Intelligent agents and data mining for cognitive systems

2004 ◽  
Vol 5 (3) ◽  
pp. 169-170 ◽  
Author(s):  
Ning Zhong ◽  
Jiming Liu ◽  
Ron Sun
Author(s):  
Efthimia Mavridou ◽  
Dimitrios Tzovaras ◽  
Evangelos Beakiaris ◽  
Pavlos Spanidis ◽  
Maria Gemou ◽  
...  

2007 ◽  
Vol 20 (8) ◽  
pp. 1097-1111 ◽  
Author(s):  
Andreas L. Symeonidis ◽  
Kyriakos C. Chatzidimitriou ◽  
Ioannis N. Athanasiadis ◽  
Pericles A. Mitkas

Author(s):  
Anastasia Evgenievna Kvyatkovskaya ◽  
Anna Olegovna Polumordvinova ◽  
Irina Yurievna Kvyatkovskaya ◽  
Elena Vitalievna Chertina

The paper deals with developing information technology of data processing for solving business valuation problems based on the selection of comparative companies. An emerging IT company or a startup are taken as the object of study, for which traditional valuation methods are not apt. In terms of the research task there has been introduced the concept of a precedent - a company for which the search of analogues is being realized. The basic concepts of multi-agent systems are used. Four types of intelligent agents are presented that provide the implementation of the elements of the end-to-end technology: information search of objects with specified properties, intelligent processing of user requests, monitoring of objects, data mining. Stage sequence of the distributed decision-making technology has been considered. There are given metric and non-metric information processing mechanisms about analogues using metrics and proximity measures. The problem of non-metric information processing has been formulated. The tasks of data mining analysis have been defined, which are vital for monitoring the IT-companies in order to evaluate the business. The presented conclusions are summarized in the form of a complex information technology of data processing.


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