Big data in complex systems : challenges and opportunities
著者
書誌事項
Big data in complex systems : challenges and opportunities
(Studies in big data, v. 9)
Springer, c2015
- : hbk
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Other author: Ahmad Taher Azar, Vaclav Snasel, Janusz Kacprzyk, Jemal H. Abawajy
Includes bibliographical references and author index
内容説明・目次
内容説明
This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.
目次
Cloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead.- Big Data Movement: a Challenge in Data Processing.- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data.- Stream Clustering Algorithms: A Primer.- Cross Language Duplicate Record Detection in Big Data.- A Novel Hybridized Rough Set And Improved Harmony Search Based Feature Selection For Protein Sequence Classification.- Autonomic Discovery of News Evolvement in Twitter.- Hybrid Tolerance Rough Set based Intelligent Approaches for Social Tagging Systems.- Exploitation Of Healthcare Databases In Anesthesiology And Surgical Care For Comparing Comorbidity Indexes In Cholecystectomized Patients.- Sickness Absence And Record Linkage Using Primary Healthcare, Hospital And Occupational Databases.- Classification of ECG Cardiac Arrhythmias using Bijective Soft Set.- Semantic Geographic Space: from Big Data to Ecosystems of Data .- DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer.- Data Quality, Analytics, and Privacy in Big Data.- Search, analysis and visual comparison of massive and heterogeneous data: Application in the medical field .- Modified Soft Rough set based ECG signal Classification for Cardiac arrhythmias.- Towards a new architecture for the description and manipulation of large distributed data.
「Nielsen BookData」 より