{"product_id":"9781441993793","title":"Advances in Database Systems","description":"\u003ch1\u003eAdvances in Database Systems\u003c\/h1\u003e \u003ch2\u003eHua, Ming; Pei, Jian\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eUncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eRanking Queries on Uncertain Data\u003c\/i\u003e discusses the motivations\/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. \u003ci\u003eRanking Queries on Uncertain Data\u003c\/i\u003e is the first book to systematically discuss the problem of ranking queries on uncertain data.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2011-04-12\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9781441993793\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4419-9380-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 224\u003c\/p\u003e ","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":45548259180684,"sku":"9781441993793","price":143.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781441993793.jpg?v=1777980505","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781441993793","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}