierman III, Diane J. Cook
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 4 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
BMCBI
2006
114views more  BMCBI 2006»
14 years 12 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...
NAR
2006
120views more  NAR 2006»
14 years 11 months ago
TreeDomViewer: a tool for the visualization of phylogeny and protein domain structure
Phylogenetic analysis and examination of protein domains allow accurate genome annotation and are invaluable to study proteins and protein complex evolution. However, two sequence...
Blaise T. F. Alako, Daphne Rainey, Harm Nijveen, J...
PVLDB
2010
95views more  PVLDB 2010»
14 years 10 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang