Konu "Data mining" için Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 7, listelenen: 1-7
-
Analysis of traffic accidents with fuzzy and crisp data mining techniques to identify factors affecting injury severity
(IOS Press, 2022)Injury severity in motor vehicle traffic accidents is determined by a number of factors including driver, vehicle, and environment. Airbag deployment, vehicle speed, manner of collusion, atmospheric and light conditions, ... -
Assessment of corporate innovation capability with a data-mining approach: industrial case studies
(Elsevier, 2016)The interest in assessment of innovation capability of manufacturing systems is fueled by the growing competition. At this time, there is no generally accepted model to evaluate innovation capability of manufacturing ... -
Data clustering using leaders and followers optimization and differential evolution
(Elsevier, 2022)Data clustering is an important research topic in data mining. Although cluster analysis based on optimization algorithms has attracted great attention, optimization-based techniques face difficul-ties due to the non-linear ... -
Data-driven-based fuzzy control system design for a hybrid electric vehicle
(Springer, 2023)A well-designed energy management system plays a crucial role in increasing fuel efficiency and reducing polluting emissions in dual-power hybrid electric vehicles (HEVs), which are an intermediate stage in the transition ... -
Privacy preserving classification over differentially private data
(Wiley, 2021)Privacy preserving data classification is an important research area in data mining field. The goal of a privacy preserving classification algorithm is to protect the sensitive information as much as possible, while providing ... -
Privacy preserving rule-based classifier using modified artificial bee colony algorithm
(Elsevier, 2021)Privacy preserving data mining is a hot research field of data mining. The aim of privacy preserving data mining is to prevent the leakage of the sensitive information of individuals while performing data mining techniques. ... -
Retail analytics: store segmentation using Rule-Based Purchasing behavior analysis
(Taylor and Francis, 2021)Retailers are facing challenges in making sense of the significant amount of data available for a better understanding of their customers. While retail analytics plays an increasingly important role in successful retailing ...