Frontiers in data science
著者
書誌事項
Frontiers in data science
(Chapman & Hall/CRC big data series)(A Chapman & Hall book)
CRC Press, c2018
大学図書館所蔵 全7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
Includes bibliographical references and index
内容説明・目次
内容説明
Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.
目次
Preface. Generalized optimal wavelet decomposing algorithm for big financial data. How 'big data' can make big impact: Findings from a systematic review and a longitudinal case study. Data Science and Big Data: current state and future opportunities. Legal Aspects of Information Science, Data Science and Big Data. Between two hypes: FORZA Digital forensics investigation framework that incorporate legal issues. Application of big data in Intelligent Transportation. Legal and policy aspects of space situational awareness. Causation, probability and all that - Data Science as a novel kind of inductive methodology. Preprocessing in big data: new challenges for discretization and feature selection. The impact of Big Data on making evidence-based decisions. Living in a big data world: Predicting mobile commerce activity through privacy concerns. Privacy as virtue: The negative and the positive obligations of the state. Beyond the hype: Big data concepts, methods, and analytics. Recommendation System for Designing Education Courses: A Data Science Perspective. Between two hypes: Will big data help unravel blind spots in understanding the global land rush?
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