Robust rule-based prediction

Robust Recommendation Based On Association Rule Mining

The open nature of collaborative recommender systems present a security problem. Attackers that are indistinguishable from ordinary users may inject biased profiles, degrading the objectivity and accuracy of the system over time. Standard memory-based collaborative filtering algorithms, such as k-nearest neighbor, have been shown quite vulnerable to such attacks. Model-based techniques, includi...

Robust Rule-Based Break Assignment for Russian

This paper introduces a linguistically motivated rule-based method of automatic segmentation of a Russian text in intonational units. We claim that it can provide a high correct prosodic break assignment rate (92.1% junctures correct for spontaneous speech), staying flexible at the same time, which is especially important for rule-based models. The kernel of the proposed algorithm, in addition ...

Stock price prediction using the Chaid rule-based algorithm and particle swarm optimization (pso)

Stock prices in each industry are one of the major issues in the stock market. Given the increasing number of shareholders in the stock market and their attention to the price of different stocks in transactions, the prediction of the stock price trend has become significant. Many people use the share price movement process when com-paring different stocks while investing, and also want to pred...

Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning

Prediction of chronological age based on Demirjian dental age using robust ridge regression method

Introduction: Estimation of age has an important role in legal medicine, endocrine diseases and clinical dentistry. Correspondingly, evaluation of dental development stages is more valuable than tooth erosion. In this research, the modeling of calendar age has been done using new and rich statistical methods. Considerably, it can be considering as a practicable method in medical science that is...