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Great op-ed in The New York Times on why the NSA's data mining efforts won't work, by Jonathan Farley, math professor at Harvard. ... If this argument is correct why do we think that the NSA has the math skills to crack very difficult cryptography but cannot handle other pattern matching problems?
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www.schneier.com/blog/archives/2006/05/the_problems_wi....
www.schneier.com/blog/archives/2006/05/the_problems_wi.html
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One of the key issues raised by data mining technology is not a business or technological one, but a social one. It is the issue of individual privacy. Data mining makes it possible to analyze routine business transactions and glean a significant amount of information about individuals buying habits and preferences.
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www.anderson.ucla.edu/faculty/jason.frand/teacher/techn...
www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/issues.htm
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10 Challenging Problems in Data Mining Research ... In October 2005, we took an initiative to identify 10 challenging problems in data mining research, by consulting some of the most active researchers in data mining and machine learning for their opinions on what are considered important and worthy topics for future...
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www.cs.uvm.edu/~icdm/10Problems/index.shtml
www.cs.uvm.edu/~icdm/10Problems/index.shtml
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How exactly is data mining able to tell you important things that you didn't know or what is going to happen next? The technique that is used to perform these feats in data mining is called modeling. Modeling is simply the act of building ...
http://www.thearling.com/text/dmwhite/dmwhite.htm
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rdfs:label Data Mining Problems in Medicine. (xsd:string) ... dc:subject data mining, medicine, coronary artery disease, data bank (xsd:string)
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dblp.l3s.de/d2r/resource/publications/conf/cbms/Groselj...
dblp.l3s.de/d2r/resource/publications/conf/cbms/Groselj02
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Home | Example Publications ... Generated by D2R Server ... rdfs:label Using ant colonies to solve data-mining problems. (xsd:string)
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dblp.l3s.de/d2r/resource/publications/conf/smc/AdmaneBK...
dblp.l3s.de/d2r/resource/publications/conf/smc/AdmaneBKDGH04
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Abstract: Although most data mining (DM) models are complex and general in nature, the implementation of such models in specific environments us often subject to practical constraints (e.g. budget constraints) or thresholds (e.g. only mail to customers with an expected profit higher than ... Questions or problems?
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econpapers.repec.org/paper/rugrugwps/05_2F298.htm
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Knowledge Discovery in Databases (KDD) or Data Mining, and the part of Machine Learning (ML) dealing with learning from examples overlap in the algorithms used and the problems addressed.
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www.pcc.qub.ac.uk/tec/courses/datamining/stu_notes/dm_b...
www.pcc.qub.ac.uk/tec/courses/datamining/stu_notes/dm_book_2.html
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This introduction is based on many collective years of experience by the authors, which has led to a focus on practical issues that must be addressed to successfully solve data mining problems.
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www.amazon.com/gp/product/product-description/013095083...
www.amazon.com/gp/product/product-description/0130950831
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