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I was reading the 2004 edition of "Computer Science Handbook", published by Chapman & All/CRC, in collaboration with the ACM association. It has 2,752 pages, weights 5.8 pounds according to Amazon.com, and has a 56-page index with about 6,000 keywords. Yet naive Bayes and logistic regression are not listed, just to mention 2 popular data mining keywords.
It is incredibly surprising, in the 21-st century, to see that disciplines such as data mining, computer sciences, and statistics appear to be almost totally separated by a wall which in several ways reminds me of the the Berlin Wall.
Integration of techniques from various fields into a common knowledge will be one of the major drivers of scientific progress in the next 20 years.
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PART 2
I have heard very little from anyone else since about uptake of those ideas. An "integration..." project I have been looking at the last couple of years is combining SVG (via its metadata element), MathML, and OWL ontologies (especially ones about mathematics); such that the SVG "picture" can 'understand' the mathematics involved in it. Perhaps a second derivative was involved in calculating the animation of part of the SVG picture. The second derivative in the SVG file is represented by executable computer code which performs the mathematical process. The SVG metadata element for that SVG file could have an id reference to the part of the SVG picture that was animated by the math code and it could also contain an RDF pointer / reference to the entry for 'second derivative' in an (external) OWL mathematics ontology. A Topic Map can conceptually link all these things together. What results is 1) an SVG animation, 2) which uses an executable form of mathematics knowledge [computer programming to perform second derivative calculation], 3) a conceptually linked reference (RDF link and Topic Map) between the animated part and an ontological depiction (in OWL) of the concept 'second derivative'. By applying a reasoner software (Description Logic) to this the computer can 'realize / see' that the motion in the picture is a mathematically based thing, specifically the concept of 'second derivative'. This contrasts with the computer merely dumbly executing code and having no clue about the motion or the mathematical concepts which are part of that motion. Richard's comment about 'integration...' is crucial for development towards real advancement not only in computing but in many other technical endeavours. There still today remain many bastions, silos, protected turfs which prevent rapid progress.
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