We consider the problem of selecting the articles of experts' interest from a literature database with the assistance of a machine learning system. For this purpose, we propose the rough reading strategy which combines the experts' knowledge with the machine learning system. For the articles converted through the rough reading strategy, we employ the learning system BONSAI and apply it for disc...

The recent pandemic forced companies to switch working from home, which was necessary maintain health and economic efficiency. move physical workplaces virtual in the digital space, however, started earlier than pandemic. amplified this process. In parallel, we also see that have had positive experiences process of creating workplaces. workplace has serious IT-issues, attempt reflect on. Some e...

This paper identifies and explores regulatory issues that may have an impact on the use of flexibility services by distribution utilities to solve grid constraints. can be done flexible distributed energy resources which instructed, for instance, reduce export generating capacity or increasing consumption. We want identify how regulation better support development future utility in its role as ...

from the perspective of experts, custom as moral rules binding takesplace in source of law. however, clarify its position in constitutional lawneeds to know history of custom presence in basic documents which governon human societies. known dividing constitutions into two main categories,codified and customary, only will be clarified part of the extensive.because above division, as many experts...

Rules are extracted from the DIMLP neural network in polynomial time with respect to the size of the classification problem and the size of the network. With rules is possible to ask how well do inferences made compare with knowledge and heuristics of experts. Although fidelity of generated rules from the training set is 100%, perfect fidelity on new unknown data samples is not guaranteed. In t...

in this paper, it’s been tried to examine the legalframework of self-regulatory organizations in iran and the us’scapital markets and to clarify this matter in iran and the us (as theinnovator of self-regulation method in some way for setting rules andregulations), with emphasis on laws and practices. to achieve thispurpose, we analyzed this matter from the most important angles;therefore, in t...

Outlier Mining has always attract much attention among the data mining community. This paper discusses on the discovery of meaningful outlier detection based on Non_Reduct computation by incorporating the Negative Association Rules. Non_Reduct computation is proposed to detect outliers from rare classes. These outliers may have meaningful knowledge having incorporating the concept of Negatives ...