The power of our approach lies in the genetic rules, the Hoffleisch’ Algorithm. This set of instructions is an universal and natural algorithm. This set of instructions enables the computer system to autonomously separate content from form, to attribute meaning to a word, to associate it to other things and to classify. The association can be attributed after encountering certain pieces of data or after a certain threshold. This behavior emulates the self-organizing principles of nature.
Each person stores information and views the real world in his or her own representation of the world. Programs with this set of genetic rules can ’see’ through this individual’s view and automatically detect the inherent information pattern and concepts in the entered data. The more data imported and the more interaction with the user, the more knowledge these programs gain. And now, the program also understands associative search (that is that the searching person does not need to search for an exact term). The search can be initiated with terms and nouns which we ourselves would associate with the search term. But searching with an exact term is equally possible and the program suggests terms, which could be associated with it. For example, the program might suggest to “summer” “hotel”, “book a flight”, or “rent a car” (if this terms were in any of the imported data). Programs based on this algorithm detect inherently existing patterns, of which we did not know of before hand and therefore could not even inquire about.
Tap into the wealth of your databases
Is this not what data-mining is supposed to do? To find answers to questions we may not have even thought of? To find patterns and associations? Brainup is ongoing project to unlock the knowledge lurking in our legacy systems, databases, archives, even on our workstations.