Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Mastering Data-Intensive Collaboration And Decision Making: Research And Practical Applications In The Dicode ProjectISBN13:9783319026114ISBN10:3319026119Author:Karacapilidis, Nikos (Editor)Description:This Book Reports On Cutting-Edge Research Carried Out Within The Context Of The Eu-Funded Dicode Project, Which Aims At Facilitating And Augmenting Collaboration And Decision Making In Data-Intensive And Cognitively Complex Settings Whenever Appropriate, Dicode Builds On Prominent High-Performance Computing Paradigms And Large Data Processing Technologies To Meaningfully Search, Analyze, And Aggregate Data From Diverse, Extremely Large And Rapidly Evolving Sources The Dicode Approach And Services Are Fully Explained And Particular Emphasis Is Placed On Deepening Insights Regarding The Exploitation Of Big Data, As Well As On Collaboration And Issues Relating To Sense-Making Support Building On Current Advances, The Solution Developed In The Dicode Project Brings Together The Reasoning Capabilities Of Both The Machine And Humans It Can Be Viewed As An Innovative Workbench Incorporating And Orchestrating A Set Of Interoperable Services That Reduce The Data Intensiveness And Complexity Overload At Critical Decision Points To A Manageable Level, Thus Permitting Stakeholders To Be More Productive And Effective In Their Work Practices Binding:Hardcover, HardcoverPublisher:SpringerPublication Date:2014-04-17Weight:1.13 lbsDimensions:0.56'' H x 9.21'' L x 6.14'' WNumber of Pages:226Language:English
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Book Title: Mastering Data-Intensive Collaboration And Decision Making: ...
Item Length: 9.3in
Item Width: 6.1in
Author: Nikos Karacapilidis
Publication Name: Mastering Data-Intensive Collaboration and Decision Making : Research and Practical Applications in the Dicode Project
Format: Hardcover
Language: English
Publisher: Springer International Publishing A&G
Series: Studies in Big Data Ser.
Publication Year: 2014
Type: Textbook
Item Weight: 169.1 Oz
Number of Pages: X, 226 Pages