{"product_id":"9783032061782","title":"Studies in Big Data","description":"\u003ch1\u003eStudies in Big Data\u003c\/h1\u003e \u003ch2\u003eNguyen, Hien Thu Thi; Phan, Hai Hong; Huynh, Van-Nam\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world.\u003cbr\u003eWith chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting.\u003cbr\u003eThis book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-02-05\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783032061782\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-032-06179-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 378\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44408301748364,"sku":"9783032061782","price":179.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032061782_f3ded5b9-fa1e-49fd-b9f0-b900f7986e7f.jpg?v=1772928987","url":"https:\/\/lateknightbooks.com\/products\/9783032061782","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}