Research Practitioner's Handbook on Big Data Analytics
暫譯: 大數據分析研究實務手冊

Sasikala, S., Kumar, Raghvendra, Devi, D. Renuka

Research Practitioner's Handbook on Big Data Analytics
  • 出版商: Apple Academic Press
  • 出版日期: 2023-05-04
  • 售價: $5,400
  • 貴賓價: 9.5 折 $5,130
  • 語言: 英文
  • 頁數: 292
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1774910527
  • ISBN-13: 9781774910528
  • 相關分類: 大數據 Big-data、Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

With the growing interest in and use of big data analytics in many industries and in many research fields around the globe, this new volume addresses the need for a comprehensive resource on the core concepts of big data analytics along with the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.

The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics.

The last section of the book presents a selection of illustrative case studies that show examples of the use of data analytics in industries such as health care, business, education, and social media.

Research Practitioner's Handbook on Big Data Analytics will be a valuable addition to the libraries of practitioners in data collection in many industries along with research scholars and faculty in the domain of big data analytics. The book can also serve as a handy textbook for courses in data collection, data mining, and big data analytics.

商品描述(中文翻譯)

隨著全球各行各業及研究領域對大數據分析的興趣和使用日益增長，本書針對大數據分析的核心概念以及相關工具、技術和方法論，提供了一個全面的資源。本書以有組織且直接的方式，解釋了大數據分析的原因和方法，並結合理論與實踐的方式進行探討。

本書的作者以系統化的方式組織內容，首先介紹大數據分析的概念和概述，然後深入探討預處理方法、特徵選擇方法和算法、大數據流以及大數據分類等主題。書中討論了如群體智慧（swarm intelligence）、資料探勘（data mining）、蝙蝠算法（bat algorithm）、遺傳算法（genetic algorithms）、大數據流等術語和方法。作者解釋了深度學習（deep learning）和機器學習（machine learning）以及其他方法和工具如何應用於大數據分析中。

本書的最後一部分呈現了一系列示範案例研究，展示了在健康照護、商業、教育和社交媒體等行業中使用數據分析的實例。

《大數據分析研究實務手冊》將成為許多行業數據收集實務者、研究學者及大數據分析領域教職員圖書館中的寶貴資源。本書也可作為數據收集、資料探勘和大數據分析課程的實用教科書。

作者簡介

S. Sasikala, PhD, is Associate Professor and Research Supervisor in the Department of Computer Science, IDE, and Director of Network Operation and Edusat Programs at the University of Madras, Chennai, India. With 23 years of teaching experience, she has held various posts at the university, including Head-in-charge of the Centre for Web-based Learning, Nodal Officer for the UGC Student Redressal Committee, Coordinator for Online Course Development at IDE, and President of the Alumni Association at IDE. Her research interests include imaging, data mining, machine learning, networks, big data, and AI. She has published two books on computer science and published over 27 research articles in leading journals and conference proceedings as well as four book chapters. She has also received best paper awards and women's achievement awards. She is an active reviewer and editorial member for international journals and conferences.

D. Renuka Devi, PhD, is Assistant Professor in the Department of Computer Science, Stella Maris College (Autonomous), Chennai, India. She has 12 years of teaching experience. Her research interests include data mining, machine learning, big data, and AI. She actively participates in continued learning through conferences and professional research. She has published eight research papers and a book chapter in publications from IEEE, Scopus, and Web of Science. She has also presented papers at international conferences and received best paper awards.

Raghvendra Kumar, PhD, is Associate Professor in the Computer Science and Engineering Department at GIET University, India. Dr. Kumar serves as Editor of the book series Internet of Everything: Security and Privacy and the book series Biomedical Engineering: Techniques and Applications (Apple Academic Press). He has published several research papers in international journals and conferences. He has served in many roles for international and national conferences and has authored and edited over 20 computer science books in the field of Internet of Things, data mining, biomedical engineering, big data, robotics, graph theory, and Turing machines.

作者簡介(中文翻譯)

S. Sasikala, PhD 是印度金奈馬德拉斯大學計算機科學系的副教授及研究指導老師，並擔任網路運營及教育衛星計畫的主任。她擁有23年的教學經驗，曾在大學擔任多個職位，包括網路學習中心負責人、UGC學生申訴委員會的聯絡官、IDE在線課程開發協調員，以及IDE校友會會長。她的研究興趣包括影像處理、資料探勘、機器學習、網路、大數據和人工智慧。她已出版兩本計算機科學書籍，並在主要期刊和會議論文集中發表超過27篇研究文章及四個書章。她還獲得最佳論文獎和女性成就獎。她是國際期刊和會議的活躍審稿人及編輯成員。

D. Renuka Devi, PhD 是印度金奈斯特拉瑪麗斯學院（自主）計算機科學系的助理教授。她擁有12年的教學經驗。她的研究興趣包括資料探勘、機器學習、大數據和人工智慧。她積極參加會議和專業研究以持續學習。她已在IEEE、Scopus和Web of Science的出版物中發表八篇研究論文和一個書章。她還在國際會議上發表論文並獲得最佳論文獎。

Raghvendra Kumar, PhD 是印度GIET大學計算機科學與工程系的副教授。Kumar博士擔任《萬物互聯：安全與隱私》及《生物醫學工程：技術與應用》（Apple Academic Press）書系的編輯。他在國際期刊和會議上發表了多篇研究論文，並在國際和國內會議中擔任多個角色，已撰寫和編輯超過20本有關物聯網、資料探勘、生物醫學工程、大數據、機器人學、圖論和圖靈機的計算機科學書籍。

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