Artificial Intelligence and Data Mining Approaches in Security Frameworks (Hardcover)
暫譯: 安全框架中的人工智慧與資料探勘方法 (精裝版)

Bhargava, Neeraj, Bhargava, Ritu, Rathore, Pramod Singh

Artificial Intelligence and Data Mining Approaches in Security Frameworks (Hardcover)
  • 出版商: Wiley
  • 出版日期: 2021-08-24
  • 售價: $2,050
  • 貴賓價: 9.8 折 $2,009
  • 語言: 英文
  • 頁數: 320
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119760402
  • ISBN-13: 9781119760405
  • 相關分類: 人工智慧、Data-mining、資訊安全

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相關主題

商品描述

Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to Artificial Intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalize security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and Data Mining and several other computing technologies to deploy such system in an effective manner.

This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice.

This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library.

商品描述(中文翻譯)

人工智慧（AI）和資料探勘是計算機科學中增長最快的領域。AI 和資料探勘的演算法和技術在不同領域中被發現是有用的，例如模式識別、自動威脅檢測、自動問題解決、視覺識別、詐騙檢測、檢測兒童發展遲緩等多種應用。然而，成功地在這些領域應用 AI 和資料探勘技術或演算法需要協同努力，促進來自資料科學到人工智慧等不同學科專家的整合研究。成功應用安全框架以實現有意義、具成本效益的個性化安全服務是當今工程師和研究人員的主要目標。然而，實現這一目標需要有效理解、應用和融合 AI 和資料探勘以及其他多種計算技術，以有效地部署這樣的系統。

本書提供了在這些領域中人工智慧和資料探勘的最先進方法。它涵蓋了檢測、預測以及未來框架識別、開發、構建服務系統和分析方面。在所有這些主題中，AI 和資料探勘的應用，如人工神經網絡、模糊邏輯、遺傳演算法和混合機制，均有詳細解釋和探討。本書旨在對高效安全框架系統的建模和性能預測進行深入探討，為理論和實踐帶來新的維度。

這本開創性的全新著作介紹了這些主題和趨勢，彌補了 AI 和資料探勘研究之間的空白，以促進大規模實施。無論是資深工程師還是學生，這本書都是任何圖書館必備的資料。

作者簡介

Neeraj Bhargava, PhD, is a professorand head of the Department of Computer Science at Maharshi Dayanand Saraswati University in Ajmer, India, having earned his doctorate from the University of Rajasthan, Jaipur in India. He has over 30 years of teaching experience at the university level and has contributed to numerous books throughout his career. He has also published over 100 papers in scientific and technical journals and has been an organizing chair on over 15 scientific conferences. His work on face recognition and fingerprint recognition is often cited in other research and is well-known all over the world.

Ritu Bhargava, PhD, is an assistant professor in the Department of Computer Science at Sophia Girls College in Ajmer, India, having earned her PhD in computer science from Hemchandracharya North Gujarat University Patan, Gujarat, India. She has more than 15 years of active teaching and research experience and has contributed to three books and more than 30 papers in scientific and technical journals. She has also been an organizing chair on over 15 scientific conferences, and, like her colleague, her work on face recognition and fingerprint recognition is well-known and often cited.

Pramod Singh Rathore, MTech, is an assistant professor at the Aryabhatta College of Engineering and Research Center and visiting faculty member at MDSU in Ajmer, India. He is a PhD in computer science and engineering at the University of Engineering and Management and already has eight years of teaching experience and over 45 papers in scientific and technical journals. He has also co-authored and edited numerous books.

Rashmi Agrawal, PhD, is a professor in the Department of Computer Applications at the Manav Rachna International Institude of Research and Studies in Faridabad, India with more than 18 years of teaching experience. She is a book series editor and the associate editor on a scientific journal on data science and the internet of things. She has published many research papers in scientific and technical journals in these areas and contributed multiple chapters to numerous books. She is currently guiding PhD students and is an active reviewer and editorial board member of various journals.

作者簡介(中文翻譯)

Neeraj Bhargava, PhD 是印度阿傑梅爾的馬哈希·達亞南德·薩拉斯瓦蒂大學計算機科學系的教授及系主任，他在印度齋浦爾的拉賈斯坦大學獲得博士學位。他在大學教學方面擁有超過30年的經驗，並在其職業生涯中為多本書籍做出了貢獻。他還在科學和技術期刊上發表了超過100篇論文，並擔任了超過15個科學會議的組織主席。他在面部識別和指紋識別方面的研究經常被其他研究引用，並在全球廣為人知。

Ritu Bhargava, PhD 是印度阿傑梅爾的索非亞女子學院計算機科學系的助理教授，她在印度古吉拉特邦的亨昌德拉查里亞北古吉拉特大學獲得計算機科學博士學位。她擁有超過15年的活躍教學和研究經驗，並為三本書籍和超過30篇科學和技術期刊論文做出了貢獻。她也曾擔任超過15個科學會議的組織主席，與她的同事一樣，她在面部識別和指紋識別方面的研究廣為人知並經常被引用。

Pramod Singh Rathore, MTech 是阿利亞巴塔工程與研究中心的助理教授，並在印度阿傑梅爾的MDSU擔任訪問教員。他在工程與管理大學獲得計算機科學與工程博士學位，並擁有八年的教學經驗以及在科學和技術期刊上發表的超過45篇論文。他還共同編寫和編輯了多本書籍。

Rashmi Agrawal, PhD 是印度法里達巴德的馬納夫·拉奇納國際研究與學院計算機應用系的教授，擁有超過18年的教學經驗。她是數據科學和物聯網科學期刊的書籍系列編輯和副編輯。她在這些領域的科學和技術期刊上發表了許多研究論文，並為多本書籍貢獻了多個章節。她目前正在指導博士生，並且是多個期刊的活躍審稿人和編輯委員會成員。

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