Social Data Analytics

Beheshti, Amin, Ghodratnama, Samira, Elahi, Mehdi

Social Data Analytics
  • 出版商: CRC
  • 出版日期: 2022-08-01
  • 售價: $6,620
  • 貴賓價: 9.5 折 $6,289
  • 語言: 英文
  • 頁數: 238
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032196270
  • ISBN-13: 9781032196275
  • 相關分類: Data Science

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商品描述

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.

商品描述(中文翻譯)

這本書是關於社交數據分析的介紹，介紹了在大數據和人工智能時代的挑戰和機遇。它主要關注組織、整理、處理、分析和可視化大型社交數據的概念、技術和方法，從文本到圖像和視頻分析。它提供了使用社交數據進行故事講述的新技術，以促進知識和事實的發現。本書涵蓋了大量的知識，將幫助從業人員和研究人員理解現代社交數據分析中涉及的基本概念、問題、方法、工具和技術。它還提供了社交數據分析的實際應用，包括銷售和營銷、影響力最大化、情境意識、客戶成功和分割以及行業的性能分析。它通過全面分類當前研究狀態、深入描述技術和方法，並突出未來研究方向，提供了深入的社交數據分析知識。講師們可以從中選擇豐富的教材，適用於各種課程，從數據科學的本科課程到數據分析的研究生課程。

作者簡介

Amin Beheshti is Full Professor of Data Science and the Director of AI-enabled Processes Research Centre at Macquarie University, Sydney, Australia. Amin is also the head of the Data Analytics Research Lab and Adjunct Academic in Computer Science at UNSW Sydney. Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at UNSW Sydney and holds both a master's and bachelor's degree in Computer Science, both with First Class Honours. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. Amin has contributed to many research and industry projects, and currently leading over 20 large research projects with highprofile companies. He is the leading author of several books in data, social, and process analytics, co-authored with other high-profile researchers.

Samira Ghodratnama is Senior Applied Machine Learning Scientist at Grainger Technology Group, USA, working on real-world problems related to Natural Language Processing (NLP). She is also a research fellow at Macquarie University, Sydney, Australia and Arizona State University, USA, working on complex research problems in the area of text mining, machine learning, and information extraction. Samira has extensive experience building data-centric applications. She holds a Ph.D. in Computer Science from Macquarie University, Sydney, Australia.

Mehdi Elahi is Associate Professor at the University of Bergen, Norway and Adjunct Professor at the Norwegian School of Economics, one of the leading business schools in Europe. He also holds an Honorary Associate Professor position at Macquarie University, Sydney, Australia. He is a co-author and WP-Leader of a large-scale SFI project (budget: 26 Million Euro), where he collaborates with the largest international industry players in the Media sector in Norway. Mehdi obtained his Ph.D. degree in Computer Science. His research has mainly focused on AI, Data Science, and Cognitive Science and their potential industrial applications such as recommendation and personalization systems.

Helia Farhood is Research Fellow in Data Science at Macquarie University, Sydney, Australia. Helia holds a Ph.D. in Computer Systems and Artificial Intelligence (AI) from the University of Technology Sydney (UTS), Sydney, Australia. She also holds a master's degree in Artificial Intelligence and a bachelor's degree in Computer Engineering with First Class Honours. Helia has extensive experience in Image and Video Processing, and her Ph.D. research focused on 3D reconstruction using light field technology. Helia's research interests include AI, Machine Learning, and Image Processing.

作者簡介(中文翻譯)

Amin Beheshti是澳洲悉尼麥覺理大學的數據科學全職教授，也是AI-enabled Processes研究中心的主任。Amin還是UNSW悉尼的計算機科學兼職學術人員，同時也是數據分析研究實驗室的負責人。Amin在UNSW悉尼完成了計算機科學和工程的博士和博士後研究，並擁有計算機科學的碩士和學士學位，兩者均獲得一等榮譽。Amin被譽為大數據/數據/流程分析領域的高質量研究人員，並擔任過頂級國際會議的主題演講嘉賓、總主席、程序委員會主席、組織委員會主席和程序委員會成員。Amin參與了許多研究和工業項目，目前領導著與知名公司合作的20多個大型研究項目。他是與其他知名研究人員合著的數據、社交和流程分析領域的幾本書的主要作者。

Samira Ghodratnama是美國Grainger Technology Group的高級應用機器學習科學家，致力於自然語言處理（NLP）相關的實際問題。她還是澳洲悉尼麥覺理大學和美國亞利桑那州立大學的研究員，從事文本挖掘、機器學習和信息提取領域的複雜研究問題。Samira在構建以數據為中心的應用程序方面擁有豐富的經驗。她擁有澳洲悉尼麥覺理大學的計算機科學博士學位。

Mehdi Elahi是挪威卑爾根大學的副教授，也是歐洲領先的挪威經濟學院的兼職教授。他還擁有澳洲悉尼麥覺理大學的名譽副教授職位。他是一個大型SFI項目（預算：2600萬歐元）的合著者和工作包負責人，在該項目中與挪威媒體行業的最大國際企業合作。Mehdi獲得了計算機科學博士學位。他的研究主要集中在人工智能、數據科學和認知科學以及推薦和個性化系統等潛在工業應用領域。

Helia Farhood是澳洲悉尼麥覺理大學的數據科學研究員。Helia擁有澳洲悉尼科技大學的計算機系統和人工智能（AI）博士學位。她還擁有人工智能的碩士學位和計算機工程的學士學位，兩者均獲得一等榮譽。Helia在圖像和視頻處理方面擁有豐富的經驗，她的博士研究主要集中在使用光場技術進行3D重建。Helia的研究興趣包括人工智能、機器學習和圖像處理。

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