Granular computing as a basis of human–data interaction: a cognitive cities use case

The article proposes granular computing as a theoretical, formal and methodological basis for the newly emerging research field of human–data interaction (HDI). We argue that the ability to represent and reason with information granules is a prerequisite for data legibility. As such, it allows for extending the research agenda of HDI to encompass the topic of collective intelligence amplification, which is seen as an opportunity of today’s increasingly pervasive computing environments. As an example of collective intelligence amplification in HDI, we introduce a collaborative urban planning use case in a cognitive city environment and show how an iterative process of user input and human-oriented automated data processing can support collective decision making. As a basis for automated human-oriented data processing, we use the spatial granular calculus of granular geometry.

A Fortran program for computing the pollutant standards index (PSI) /

Mode of access: Internet.

Actuarial values, book gimel : tables for computing depreciation adjustment factors : interest rates from 2.2 percent to 22.0 percent : for income tax purposes only.

"7-1999."

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"This report supersedes BRL report no. 1010 ..."

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"Preprint for a workshop sponsored by NASA Langley Research Center, Hampton, Virginia, and the American Institute of Aeronautics and Astronautics, New York, and held in Hampton, Virginia, November 7-8, 1978."

Computing a perfect strategy for n x [i.e. superscript] n chess requires time exponential in n /

"UILU-ENG 79 1716."

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Thesis--University of Illinois.

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Includes bibliographical references.

Bounds on scheduling algorithms for heterogeneous computing systems /

Includes bibliographical references.