Danyel Fisher – författare
301 kr
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734 kr
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This book provides an overview of interfaces to social information spaces, illustrated by several contemporary systems including Usenet News and CoWebs. Beginning with a general outline of those systems and a history of Usenet News, it looks at the problems of exploring virtual communities and distributed information systems, and of finding information in electronic environments. It outlines the successes and failures of traditional approaches like information filtering, collaborative filtering and information retrieval, and assesses new approaches such as visualisations of social processes and social navigation.
Among the key questions covered are: - What aspects of an online group are important to its participants? - How can the specific characteristics of a social information space be used to improve the design of the interface?
From Usenet to CoWebs will be essential reading for practitioners working on information spaces, conferencing systems, virtual communities and innovative interfaces to information spaces. It will also provide useful background reading for anyone studying or researching in these areas.
413 kr
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You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.
When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.
You’ll learn:
The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualizationThe role that visual representations play in data discoveryCommon visualization types by the tasks they fulfill and the data they useVisualization techniques that use multiple views and interaction to support analysis of large, complex data sets
412 kr
Läs direkt efter köp
You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you’re a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.
When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.
You’ll learn:
The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualizationThe role that visual representations play in data discoveryCommon visualization types by the tasks they fulfill and the data they useVisualization techniques that use multiple views and interaction to support analysis of large, complex data sets
542 kr
Skickas inom 10-15 vardagar