Data Science and Visual Computing
暫譯: 數據科學與視覺計算
Earnshaw, Rae, Dill, John, Kasik, David
- 出版商: Springer
- 出版日期: 2019-08-24
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 108
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030243664
- ISBN-13: 9783030243661
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as astronomy, bioinformatics, engineering, science, medicine, social science, business, and the humanities. The range and volume of data sources has increased enormously over time, particularly those generating real-time data. This has posed additional challenges for data management and data analysis of the data and effective representation and display. A wide range of application areas are able to benefit from the latest visual tools and facilities. Rapid analysis is needed in areas where immediate decisions need to be made. Such areas include weather forecasting, the stock exchange, and security threats. In areas where the volume of data being produced far exceeds the current capacity to analyze all of it, attention is being focussed how best to address these challenges.
Optimum ways of addressing large data sets across a variety of disciplines have led to the formation of national and institutional Data Science Institutes and Centers. Being driven by national priority, they are able to attract support for research and development within their organizations and institutions to bring together interdisciplinary expertise to address a wide variety of problems. Visual computing is a set of tools and methodologies that utilize 2D and 3D images to extract information from data. Such methods include data analysis, simulation, and interactive exploration. These are analyzed and discussed.
商品描述(中文翻譯)
資料科學旨在從大量數據中提取知識和信息,這些數據通常來自於各種學科的即時來源,例如天文學、生物信息學、工程學、科學、醫學、社會科學、商業和人文學科。隨著時間的推移,數據來源的範圍和數量大幅增加,特別是那些生成即時數據的來源。這對數據管理和數據分析以及有效的表示和顯示提出了額外的挑戰。各種應用領域都能夠受益於最新的視覺工具和設施。在需要立即做出決策的領域,快速分析是必需的。這些領域包括天氣預報、股票交易和安全威脅。在數據產量遠超過當前分析能力的領域,專注於如何最好地解決這些挑戰。
針對各種學科的大型數據集的最佳解決方案促成了國家和機構數據科學研究所和中心的成立。這些機構受到國家優先事項的驅動,能夠吸引支持其組織和機構內的研究與開發,將跨學科的專業知識聚集在一起,以解決各種問題。視覺計算是一組利用2D和3D圖像從數據中提取信息的工具和方法論。這些方法包括數據分析、模擬和互動探索。這些方法將被分析和討論。
作者簡介
Professor John DillProfessor Emeritus John Dill came to Simon Fraser University (SFU), Canada, from a senior position in industry in 1987. He joined the School of Interactive Arts and Technology from SFU's School of Engineering Science in 2005, has worked in Computer Graphics, Computer-Aided Design, Information Visualization, Human-Computer Interaction and, most recently, Visual Analytics (VA). Dill was a member of the US National Visual Analytics Center panel that defined VA and developed the "VA Bible" Illuminating the Path. With colleagues Fisher, Darvill, Popowich and Rensink, he initiated efforts to establish VA in Canada, and, using a directed gift from The Boeing Company, established the SFU-based Vancouver Institute for Visual Analytics, a joint Simon Fraser University/University of British Columbia effort. VIVA has since established a national center, CANVAC, and an industrial consortium, VARDEC, mandated to fund and conduct applied VA research in Canada. His primary VA research has been co-developing (with Rob Woodbury and Chris Shaw) the CZSaw text analytics system. He received the IEEE Computer Society 2016 Visualization Career Award.
Mr David J. KasikDavid Kasik retired as Boeing's Senior Technical Fellow in visualization and interactive techniques. He developed computer-aided design software, 3D viewing software, and pioneered the use of visual analytics. His work in CAD led to efficient ways to generate non-uniform rational b-spline surfaces and solids. The viewing software led to massive model visualization systems that let people view over a billion geometric polygons on commodity software. Visual analytics helps extract more information from complex non-geometric data. All three capabilities are applied across the complete product lifecycle, areas as diverse as safety and marketing. Dave earned his Masters degree in Computer Science from the University of Colorado in 1972 and a Bachelor's in Quantitative Studies from the Johns Hopkins University in 1970. He is an ACM Fellow, an IEEE Distinguished Scientist, and stays involved in professional activities with both ACM and IEEE. In 2012 he received the ACM SIGGRAPH Outstanding Service Award.
作者簡介(中文翻譯)
雷教授 (Rae Earnshaw) 雷·恩肖自1995年以來擔任英國布拉德福德大學電子影像學教授(現為名譽教授)。他在利茲大學獲得博士學位,並且是特許工程師及特許資訊科技專業人士。他曾擔任資訊學院院長(1999-2007)及副校長(戰略系統發展)(2004-09)。他曾在美國伊利諾伊理工學院、喬治華盛頓大學及中國西北工業大學擔任訪問教授。他是ACM、IEEE、CGS的成員,並且是英國計算機學會及物理學會的院士。他著作及編輯了40本有關計算機圖形學、視覺化、多媒體、設計及虛擬實境的書籍,並在這些領域發表了超過200篇論文。出版商包括:Addison Wesley、Springer、Academic Press、劍橋大學出版社、IEEE計算機學會出版社及約翰威利與兒子公司。儘管在過去20年中在學術領導和管理方面扮演了重要角色,他仍然保持著研究和出版的紀錄。他是布拉德福德大學視覺計算中心的成員,該中心在視覺影像數據處理領域進行世界級的研究和開發。
約翰·迪爾教授 (John Dill) 名譽教授約翰·迪爾於1987年從工業界的高級職位來到加拿大西門菲莎大學(SFU)。他於2005年從SFU的工程科學學院加入互動藝術與科技學院,並在計算機圖形學、計算機輔助設計、資訊視覺化、人機互動及最近的視覺分析(VA)等領域工作。迪爾是美國國家視覺分析中心小組的成員,該小組定義了VA並開發了《VA聖經》Illuminating the Path。與同事Fisher、Darvill、Popowich和Rensink合作,他發起了在加拿大建立VA的努力,並利用波音公司的定向捐贈,成立了以SFU為基地的溫哥華視覺分析研究所,這是一個西門菲莎大學與不列顛哥倫比亞大學的聯合努力。VIVA隨後建立了國家中心CANVAC和工業聯盟VARDEC,負責資助和進行加拿大的應用VA研究。他的主要VA研究是與Rob Woodbury和Chris Shaw共同開發CZSaw文本分析系統。他於2016年獲得IEEE計算機學會視覺化職業獎。
大衛·卡西克先生 (David J. Kasik) 大衛·卡西克退休前是波音公司的高級技術研究員,專注於視覺化和互動技術。他開發了計算機輔助設計軟體、3D視覺化軟體,並開創了視覺分析的使用。他在CAD方面的工作導致了生成非均勻有理B樣條曲面和實體的高效方法。視覺化軟體導致了大型模型視覺化系統,讓人們能在商業軟體上查看超過十億個幾何多邊形。視覺分析有助於從複雜的非幾何數據中提取更多信息。這三種能力應用於整個產品生命周期,涵蓋安全和市場營銷等多個領域。大衛於1972年在科羅拉多大學獲得計算機科學碩士學位,並於1970年在約翰霍普金斯大學獲得定量研究學士學位。他是ACM院士、IEEE傑出科學家,並持續參與ACM和IEEE的專業活動。2012年,他獲得ACM SIGGRAPH傑出服務獎。