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Datamining

(Complete Item Description)

Abstract:: this course will give an introduction to basic datamining techniques. Advanced datamining techniques will be added later. The basic course will teach the theory behind and techniques for datamining. Author encourage the reader of this article to apply the techniques in real life data. The topics author want to cover are resectively clustering, self organizing maps, classification problems, regression tree, support vector machine, neural network, genetic algorithm, simulated anealing

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: Connexions

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Genomics, Computing, Economics, and Society, Fall 2005

(Complete Item Description)

Abstract:: This course will focus on understanding aspects of modern technology displaying exponential growth curves and the impact on global quality of life through a weekly updated class project integrating knowledge and providing practical tools for political and business decision-making concerning new aspects of bioengineering, personalized medicine, genetically modified organisms, and stem cells. Interplays of economic, ethical, ecological, and biophysical modeling will be explored through multi-disciplinary teams of students, and individual brief reports.

Subject:: Science and Technology
Grade Level:: Post-secondary
SubTopics:: Policy and Advocacy , Business & Economics
Collection:: MIT OpenCourseWare

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Bioeconomics Bioengineering Bioethics Bioinformatics Biological Engineering Biophysics Biotechnology Business Classification Clustering Datamining economics Genetically Modified Organisms Genomics Health Policy Health Sciences Human Genome : Informatics modeling Neural Network Personalized Medicine policy Public Policy Regression Tree Self Organizing Map Simulated Anealing society Statistics Stem Cells Support Vector MacHine Systems Biology Development

Conditions of Use

No Strings Attached
Remix and Share
Share Only
Read the Fine Print

No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.

Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.

Your redistributing comes with some restrictions. Do not remix or make derivative works.

Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.

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