Knowledge discovery in databases: An overview
WJ Frawley, G Piatetsky-Shapiro, CJ Matheus - AI magazine, 1992 - ojs.aaai.org
After a decade of fundamental interdisciplinary research in machine learning, the spadework
in this field has been done; the 1990s should see the widespread exploitation of knowledge …
in this field has been done; the 1990s should see the widespread exploitation of knowledge …
A review of methods for spike sorting: the detection and classification of neural action potentials
MS Lewicki - Network: Computation in Neural Systems, 1998 - iopscience.iop.org
The detection of neural spike activity is a technical challenge that is a prerequisite for
studying many types of brain function. Measuring the activity of individual neurons …
studying many types of brain function. Measuring the activity of individual neurons …
Lineage-specific genome architecture links enhancers and non-coding disease variants to target gene promoters
Long-range interactions between regulatory elements and gene promoters play key roles in
transcriptional regulation. The vast majority of interactions are uncharted, constituting a …
transcriptional regulation. The vast majority of interactions are uncharted, constituting a …
Big data analytics for preventive medicine
Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …
can healthcare providers use modern data analytics tools and technologies to analyze and …
A survey of multiple classifier systems as hybrid systems
A current focus of intense research in pattern classification is the combination of several
classifier systems, which can be built following either the same or different models and/or …
classifier systems, which can be built following either the same or different models and/or …
[KNJIGA][B] Probabilistic graphical models: principles and techniques
D Koller, N Friedman - 2009 - books.google.com
A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …
would enable a computer to use available information for making decisions. Most tasks …
A fast algorithm for mining association rules
L Huang, H Chen, X Wang, G Chen - Journal of Computer Science and …, 2000 - Springer
In this paper, the problem of discovering association rules between items in a lange
database of sales transactions is discussed, and a novel algorithm, BitMatrix, is proposed …
database of sales transactions is discussed, and a novel algorithm, BitMatrix, is proposed …
BIRCH: an efficient data clustering method for very large databases
Finding useful patterns in large datasets has attracted considerable interest recently, and
one of the most widely studied problems in this area is the identification of clusters, or …
one of the most widely studied problems in this area is the identification of clusters, or …
[KNJIGA][B] The EM algorithm and extensions
GJ McLachlan, T Krishnan - 2008 - books.google.com
The only single-source——now completely updated and revised——to offer a unified
treatment of the theory, methodology, and applications of the EM algorithm Complete with …
treatment of the theory, methodology, and applications of the EM algorithm Complete with …
Hierarchical mixtures of experts and the EM algorithm
We present a tree-structured architecture for supervised learning. The statistical model
underlying the architecture is a hierarchical mixture model in which both the mixture …
underlying the architecture is a hierarchical mixture model in which both the mixture …