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Download the fantastic book titled Data Complexity in Pattern Recognition written by Mitra Basu, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Complexity in Pattern Recognition", which was released on 22 December 2006. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Data Complexity in Pattern Recognition by Mitra Basu PDF

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.


Detail About Data Complexity in Pattern Recognition PDF

  • Author : Mitra Basu
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 309 pages
  • ISBN : 1846281725
  • PDF File Size : 50,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Data Complexity in Pattern Recognition

Data Complexity in Pattern Recognition
  • Publisher : Springer Science & Business Media
  • File Size : 53,5 Mb
  • Release Date : 22 December 2006
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Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing

Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining
  • Publisher : CRC Press
  • File Size : 52,7 Mb
  • Release Date : 27 May 2004
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Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case

Pattern Recognition

Pattern Recognition
  • Publisher : John Wiley & Sons
  • File Size : 23,8 Mb
  • Release Date : 09 February 2018
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A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced

PATTERN RECOGNITION

PATTERN RECOGNITION
  • Publisher : MileStone Research Publications
  • File Size : 33,5 Mb
  • Release Date : 01 August 2021
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This book covers the primary and supportive topics on pattern recognition with respect to beginners understand-ability. The aspects of pattern recognition is value added with an introductory of machine learning

Pattern Recognition and Data Mining

Pattern Recognition and Data Mining
  • Publisher : Springer Science & Business Media
  • File Size : 43,8 Mb
  • Release Date : 18 August 2005
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The two volume set LNCS 3686 and LNCS 3687 constitutes the refereed proceedings of the Third International Conference on Advances in Pattern Recognition, ICAPR 2005, held in Bath, UK in August 2005. The papers

Pattern Recognition And Big Data

Pattern Recognition And Big Data
  • Publisher : World Scientific
  • File Size : 31,7 Mb
  • Release Date : 15 December 2016
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Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies,

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
  • Publisher : Springer Nature
  • File Size : 22,8 Mb
  • Release Date : 25 November 2019
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The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised

Applied Pattern Recognition

Applied Pattern Recognition
  • Publisher : Springer
  • File Size : 22,9 Mb
  • Release Date : 02 September 2009
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A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short