Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools
نویسنده
چکیده
The multistrategy knowledge discovery tool, INLEN, is applied to databases consisting of economic and demographic facts and statistics about the countries of the world. Preliminary experiments focus on discerning andl comparing various.patterns in the status and development of countries in different regions Of the world. These experiments have provided some interesting and often unexpected results, but they are only a beginning in exploring such data. By discovering patterns and exceptions such as the ones presented, domain experts may have new insights into national development patterns, predict future developments in certain countries, or use these discoveries to influence national policies. Users who are not experts in the domain may also make interesting discoveries with INISEN. The results of these initial experiments are presented and future paths of research in this domain are proposed.
منابع مشابه
The Introduction of a Heuristic Mutation Operator to Strengthen the Discovery Component of XCS
The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...
متن کاملThe Introduction of a Heuristic Mutation Operator to Strengthen the Discovery Component of XCS
The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...
متن کاملDrug Discovery Acceleration Using Digital Microfluidic Biochip Architecture and Computer-aided-design Flow
A Digital Microfluidic Biochip (DMFB) offers a promising platform for medical diagnostics, DNA sequencing, Polymerase Chain Reaction (PCR), and drug discovery and development. Conventional Drug discovery procedures require timely and costly manned experiments with a high degree of human errors with no guarantee of success. On the other hand, DMFB can be a great solution for miniaturization, int...
متن کاملDevelopment of Students’ Creativity through Learning Models in Physical Education during the Covid-19 Pandemic
Background. Physical education learning in the era of the COVID-19 pandemic has a remarkable impact on students’ creativity. Objectives. This study aims to determine the effect of applying the inquiry and discovery models in online physical education learning to develop high school students’ creativity. Methods. The multiple treatment and control with the pre and post-test procedure were used...
متن کاملبررسی کاربردهای داده کاوی در نظام سلامت
Introduction: Extensive amounts of data stored in medical databases require the development of specialized tools for accessing the data, data analysis, knowledge discovery, and the effective use of the data. Data mining is one of the most important methods. The article sketches the used Data Mining techniques, and illustrates their applicability to medical diagnostic and prognostic problems. ...
متن کامل