STATE OF ART OF MACHINE LEARNING FOR STREAMING DATA

Ramesh Marpu; Dr. Bairam Manjula

STATE OF ART OF MACHINE LEARNING FOR STREAMING DATA

Authors: Ramesh Marpu, Dr. Bairam Manjula

Unique Paper ID: 162067
Volume: 9
Issue: 7
PageNo: 935-946

Keywords: No Keywords Found

Abstract:
The era of big data has given rise to an unprecedented influx of streaming data, generated continuously and in real-time from various sources such as social media, sensors, and IoT devices. Traditional machine learning algorithms designed for static datasets face significant challenges when applied to streaming data due to its dynamic and evolving nature. This research paper explores the paradigm of machine learning for streaming data, focusing on adaptive techniques that can handle the continuous and high-velocity flow of information.Various adaptive machine learning techniques are reviewed, including online learning algorithms, incremental learning, and concept drift detection methods. The paper provides a comprehensive overview of how these methods enable models to evolve and adapt in real-time, ensuring their relevance in dynamic environments. Additionally, the paper explores emerging technologies and frameworks that facilitate the implementation of adaptive machine learning for streaming data, such as Apache Flink, Apache Storm, and online learning libraries. The challenges associated with deploying these techniques in real-world scenarios, such as resource constraints and scalability, are also addressed. In conclusion, this research paper contributes to the ongoing discourse on machine learning for streaming data by presenting a comprehensive overview of adaptive techniques and their applications.

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 9
Issue: 7
PageNo: 935-946

STATE OF ART OF MACHINE LEARNING FOR STREAMING DATA

Available:https://ijirt.org/Article?manuscript=162067

22 Aug, 2024

DESIGN OF ANN AND ANFIS CONTROLLER BASED UPFC EMBEDDED WITH THREE LEVEL CASCADED H BRIDGE INVERTER WITH SPWM TECHNIQUE FOR FAST RESTORATION OF POWER FOLLOWING SEVERE TRANSIENT CONDITIONS ON TRANSMISSION LINES

21 Aug, 2024

ANALYZING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT

20 Aug, 2024

INTERNATIONAL MARKETING UNVEILED: KEY FACTORS, INDIAN STANDARDS, COMPARATIVE STRATEGIES, AND PATHWAYS TO GLOBAL SUCCESS

16 Aug, 2024

ANALYSIS ON THE ECONOMIC BENEFITS OF SUSTAINABLE PRACTICES IN ENHANCING WEALTH CREATION AND EQUITABLE RESOURCE DISTRIBUTION

15 Aug, 2024

INTEGRATED MANAGEMENT STRATEGIES FOR ALTERNARIA BLIGHT IN MUSTARD: A COMPREHENSIVE REVIEW

13 Aug, 2024

AGILE HR PRACTICES: ADAPTING THE STRATEGIES & RAPIDLY CHANGING BUSSINESS ENVIRONMENT

10 Aug, 2024

IMPACT OF MOBILE BANKING ON EXPANSION OF BANKING SERVICES

07 Aug, 2024

PREDICTIVE MODEL-BASED SELECTION OF DEEP NEURAL NETWORKS FOR EMBEDDED IMAGE CLASSIFICATION

31 Jul, 2024

OPTIMAL CAPITAL STRUCTURE DETERMINATION: ASSESSING THE IMPACT ON FINANCIAL PERFORMANCE OF BSE LISTED COMPANIES ACROSS IGAAP AND IND AS PERIODS

31 Jul, 2024

INTEGRATED MANAGEMENT STRATEGIES FOR ALTERNARIA BLIGHT IN MUSTARD: A COMPREHENSIVE REVIEW

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry