Clustering Process with Time Series Data Stream

Kavitha, V.; Hemashree, P.; Dilip, Hrushika; Elakkiyarasi, K.

doi:10.1007/978-981-13-9282-5_31

V. Kavitha⁷,
P. Hemashree⁷,
Hrushika Dilip⁷ &
…
K. Elakkiyarasi⁷

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 159))

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Abstract

Data stream is an ordered sequence of data objects that can be read only once or a small number of times. The characteristics of data stream are very large, continuous, high dimensional, immeasurable, dynamically high speed, and massive amount of data in offline and also in online, and there is not sufficient time to rescan the entire database. Data stream are required to store vast amounts of data that are continuously inserted and queried. Due to the above features of data stream, obtaining the fruitful information is a critical process. Hence, analyzing huge data sets and extracting valuable pattern in many applications is interesting for researchers.

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Authors and Affiliations

Hindustan College of Arts and Science, Coimbatore, India
V. Kavitha, P. Hemashree, Hrushika Dilip & K. Elakkiyarasi

Authors

V. Kavitha
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P. Hemashree
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Hrushika Dilip
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K. Elakkiyarasi
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Correspondence to V. Kavitha .

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Editors and Affiliations

School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India
Suresh Chandra Satapathy
Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India
Vikrant Bhateja
School of Computer Applications, KIIT University, Bhubaneswar, Odisha, India
J. R. Mohanty
School of Computer and Information Science, University of Hyderabad, Hyderabad, Telangana, India
Siba K. Udgata

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Kavitha, V., Hemashree, P., Dilip, H., Elakkiyarasi, K. (2020). Clustering Process with Time Series Data Stream. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 159. Springer, Singapore. https://doi.org/10.1007/978-981-13-9282-5_31

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DOI: https://doi.org/10.1007/978-981-13-9282-5_31
Published: 27 September 2019
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9281-8
Online ISBN: 978-981-13-9282-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)

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