the program system for data analysis “recognition (loreg)” yu.i. zhuravlev, v.v. ryazanov, o.v....
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OGRW Program systems Program systems offered at the market - Statistical packets STATISTICA SPSS STADIA Forecast Expert - Neural networks and methods based on AI BrainMaker NeuriShell Reasoning by precedents KATE tools WizWhyTRANSCRIPT
The Program System For Data Analysis The Program System For Data Analysis “RECOGNITION (LOREG)”“RECOGNITION (LOREG)”
Yu.I. Zhuravlev, V.V. Ryazanov, O.V. Senko, A.S. Biryukov, D.P. Vetrov, Yu.I. Zhuravlev, V.V. Ryazanov, O.V. Senko, A.S. Biryukov, D.P. Vetrov, A.A. Dokukin, N.N. Katerinochkina, D.A. Kropotov, A.S. Obukhov, A.A. Dokukin, N.N. Katerinochkina, D.A. Kropotov, A.S. Obukhov,
M.Yu. Romanov, I.V. Ryazanov, F.B. ChelnokovM.Yu. Romanov, I.V. Ryazanov, F.B. Chelnokov
Moscow, RussiaMoscow, Russia
Center of analysis and forecasting technologies SOLUTIONS LTD.Center of analysis and forecasting technologies SOLUTIONS LTD.www.solutions-center.ruwww.solutions-center.ru
Dorodnicyn Computing Centre of The Russian Academy of SciencesDorodnicyn Computing Centre of The Russian Academy of Scienceswww.ccas.ru
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Whom it may concern?
Potential program users
Specialists in application fields
Experts in pattern recognition
• Medicine• Economics• Sociology
• Physics• Biology• Others
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Program systems
Program systems offered at the market- Statistical packets
• STATISTICA• SPSS• STADIA• Forecast Expert
- Neural networks and methods based on AI• BrainMaker• NeuriShell• Reasoning by precedents KATE tools• WizWhy
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System requirements
Idea of universality- Possibility of application to maximum variety of different
types of tasks in a sense of dimension, type, quality and data structure, calculating values
Idea of intellectuality- Presence of autotuning elements and availability of
successful solving of tasks by unqualified person
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Possibilities of the system
- Joint realization of different recognition and clusterization methods
- Construction of collective solutions
- Modern-style user friendly graphical interface
- Unification of user interface of different methods
- Visual presentation of the data and results of training
- Presentation of reports on training and classification in the unified handy manner
- Automatic training, ready to use scenarios of training
- Methods for training quality estimation
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Product structure
Engine
GUI
Readers
Teachers
Method 1
Method 2
Method N
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The methods in the system
Recognition methods- Q nearest neighbours
- Linear Fisher discriminant
- Linear machines
- Multilayer perceptron
- Test algorithm Clusterization methods
- K-means
- Iterative optimization
- Hierarchy grouping Methods of collective solutions Methods of sample visualization, feature
selection, feature weights estimation etc.
- Support vector machine
- Methods of statistically weighted syndromes
- Estimation evaluation algorithm
- Logical regularities
- Method of local optimization
- Genetic algorithm for cluster analysis
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Appearance
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Future work
Future work- Upgrading existing methods- Make a forecasting block of methods- Upgrading user scenarios
- Something else?
Contacts
Center of analysis and forecasting technologies SOLUTIONS LTD. Tel: +7(095)135-62-38 Http: www.solutions-center.ru Fax: +7(095)135-61-59 E-mail: [email protected]
ResearcherResearcherDmitry A. Kropotov E-mail: [email protected]
General DirectorGeneral DirectorVladimir V. RyazanovE-mail: [email protected], [email protected]