Business and Consumer Analytics: New Ideas
暫譯: 商業與消費者分析：新思維
Moscato, Pablo, de Vries, Natalie Jane
- 出版商: Springer
- 出版日期: 2019-06-13
- 售價: $14,830
- 貴賓價: 9.5 折 $14,089
- 語言: 英文
- 頁數: 1005
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 303006221X
- ISBN-13: 9783030062217
海外代購書籍(需單獨結帳)
商品描述
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies.
The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields.
Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services.
Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
商品描述(中文翻譯)
這本兩卷本的手冊呈現了一系列新穎的方法論，並在數據驅動的計算社會科學領域中提供應用和示例。整本手冊專注於商業和消費者導向的應用，涵蓋了從聚類和網絡分析、元分析、模因算法、機器學習、推薦系統方法論、平行模式挖掘和數據挖掘到市場細分、旅遊、時尚或娛樂分析等特定應用的有趣部分。對於任何對數據分析、行銷、行為建模和計算社會科學感興趣的人來說，這是一本必讀的書籍，尤其是對於最新的計算機科學方法論應用。
各章節由相關領域的領先專家撰寫。這些章節涵蓋了不同層次的技術方面，其中一些是入門級的，可以用於教學。一些章節旨在建立對方法論和最近應用領域的共同理解，包括核心問題複雜性的新理論結果的介紹。商業和行銷專業人士可以利用這本書來熟悉數據科學的一些重要基礎。這部作品是建立不同領域專業人士和研究人員之間開放對話的良好起點。
這兩卷本共同呈現了商業和客戶分析中的多個新方向，強調服務的個性化、新數學模型的發展以及應用於該領域挑戰性問題的新算法、啟發式和元啟發式方法。書中的某些章節包含入門材料，並涵蓋更具體和高級的主題，使這些卷本可以作為高級教科書使用。第一卷的主題包括聚類、鄰近圖、模式挖掘、頻繁項集挖掘、特徵工程、網絡和社區檢測、基於網絡的推薦系統和可視化。第二卷調查了模因算法及其在商業分析和數據科學中的應用；還討論了團隊定向、競爭性設施選址和產品與消費者的可視化應用。第二卷還包括對元分析的介紹，以及時尚和旅遊分析的應用領域。總體而言，這兩卷本有助於描述一些基本概念，作為不同學科之間的橋樑，並呈現出在快速發展的領域中結合強大優化技術和新數學模型的關鍵結果，這對於服務的個性化至關重要。
在商業分析、數據科學、運籌學和行銷領域工作的學者和專業人士會發現這本手冊作為參考資料非常有價值。學習這些領域的學生會發現這本手冊作為輔助教科書非常有用和幫助。
作者簡介
Pablo Moscato is co-director of HMRI's Information Based Medicine research program.
He obtained his Bachelor of Science degree from the University of La Plata in Argentina before completing a PhD at the University of Campinas in Brazil. During a postdoctoral position at the California Institute of Technology, he developed a new methodology called 'memetic algorithms' which is now widely used around the world.
Pablo Moscato has made several key advances in personalised medicine over the past 27 years of his career including identifying important biomarkers and hallmarks of cancer and epilepsy. He has also identified gene expression maps for multiple sclerosis and developed algorithms for successfully discovering biomarkers for Alzheimer's disease with high accuracy for predicting the onset of the disease, which was previously thought to be a disease somewhat precarious to predict.Pablor Moscato has won several prestigious awards including the best paper award at the First European Workshop in Evolutionary Computation and Bioinformatics and has also been an invited keynote speaker at numerous scientific conferences including the Metaheuristics International Conference in Singapore and the Congress of the Chilean Institute of Operations Research in 2011. He has successfully supervised more than 13 PhD candidates to completion and is currently supervising another 12 candidates enrolled at the University of Newcastle. Pablo Moscato has also gained more than $11 million in project grant funding over the past 15 years.Pablo Moscato is an Australian Research Council (ARC) Future Fellow and Founding Director of the University of Newcastle's Priority Research Centre (PRC) for Bioinformatics, Biomarker Discovery and Information-Based Medicine and also the Newcastle Bioinformatics Initiative.
Natalie de Vries is a Conjoint Research Fellow of the University of Newcastle, Australia and a Business Consultant for Atos; a French multinational IT service and consulting company. She holds a B.Com in Economics, a B.Bus in International Business and Marketing and a first-class Honours thesis in Marketing at the University of Newcastle. She has worked at the University's Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-Based medicine (CIBM), which was later re-branded as the group of Life and Economy Applications of Data Science (LEADS). Here she conducted interdisciplinary research with computer scientists in the field of computational social science and she was in charge of the centre's outgoing communications to the general and online community and engaged with private donors of the centre.
Natalie's research publications encompass computational social science, marketing, online consumer behaviour, social media, clustering, network analytics and related areas. In her consultancy work she focuses on digital transformation projects, AI and analytics projects and implementations in the retail and telecom sectors.
作者簡介(中文翻譯)
巴布羅·莫斯卡托（Pablo Moscato）是HMRI資訊基礎醫學研究計畫的共同主任。他在阿根廷拉普拉塔大學獲得理學士學位，之後在巴西坎皮納斯大學完成博士學位。在加州理工學院的博士後研究期間，他開發了一種名為「模因演算法」（memetic algorithms）的新方法，該方法現在在全球廣泛使用。
在過去27年的職業生涯中，巴布羅·莫斯卡托在個性化醫學方面取得了幾項重要進展，包括識別癌症和癲癇的重要生物標記和特徵。他還為多發性硬化症識別了基因表達圖，並開發了高準確度的演算法，成功發現阿茲海默症的生物標記，這些標記能有效預測該疾病的發作，這在之前被認為是一種相對難以預測的疾病。
巴布羅·莫斯卡托獲得了多項著名獎項，包括在第一屆歐洲進化計算與生物資訊研討會上獲得最佳論文獎，並且曾在多個科學會議上擔任受邀主題演講者，包括新加坡的元啟發式國際會議和2011年智利運籌學會議。他成功指導了超過13名博士候選人完成學位，並目前正在指導另外12名在新卡斯爾大學註冊的候選人。在過去15年中，巴布羅·莫斯卡托還獲得了超過1100萬美元的專案補助金。
巴布羅·莫斯卡托是澳大利亞研究委員會（ARC）未來研究員，並且是新卡斯爾大學生物資訊學、生物標記發現和資訊基礎醫學優先研究中心（PRC）的創始主任，以及新卡斯爾生物資訊學倡議的創始人。
娜塔莉·德·弗里斯（Natalie de Vries）是澳大利亞新卡斯爾大學的聯合研究員，並且是法國跨國IT服務和諮詢公司Atos的商業顧問。她擁有經濟學的商業學士學位、國際商務與行銷的商業學士學位，以及在新卡斯爾大學的行銷一級榮譽論文。她曾在該大學的生物資訊學、生物標記發現和資訊基礎醫學優先研究中心（CIBM）工作，該中心後來重新品牌為數據科學的生命與經濟應用小組（LEADS）。在這裡，她與計算社會科學領域的計算機科學家進行跨學科研究，並負責該中心對外的溝通，與社會大眾和在線社區互動，並與該中心的私人捐助者進行交流。
娜塔莉的研究出版物涵蓋計算社會科學、行銷、在線消費者行為、社交媒體、聚類、網絡分析及相關領域。在她的顧問工作中，她專注於數位轉型專案、人工智慧和分析專案，以及在零售和電信行業的實施。
