Used by NASA, Boeing, MIT, Columbia, Notre Dame, Mobil Oil, Pfizer, Dean & Company, and many other corporations, universities, research institutes and individuals around the world. Users Speak "I believe that tools like this are definitely the start of something very big in getting a handle on mountains of information." Douglas, Dartmouth Medical School "I was impressed by your description of KnowledgeMiner. Actually it seems to find optimal neural nets - a task I thought was more or less impossible." Christer "I like KnowledgeMiner because its algorithm does not make any assumtions on the underlying data; well, at least not during the initial model-building phase. I also like the fact that it generates sets of equations that the user can review with detailed understanding of the interactions and dependencies of each variable. Also, the algorithm(s) behave surprising well under extreme conditions for certain complex dynamical systems. Congratulations for your excellent work. I was eagerly awaiting the PPC version. Thank you." Alexis, Pfizer Inc.

KnowledgeMiner Self-Organizing Data Mining Welcome to the KnowledgeMiner Site Here you can download KnowledgeMiner, check the background of its unique data mining technologies, investigate a variety of examples, read published scientific papers, join the discussion group, and find links to more information on Self-Organization.  D o w n l o a d Go here to download the entire package.  P u r c h a s e Purchase KnowledgeMiner immediately online via the web.  I n  t h e N e w s 01/22/01 KnowledgeMiner 3.2.1 shipped: maintainance version improved ASCII text import improved management of colored text in the spreadsheet "Self-Organising Data Mining" Book available: eBook (PDF) at this site printed book at your (online) bookshop (ISBN 3-89811-861-4) read comments of Prof. A.G. Ivakhnenko: On the Relation of Data Mining and Knowledge Mining 01/22/01 Conference Call  A b o u t   K n o w l e d g e M i n e r Find out about the KnowledgeMiner package, how to register, investigate examples and find relevant links.  T h e B a c k g r o u n d  Inductive Learning Algorithms: GMDH Neural Networks, Analog Complexing, Fuzzy Rule Induction.  A s k  t h e  E x p e r t s  Get answers to commonly asked questions or send email to our experts. Also, visit the KnowledgeMiner discussion forum.  D a t a M i n i n g/ C o n s u l t i n g  Check out our data mining and consulting services.  R e s u l t s  Read reports, performance results and articles on special items. It is open for KM users to present their work a selected readership. Recent reports: Medical Diagnosis Carcinogenicity Prediction

"I have purchased your program KnowledgeMiner and have had some time to use it. My research is in artificial intelligence applications in clinical medicine at the University of Western Ontario in London, Canada. I have so far used backward error propagation and probalistic ANNs for outcomes based research. I also have some experience with fuzzy decision theory and expert systems. Your program looks interesting and has some advantages over my current modelling software (ie. NeuroSMARTs, Brainmaker and Neuralyst). ... I wish to congratulate you on your very promising software." Wayne, Associate Professor of Medicine, Division of Cardiology, University of Western Ontario, London, Canada	"I'm a physicist by training, working as a radar engineer on some cutting edge target recognition/classification technologies. I am now using KM to circumvent all the past pattern recognition algorithms which have been years (and millions of $) in development by the armed forces. Although I am just now starting to use KM in this application, my initial indications are that KM is providing a more robust,complete and more accurate classification capability than any of the previously used algorithms, and with comparatively no effort on my part" Herb, Vista Technologies, Inc.
"Alpine skiing and athletic french federation have contacted my laboratory to build a profile of their elite athletes. In this case KnowledgeMiner helped me save a lot of time and gave me models on the most important variables, and pointed out the less relevant." Fabrice, Laboratoire de Physiologie, Faculte de Medecine, France	"KnowledgeMiner is the only product that I have found that makes it easy to try non-standard equation formats on a data set. Many standard regression tools are as easy, but they limit you to a small set of potential relationships. KnowledgeMiner combines spreadsheet-like set up with an algorithm that doesn't "over fit" the model. Also, the output is in a readily usable format (e.g. not C++ code)." Ware, Dean & Company
"I would just like to congratulate you on this program on the behalf of Roger Bradbury who did some work on GMDH back in 1988 (Green, D. G., Reichelt, R. E., and Bradbury, R. H. (1988) Statistical Behaviour of the GMDH algorithm. Biometrics 44: 49-69). He is happy that there is a modern version of it - of which we will definitely be purchasing." Belinda, Bureau of Resource Sciences, Australia	"I am Head of Computing and Information Technology at Katikati College, a high school in New Zealand. A couple of weeks ago I attended a big AppleFest at Rotorua with attendees from about 120 different schools. One key speaker delivered a workshop where he named the two big Mac products of 1998, one was Myrmidon and the other one (of course) was KnowledgeMiner. I have downloaded the demo and it appeals to me because of my interest in AI in general and neural nets in particular." John, Katikati College, New Zealand
"Lovely maths and algorithms. Nice and simple product. Feel that it can significantly assist me. Looking forward to understanding it better to put it to real use." Dr. Conrad Mackenzie, Australia

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Date Last Modified: 01/22/01