Transactions on Large-Scale Data- and Knowledge-Centered Systems XX: Special Issue on Advanced Techniques for Big Data Management (Lecture Notes in Computer Science)

  • 出版商: Springer
  • 出版日期: 2015-03-31
  • 售價: $2,340
  • 貴賓價: 9.5$2,223
  • 語言: 英文
  • 頁數: 172
  • 裝訂: Paperback
  • ISBN: 366246702X
  • ISBN-13: 9783662467022
  • 相關分類: 大數據 Big-dataComputer-Science
  • 海外代購書籍(需單獨結帳)

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商品描述

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia.

商品描述(中文翻譯)

LNCS期刊《Transactions on Large-Scale Data- and Knowledge-Centered Systems》專注於數據管理、知識發現和知識處理,這些都是計算機科學中的核心和熱門主題。自1990年代以來,互聯網已成為各領域應用開發的主要推動力。對於通過網絡連接的不同站點之間資源共享需求的增加,促使數據和知識管理系統從集中式系統演變為去中心化系統,這使得大規模分佈式應用程序能夠提供高擴展性。目前的去中心化系統仍然將數據和知識作為其主要資源。這些系統的可行性基本上依賴於P2P(點對點)技術和具備擴展性及去中心化控制的代理系統的支持。網格、P2P系統和代理技術之間的協同作用是大規模環境中數據和知識中心系統的關鍵。

本期《Transactions on Large-Scale Data- and Knowledge-Centered Systems》第20期,呈現了一系列具有代表性和實用性的文章,涵蓋了大數據管理先進技術領域中的廣泛重要主題。大數據已成為一個流行術語,用來描述數據的指數增長和可用性。最近計算、網絡、數字設備和數據存儲的激進擴展和整合,為大數據的爆炸性增長提供了一個強大的平台,同時也是生成、處理、共享和分析大數據的手段。一般而言,數據只有在能夠從中提取意義和價值時才有用。大數據發現使數據科學家和其他分析師能夠通過分析大量多樣化的數據來揭示模式和相關性。從大數據發現中獲得的見解可以為企業提供顯著的競爭優勢,從而導致更成功的市場營銷活動、降低客戶流失率和減少詐騙損失。在實踐中,對大規模數據處理和數據分析應用的日益增長的需求促進了來自產業和學術界的新解決方案的發展。