Identifying Non-pulsar Radiation and Predicting Chess Endgame Result Using ARSkNN

Yash Agarwal, Ashish Kumar, Roheet Bhatnagar, Sumit Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We are currently living in a data age. Due to the expansion of Internet of Things platform, there has been an upsurge in the number of devices connected to the Internet. Every device, ranging from smart sensors and smart phones to systems installed in manufacturing units, hospitals and vehicles is generating data. Such developments have not only escalated the generation of data but also created a need for analysis of raw data to identify patterns. Thus, data mining techniques are being deployed extensively to extract information. The accuracy and effectiveness of data mining techniques in providing better outcomes and cost-effective methods in various domains has already been established. Usually, in supervised learning, distance estimation is used by instance-based learning classifiers like kNN. In this analysis, the regular kNN classifier has been compared with ARSkNN which instead of following the conventional procedure of distance estimation uses the mass estimation approach. ARSkNN has been proved to be commensurate (or superior) to kNN in accuracy and has been found to reduce the computation time drastically on datasets chosen for this analysis.

Original languageEnglish
Title of host publicationSmart Systems and IoT
Subtitle of host publicationInnovations in Computing - Proceeding of SSIC 2019
EditorsArun K. Somani, Rajveer Singh Shekhawat, Vivek Kumar Verma, Ankit Mundra, Sumit Srivastava
PublisherSpringer Paris
Pages691-700
Number of pages10
ISBN (Print)9789811384059
DOIs
Publication statusPublished - 01-01-2020
Externally publishedYes
Event2nd International Conference on Smart IoT Systems: Innovations and Computing, SSIC 2019 - Jaipur, India
Duration: 18-01-201920-01-2019

Publication series

NameSmart Innovation, Systems and Technologies
Volume141
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference2nd International Conference on Smart IoT Systems: Innovations and Computing, SSIC 2019
CountryIndia
CityJaipur
Period18-01-1920-01-19

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All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Agarwal, Y., Kumar, A., Bhatnagar, R., & Srivastava, S. (2020). Identifying Non-pulsar Radiation and Predicting Chess Endgame Result Using ARSkNN. In A. K. Somani, R. S. Shekhawat, V. K. Verma, A. Mundra, & S. Srivastava (Eds.), Smart Systems and IoT: Innovations in Computing - Proceeding of SSIC 2019 (pp. 691-700). (Smart Innovation, Systems and Technologies; Vol. 141). Springer Paris. https://doi.org/10.1007/978-981-13-8406-6_65