Data Mining: Foundations and Intelligent Paradigms
Volume 3: Medical, Health, Social, Biological and other Applications
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Chapter
Bayesian Networks: Theory and Philosophy
This chapter explores the theory of Bayesian networks with particular reference to Maximum Entropy Formalism. A discussion of objective Bayesianism is given together with some brief remarks on applications.
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Article
Electromicrobiology: the ecophysiology of phylogenetically diverse electroactive microorganisms
Electroactive microorganisms markedly affect many environments in which they establish outer-surface electrical contacts with other cells and minerals or reduce soluble extracellular redox-active molecules suc...
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Article
Open AccessPotential for Methanosarcina to Contribute to Uranium Reduction during Acetate-Promoted Groundwater Bioremediation
Previous studies of acetate-promoted bioremediation of uranium-contaminated aquifers focused on Geobacter because no other microorganisms that can couple the oxidation of acetate with U(VI) reduction had been det...
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Article
Open AccessSignificant enhancement of nitrous oxide energy yields from wastewater achieved by bioaugmentation with a recombinant strain of Pseudomonas aeruginosa
Nitrous oxide (N2O) is formed during wastewater nitrogen removal processes. It is a strong greenhouse gas, however, if properly captured it can also be used as a renewable energy source. In this study, a nosZ-def...
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Chapter
Advances in Biomedical Informatics: An Introduction
This chapter presents a summary of a sample of research in the field of biomedical informatics. The topics include digital health research, medical decision support systems, Bayesian networks, tele-monitoring,...
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Article
Open AccessThe complete genome sequence and emendation of the hyperthermophilic, obligate iron-reducing archaeon “Geoglobus ahangari” strain 234T
“Geoglobus ahangari” strain 234T is an obligate Fe(III)-reducing member of the Archaeoglobales, within the archaeal phylum Euryarchaeota, isolated from the Guaymas Basin hydrothermal syst...
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Book
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Book
Data Mining: Foundations and Intelligent Paradigms
Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
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Book
Data Mining: Foundations and Intelligent Paradigms
Volume 1: Clustering, Association and Classification
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Chapter
Advanced Modelling Paradigms in Data Mining
As discussed in the previous volume, the term Data Mining grew from the relentless growth of techniques used to interrogation masses of data. As a myriad of databases emanated from disparate industries, enterpris...
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Chapter
Advances in Intelligent Data Mining
The human body is composed of eleven sub-systems. These include the: respiratory, digestive, muscular, immune, circulatory, digestive, skeletal, endocrine, urinary, integumentary and reproductive systems [1]. ...
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Chapter
Data Mining Techniques in Clustering, Association and Classification
The term Data Mining grew from the relentless growth of techniques used to interrogation masses of data. As a myriad of databases emanated from disparate industries, management insisted their information officers...
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Chapter
Introduction to Bayesian Networks
Reasoning with incomplete and unreliable information is a central characteristic of decision making, for example in industry, medicine and finance. Bayesian networks provide a theoretical framework for dealing...
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Chapter
Toward a Generalized Bayesian Network
The author’s past work in this area has shown that the probability of a state of a Bayesian network, found using the standard Bayesian techniques, could be equated to the Maximum Entropy solution and that this...
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Article
Harnessing microbially generated power on the seafloor
In many marine environments, a voltage gradient exists across the water–sediment interface resulting from sedimentary microbial activity. Here we show that a fuel cell consisting of an anode embedded in marine...
