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Consultancy

Scientio manufacture 'horizontal' products. These are pieces of technology that are useful in a wide range of markets. They are not end-user products in themselves. Our target market is therefore companies who make 'vertical' solutions for a particular marketplace.  These companies know a great deal about that marketplace, but often have no staff who understand AI, text mining, data mining and the other things we do.

We appreciate that this knowledge gap exists, and are happy to fill it by offering consultancy.

Our standard way of working is to discuss the problem with you at no charge. If we establish we can help then we will create a proposal defining what we plan to do, and our estimates of time and resources needed.

if you are happy with the proposal or we can agree changes, we will append this proposal to a simple contract, and this will be enough to start work.

Scientio are also happy to perform more general research if required.

Our expertise is not limited to the products we have on sale. We have an extensive back-catalog of code and work in progress, covering such areas as Genetic Programming, Genetic Algorithms, Neural Networks and Financial technical analysis products.

Scientio's principal researcher is one of the pioneers of Data Mining and Neural Networks, and is the author of a large body of papers in the field. Scientio can therefore also offer expert opinion for legal and arbitration purposes.

Please contact us here to discuss this further. We're happy to talk, and it's free!

 

 Academic papers by Scientio staff

Usingconceptstructures.pdf157 KBIEEE SCIDM 2007 paper - Using Concept Structures for Efficient Document Comparison & Location
On_data_mining_tree_structured_data_in_XML.pdf456 KBOn data mining tree structured data in XML, Andrew N Edmonds, Data mining UK conference, University of Nottingham, Aug 2003
oscpap2.pdf882 KBOscillatory, Stochastic and Deterministically Chaotic Growth Rate Fluctuations in Permittistatically-Controlled Yeast Cultures, Co-author with Institute of Biological Sciences, University of Wales, Biosystems,  39 pp 43-61  1996.
thesis.pdf477 KBTime Series Prediction Using Supervised Learning and Tools from Chaos Theory’, PhD Thesis, University of Bedfordshire
ieeepap2.pdf111 KBGenetic Programming of Fuzzy Logic production rules A.N. Edmonds, IEEE International Conference on Evolutionary Computing, Perth, Nov. 95
NNCM95.pdf255 KBGenetic Programming of Fuzzy Logic Production Rules with Application to Financial Trading. Neural networks in Financial Engineering, pp. 179-188, World Scientific, Nov. 1995
ieeepapr.pdf290 KBSimultaneous prediction of multiple financial time series using Supervised Learning and Chaos Theory, selected for oral presentation. Proceedings of the IEEE WCCI ICNN Orlando, June 1994.

 Academic links

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