Scalable Pattern Recognition Algorithms -Bookswagon
Scalable Pattern Recognition Algorithms

Scalable Pattern Recognition Algorithms


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About the Book

Introduction to Pattern Recognition and Bioinformatics

Part I Classification

Neural Network Tree for Identification of Splice Junction and Protein Coding Region in DNA

Design of String Kernel to Predict Protein Functional Sites Using Kernel-Based Classifiers

Part II Feature Selection

Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules

f -Information Measures for Selection of Discriminative Genes from Microarray Data

Identification of Disease Genes Using Gene Expression and Protein-Protein Interaction Data

Rough Sets for Insilico Identification of Differentially Expressed miRNAs

Part III Clustering

Grouping Functionally Similar Genes from Microarray Data Using Rough-Fuzzy Clustering

Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classification

Possibilistic Biclustering for Discovering Value-Coherent Overlapping d -Biclusters

Fuzzy Measures and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images


About the Author:

Dr. Pradipta Maji is an Associate Professor in the Machine Intelligence Unit at the Indian Statistical Institute, Kolkata, India. Dr. Sushmita Paul is a Research Associate at the same institution.


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Product Details
  • ISBN-13: 9783319379654
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: Softcover reprint of the original 1st ed. 2014
  • Language: English
  • Returnable: Y
  • Spine Width: 18 mm
  • Weight: 512 gr
  • ISBN-10: 3319379658
  • Publisher Date: 23 Aug 2016
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 304
  • Series Title: English
  • Sub Title: Applications in Computational Biology and Bioinformatics
  • Width: 156 mm


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