The process of predicting news stories popularity from several news sources has become a challenge of great importance for both news producers and readers. In this paper, we investigate methods for automatically predicting the number of clicks on a news story during one hour. Our approach is a combination of additive regression and bagging applied over a M5P regression tree using a logarithmic ...

This paper describes an approach for detection of the supply unbalance condition in induction motors by using data mining process. Simulation results have shown that a good indicator of the fault is the amplitude of the second harmonic of the supply frequency component (2f) in the signal obtained by the differences in supply current zero crossing instants. In the study, linear regression (LR), ...

Data mining is the invention of knowledge and useful information from the large amounts of data stored in databases. It is referred as an analysis study of the Knowledge discovery in database process or KDD. Data mining tools are used in forecasting future trends and behaviours, allowing businesses to make proactive, knowledge-driven decisions. Classification is an important data mining techniq...

Résumé—This research was triggered by the analysis of performance data of compilers which is highly context-dependent. The output of the compiler and as such the performance of the compiled program varies a lot for different values and ranges of its categorical and continuous parameters. Context-dependence disrupts the functioning of statistical tests for identifying conditional independencies ...

Abstract For developing countries, scarcity of climatic data is the biggest challenge, and model development with limited meteorological input critical importance. In this study, five intelligent hybrid metaheuristic machine learning algorithms, namely additive regression (AR), AR-bagging, AR-random subspace (AR-RSS), AR-M5P, AR-REPTree, were applied to predict monthly mean daily reference evap...

With the increasing adoption of smart factories in manufacturing sites, a large amount raw data is being generated from manufacturers’ sensors and Internet Things devices. In environment, collection reliable has become an important issue. When utilizing collected or establishing production plans based on user-defined data, actual performance may differ established plan. This particularly so whe...

هدف اصلی این پژوهش ارائه چارچوبی برای ارزیابی عملکرد شرکت بهره‌­برداری قطار شهری مشهد بر مبنای کارت امتیازی متوازن و تکنیک تصمیم‌­گیری چندمعیاره (بهترین ـ بدترین فازی) است. حاضر از نظر هدف، کاربردی روش، کمّی اسنادی جمع‌­آوری داده‌های کیفی اساس 15 خبره در طی مقطع زمانی بین سال­‌های 1396 تا 1398 صورت پذیرفت. 9 معیار منظر مالی، 16 مشتریان، 8 فرایند داخلی 14 رشد توسعه یادگیری طریق اسناد پژوهش­‌های پ...