Paper Info
Title
What Type of Information and Scheme does the Data Market Need?.
Abstract
In several papers, we have been stressing the importance of curation in chance discovery. In order to build user-firendly guidance, which we call curation, in using KeyGraph, Hatanaka analyzed participant's bahaviour during data analysis using KeyGraph. The result is not the central aim of this paper. It will be reported in the other paper. For the study, he collected various types of data, for instance eye-moving, speaking data etc. In fact, the data were collected for the analysis of user's behaviour. However, if we consider the data market applicaiton, this type of data can be applied to such data market. For the analysis from various perspective, we have collected several types of data. In this paper, we review those data as data types in data market which will become important when we use the data. (C) 2015 The Authors. Published by Elsevier B.V.
Year
DOI
Venue
2015
10.1016/j.procs.2015.08.197
Procedia Computer Science
Keywords
Field
DocType
chance discovery,conversation,key point,key graph
Data science,Data mining,Computer science,Data type,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
60
1877-0509
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Hiroki Hatanaka100.34
Akinori Abe210830.05