PhD thesis in computer science discusses building a wisdom model from big data based on the collective intelligence approach

A PhD thesis in the Department of Computer Science at the University of Technology discussed building a wisdom model from big data based on a collective intelligence approach

Wisdom Model Building from Big Data based on Collective Intelligence Approach

The thesis submitted by the student, Esraa Nafeh Mahmoud, aims to extract wisdom from big data without human intervention. Where the research discusses how to reach wisdom in artificial intelligence without human intervention, as a system was built to transform the knowledge extracted from machine learning algorithms into wisdom by identifying and correcting incorrect predictions of machine learning models.

The results prove the ability of the proposed system to extract wisdom through the application of good judgment, which results in reducing the error rate to less than 3%. The results also showed the positive impact of the proposed system on enhancing performance, where the increase in accuracy can reach 14%, and the proposed system reduces the number of incorrectly classified cases, as the percentage of reduction can range from 76% to 100%.

The discussion committee consisted of Prof. Dr. Abdel Moneim Saleh from the University’s Faculty of Knowledge, as chairman, Prof.Dr. Bilal Ismail from the University of Anbar, Prof.Dr. Hana Mohsen, Dr. Rehab Falih from the University of Technology, and .Dr. Enas Muhammad from Al-Mustansiriya University, members. Dr. Hassanein Samir, supervisor of the University of Technology.