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» Data Mining: Machine Learning, Statistics, and Databases
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BMCBI
2010
133views more  BMCBI 2010»
14 years 12 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
87
Voted
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 5 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
KDD
1994
ACM
104views Data Mining» more  KDD 1994»
15 years 3 months ago
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools
The multistrategy knowledge discovery tool, INLEN, is applied to databases consisting of economic and demographic facts and statistics about the countries of the world. Preliminar...
Kenneth A. Kaufman
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 4 months ago
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri
IJIT
2004
15 years 1 months ago
AudioMine: Medical Data Mining in Heterogeneous Audiology Records
We report on the results of a pilot study in which a data-mining tool was developed for mining audiology records. The records were heterogeneous in that they contained numeric, cat...
Shaun Cox, Michael P. Oakes, Stefan Wermter, Mauri...