Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII: Special Issue on Big Data Analytics and Knowledge Discovery (Lecture Notes in Computer Science)
- 出版商: Springer
- 出版日期: 2017-08-10
- 售價: $2,380
- 貴賓價: 9.5 折 $2,261
- 語言: 英文
- 頁數: 124
- 裝訂: Paperback
- ISBN: 3662556073
- ISBN-13: 9783662556078
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相關分類:
大數據 Big-data、Computer-Science、Data Science
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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 volume, the 32nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Big Data Analytics and Knowledge Discovery, and contains extended and revised versions of five papers selected from the 17th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, during September 1-4, 2015. The five papers focus on the exact detection of information leakage, the binary shapelet transform for multiclass time series classification, a discrimination-aware association rule classifier for decision support (DAAR), new word detection and tagging on Chinese Twitter, and on-demand snapshot maintenance in data warehouses using incremental ETL pipelines, respectively.discovery,="" contains="" extended="" revised="" versions="" five="" papers="" selected="" from="" 17th="" international="" conference="" discovery="" (dawak="" 2015),="" held="" in="" valencia,="" spain,="" during="" september="" 1-4,="" 2015.="" focus="" exact="" detection="" information="" leakage,="" binary="" shapelet="" transform="" for="" multiclass="" time="" series="" classification,="" a="" discrimination-aware="" association="" rule="" classifier="" decision="" support="" (daar),="" new="" word="" tagging="" chinese="" twitter,="" on-demand="" snapshot="" maintenance="" warehouses="" using="" incremental="" etl="" pipelines,="" respectively.
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。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。
本卷是《Transactions on Large-Scale Data- and Knowledge-Centered Systems》的第32期,專注於大數據分析和知識發現,包含了從2015年9月1日至4日在西班牙瓦倫西亞舉行的第17屆國際大數據分析與知識發現會議(DaWaK 2015)中選出的五篇論文的擴展和修訂版本。這五篇論文分別聚焦於信息洩漏的精確檢測、多類時間序列分類的二元形狀轉換、用於決策支持的考慮歧視的關聯規則分類器(DAAR)、在中文Twitter上進行的新詞檢測和標記,以及使用增量ETL管道在數據倉庫中進行按需快照維護。