OBJECTIVE: The purpose of this study is to identify challenges to inter-departmental
coordination activities that affect patient transfer workflow and to provide socio-technical …

In this paper, we present a Deep Learning-based system for the support of information
triaging on Twitter during emergency situations, such as disasters, or other influential events …

Market and stock exchange news are special messages containing mainly economical and
political information. This paper represents data mining algorithms which has been tested on …

This paper proposes a novel method of image-based fingerprint matching based on the
features extracted by “FingerCode”. The experiments show that our system outperforms the …

In this paper we present our study on language behavior of Twitter users during two kinds of
influential events, namely, natural disasters and political elections. In our study we analyze …

In this report we investigate how much similarity good news and bad news may have in
context of long-terms market trends. We discuss the relation between text mining …

In this contribution we present our experiments with using grammars for text classification.
Approaches usually used are based on statistical methods working with term frequency. We …

The influence of market news to the activeness and behaviour of investors can be reflected
in changes of various market indicators: turnover, number of deals or stock prices. We …

Coordination of distributed activities is central to organizational work. The effective
functioning of organizations hinges on their ability to manage interdependencies both within …

抄録 本稿では意思決定支援を目的としたツイートログの分類基準を提案する. 具体的には,
緊急を要する場合と複雑な意思決定プロセスを伴う場合における 1 次情報, 2 次情報, 1.5 …