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Image Web Crawler Towards Machine Learning

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Proceedings of Integrated Intelligence Enable Networks and Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

In today’s world, we have tremendous amount of data in the world of Web. This data is present in the various places or Web sites in the forms of hyperlink and URL. Web crawler is used as full text search engine which helps to navigate the Web text. They can also be used for the image/media search. So, in this work, we have developed a Web crawler which extracts data and takes care of the IP address of host and produces crawling results; all the top ranked results will be displayed to the user.

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References

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Author information

Authors and Affiliations

  1. Department of CSE, MIET, Meerut, India

    Vijay Kumar Sharma, Vimal Kumar, Naman Malik & Rachit Arora

  2. Department of ECE, MIET, Meerut, India

    Shashwat Pathak

Authors
  1. Vijay Kumar Sharma
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  2. Vimal Kumar
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  3. Shashwat Pathak
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  4. Naman Malik
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  5. Rachit Arora
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Corresponding author

Correspondence to Vijay Kumar Sharma .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Govind Ballabh Pant Institute of Engineering & Technology, Pauri Garhwal, Uttarakhand, India

    Krishan Kant Singh Mer

  2. Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India

    Vijay Bhaskar Semwal

  3. Department of Electronics and Communication, Institute of Technology Gopeshwar, Gopeshwar, India

    Vishwanath Bijalwan

  4. Universidad Internacional de La Rioja, Logroño, Spain

    Rubén González Crespo

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sharma, V.K., Kumar, V., Pathak, S., Malik, N., Arora, R. (2021). Image Web Crawler Towards Machine Learning. In: Singh Mer, K.K., Semwal, V.B., Bijalwan, V., Crespo, R.G. (eds) Proceedings of Integrated Intelligence Enable Networks and Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6307-6_94

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