Using the features of functional programming for parallel building of decision trees

Kholod, Ivan; Rodionov, Sergey; Тарасов, К. А.; Malov, Alexei

doi:10.1109/eiconrus.2017.7910587

2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) 2017

DOI: 10.1109/eiconrus.2017.7910587

|View full text |Cite

Using the features of functional programming for parallel building of decision trees

Ivan Kholod

Sergey Rodionov

К. А. Тарасов

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Classification Algorithms and Dataflow Implementation

2022

Advances in Systems Analysis, Software Engineering, and High Performance Computing

View full text Add to dashboard Cite

The implementation of data mining methods on dataflow computers enables an easy use of parallelism, but it also faces numerous obstacles. The problem underlying the impossibility of using currently developed algorithms in their existing form is their adaptation to von Neumann computer model, which assumes sequential calculations and intensive use of memory. This is one of the reasons why there are no fully developed classification algorithms on dataflow computer models in the open literature at the moment when this text is written. This chapter summarizes the characteristics that can be used as directions in the future construction of algorithms and outlines drafts for two implementations of the K-nearest neighbor algorithm.

show abstract

Classification Algorithms and Dataflow Implementation

2022

Advances in Systems Analysis, Software Engineering, and High Performance Computing

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Using the features of functional programming for parallel building of decision trees

Cited by 1 publication

References 4 publications

Classification Algorithms and Dataflow Implementation

Classification Algorithms and Dataflow Implementation

Contact Info

Product

Resources

About