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RETRACTED CHAPTER: A Review on Sequential and Non-Overlapping Patterns for Classification

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Gajanan Patle

    (Abha-Gaikwad Patil College of Engineering, Department of Computer Science & Engineering)

  • Sonal S. Mohurle

    (Abha-Gaikwad Patil College of Engineering, Department of Computer Science & Engineering)

  • Kiran Gotmare

    (Abha-Gaikwad Patil College of Engineering, Department of Computer Science & Engineering)

Abstract

Classification is the way toward finding a model or capacity that portrays and recognizes information classes or ideas, to be ready to utilize the model to foresee the class of items whose class mark is obscure. The objective of classification is to precisely foresee the object class for each case in the information. In sequence database having sequences, in which each sequence is a rundown of the exchanges requested by the exchange time. There is exchange time which is related to every exchange in the sequence database. The sequence classification can be characterized as appointing class marks to new sequences dependent on the learning picked up in the preparation organize.

Suggested Citation

  • Gajanan Patle & Sonal S. Mohurle & Kiran Gotmare, 2020. "RETRACTED CHAPTER: A Review on Sequential and Non-Overlapping Patterns for Classification," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1343-1347, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_137
    DOI: 10.1007/978-3-030-41862-5_137
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