Data Science and Big Data: An Environment of Computational Intelligence
Herausgeber: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)
Vorschau- Discusses implementations and case studies
- Identifies the best design practices
- Assesses data analytics business models and practices in industry, health care, administration and business
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This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.
- Inhaltsverzeichnis (12 Kapitel)
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Large-Scale Clustering Algorithms
Seiten 3-28
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On High Dimensional Searching Spaces and Learning Methods
Seiten 29-48
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Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification
Seiten 49-81
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Online Anomaly Detection in Big Data: The First Line of Defense Against Intruders
Seiten 83-107
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Developing Modified Classifier for Big Data Paradigm: An Approach Through Bio-Inspired Soft Computing
Seiten 109-122
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Inhaltsverzeichnis (12 Kapitel)
- Download Vorwort 1 PDF (39.1 KB)
- Download Probeseiten 2 PDF (479.9 KB)
- Download Inhaltsverzeichnis PDF (53.6 KB)
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Bibliografische Information
- Bibliographic Information
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- Buchtitel
- Data Science and Big Data: An Environment of Computational Intelligence
- Herausgeber
-
- Witold Pedrycz
- Shyi-Ming Chen
- Titel der Buchreihe
- Studies in Big Data
- Buchreihen Band
- 24
- Copyright
- 2017
- Verlag
- Springer International Publishing
- Copyright Inhaber
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-53474-9
- DOI
- 10.1007/978-3-319-53474-9
- Hardcover ISBN
- 978-3-319-53473-2
- Softcover ISBN
- 978-3-319-85162-4
- Buchreihen ISSN
- 2197-6503
- Auflage
- 1
- Seitenzahl
- VIII, 303
- Anzahl der Bilder
- 21 schwarz-weiß Abbildungen, 80 Abbildungen in Farbe
- Themen
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