Titlebook: Advanced Computing and Communication Technologies; Proceedings of the 1 Ramesh K. Choudhary,Jyotsna Kumar Mandal,Dhananjay Conference proce

eulogize

Bumble

Towards a New Historical Sociology?ata. Extracting user interested documents from this gigantic amount of text data is a tedious job. This necessitates the development of text mining method for discovering interesting information or knowledge from the massive data. Document clustering is an effective text mining method which classifi

談判

愚蠢人

Ibrahim Alabid,Karl-Heinz Kogelbeen adapted and improvised time and time again in search for an optimal modeling approach. One recent variant has taken the world of learning-related problems by storm, by giving the most accurate solutions to most of them, it is called eXtreme GBM. The paper evaluates eXtreme GBM in the context of

Mortar

https://doi.org/10.1007/978-3-319-42319-7P) has led to the application of machine learning algorithms for building defect classification models using software metrics and defect proneness as the independent and dependent variables, respectively. This work performs an empirical comparison of the two classification methods: support vector ma

catagen

Signaling and Communication in Plantso the unintelligent form to protect from vulnerability. A new approach based on random selection of crossover operation and mutation to secure the digital images is proposed. It comprises three different stages. In the first stage, three different crossover operations namely, one point, two points a

DECRY

熟練

morale

Injunction

J. D. Lewis,R. B. Thomas,B. R. Strainomes more complex. Forensic pattern mining is a technique that deals with mining of the forensic patterns from forensic pattern warehouse in support of forensic investigation and analysis of the causes of occurrence of an event. But, sometimes those patterns do not provide certain analytical results