Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging (Hardcover)
暫譯: 粗糙模糊模式識別:在生物資訊學與醫學影像中的應用 (精裝版)

Pradipta Maji, Sankar K. Pal

  • 出版商: IEEE
  • 出版日期: 2012-02-14
  • 定價: $3,500
  • 售價: 9.5$3,325
  • 語言: 英文
  • 頁數: 312
  • 裝訂: Hardcover
  • ISBN: 111800440X
  • ISBN-13: 9781118004401
  • 相關分類: 生物資訊 Bioinformatics
  • 立即出貨 (庫存 < 3)

商品描述

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing

Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection.

Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as:

  • Soft computing in pattern recognition and data mining

  • A Mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set

  • Selection of non-redundant and relevant features of real-valued data sets

  • Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis

  • Segmentation of brain MR images for visualization of human tissues

Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.

商品描述(中文翻譯)

學習如何應用粗糙模糊計算技術來解決生物資訊學和醫學影像處理中的問題

本書強調在生物資訊學和醫學影像處理中的應用,提供了一個清晰的框架,使讀者能夠利用最新的粗糙模糊計算技術來建立有效的模式識別模型。作者逐步解釋如何將粗集(rough sets)與模糊集(fuzzy sets)整合,以最佳管理在挖掘大型數據集中的不確定性。各章節根據模式識別系統開發的主要階段進行邏輯組織,使得掌握分類、聚類和特徵選擇等任務變得更加容易。

粗糙模糊模式識別探討了重要的基礎理論以及算法和應用,幫助讀者理解理論與實踐之間的聯繫。第一章介紹了模式識別和數據挖掘,包括處理高維度、現實數據集的主要挑戰。接下來,作者探討了以下主題和問題:



  • 模式識別和數據挖掘中的軟計算




  • 一般化粗集的數學框架,納入模糊性概念以定義顆粒和集合




  • 選擇實值數據集的非冗餘和相關特徵




  • 選擇具有最大信息的最小基字符串集以進行氨基酸序列分析




  • 腦部MR影像的分割以可視化人類組織



大量的例子和案例研究幫助讀者更好地理解模式識別模型是如何在實踐中開發和使用的。本書涵蓋了最新的研究成果以及未來研究的方向,推薦給從事系統設計、模式識別、影像分析、數據挖掘、生物資訊學、軟計算和計算智能的學生和實務工作者。

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