Categories for mining and objective world

It was Kant who pointed out that sensuous contact with the objective world did not of itself constitute experience, since without forms through which the sensuous contact with the world can be rationally understood, there can be no experience.

For example, a person totally untrained in geology learns nothing geological from a geological expedition.

The problem which Kant was unable to solve was the source of these categories which made possible the rational cognition of Experience. While recognising that it was the objective world beyond sensation which was the source of sensation, he restricted knowledge to the “possible objects of experience” and with the later positivists, rejected the possibility of knowledge of that “thing-in-itself” beyond experience.

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See the journal French Metablog with today different posts

Absolute Mining

Hegel defines the Absolute Idea as the “unity of the Theoretical Idea and the Practical Idea".

The Theoretical Idea is the completed Notion or concrete concept of the world or object; the Practical Idea is the activity expressing this concept (practice); the unity of the two means fully “conscious practice”, people acting in true accord with their own nature.

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See that post with different algorithms in metabole

See the journal French Metablog with today different posts

Reality Mining

Reality mining explores a huge dataset on individual & group human behavior by capturing communication, proximity, location, & activity information from 100 subjects at MIT.

Several different interactive visualizations have been implemented to represent this huge, time-based dataset (approximately 350,000 hours or ~40 years of continious data on call logs, bluetooth devices in proximity, cell tower IDs, application usage, & phone status such as charging/idle).

So where's the value here? Taking the high road, MIT researchers say that you can use this sort of data to understand how organizational dynamics happen at work. You could streamline workflows and improve interoffice dynamics. As one example of reality mining, the Red Sox won the pennant during the study -- and the smartphones noted that it threw all the participants' behaviors into a tizzy. That reminds me of back during the first gulf war--Desert Storm--news outlets discovered that whenever Pentagon staffers stayed late and ordered lots of delivery pizza, something big was about to happen in the Middle East. So it sounds like we can think of Reality Mining as an automated way to collect intelligence about our lives through tell-tale signs like phone calls to pizza delivery restaurants.

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See that post with different algorithms in metabole

See the journal French Metablog with today different posts

Data mining and hypertextual material

An immediate goal of text data mining is to construct synopses of the hypertextual material: summaries of the topics which are covered by the texts in data base according to criteria defined by the scriptor.

Another goal is to identify salient points: concise lists of different topics, if possible in order of importance, adjustable in depth.An important goal is also taxonomy (keywords in the data base): determination of the topics in the documents which are (or should be) of interest to the reader. This is to be followed by classification: the grouping of documents containing different topics, either as defined by the scriptor, or as defined by the information content.

The most valuable help for the hypertextual reader consists of the identification of dependencies of the different topics on each other, especially of unexpected relationships.

Download ebooks on http://www.frenchtheory.com/
See that post with different algorithms in metabole
See the journal French Metablog with today different posts