Process mining is a growing and promising study area focused on understanding processes and to help capture the more significant findings during real execution rather than, those methods that, only observed idealized process model. The objective of this article is to map the active research topics of process mining and their main publishers by country, periodicals, and conferences. We also extract the reported application studies and classify these by exploration domains or industry segments that are taking advantage of this technique. The applied research method was systematic mapping, which began with 3713 articles. After applying the exclusion criteria, 1278 articles were selected for review. In this article, an overview regarding process mining is presented, the main research topics are identified, followed by identification of the most applied process mining algorithms, and finally application domains among different business segments are reported on. It is possible to observe that the most active research topics are associated with the process discovery algorithms, followed by conformance checking, and architecture and tools improvements. In application domains, the segments with major case studies are healthcare followed by information and communication technology, manufacturing, education, finance, and logistics.

Process mining techniques and applications – A systematic mapping study

Agent-based Internet of Things: State-of-the-art and research challenges

Wearable IoT data stream traceability in a distributed health information system

Background: Twitter is the most popular microblog platform. Individuals, companies, organizations, and even governments use Twitter on a daily bases and get vast benefits from it. Twitter also has been valuable for the tourism sector, especially in developing business strategies, planning and studying tourist decision-making processes. Objectives: Goal of the paper is to identify the trends, patterns and the research gaps of the research focusing on the Twitter usage in tourism. Methods/Approach: A bibliometric analysis was conducted in order to identify significant authors, journals, and institutions who engaged in the research-oriented towards Twitter utilization in tourism. In addition, text-mining analysis has been conducted in order to extract and identify the topics of the papers investigating the utilization of Twitter for tourism research. Results: Research of Twitter utilization in tourism has increased substantially in the last decade, with most of the research conducted in the United States and Japan. Extracted topics are focused on distinctive themes, such as network analysis, word of mouth, and destination management. Conclusions: New topics have emerged, such as the utilization of Twitter in crisis communication and terrorist attacks, as well as the integration of Twitter and other social media such as Flickr.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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Twitter usage in Tourism: Literature Review

In this paper, we developed a support tool to design IoT services, and proposed a model checking method with NuSMV. Using our tool, we can model an IoT service as an agent-oriented Petri net PN2 (Petri nets in a Petri net), and simulate its behavior. We also can exhaustively and automatically verify whether the given model meets a given specification. We also illustrated its usefulness with an application example of drone delivery system and considered its scalability.

A support tool to design IoT services with NuSMV

In this paper, we proposed a system for analysis of IoT services. We regard an IoT service as a multi-agent system, and model it as an agent-oriented Petri net, called Petri nets in a Petri net (PN2 for short). Using the PN2 model, we analyze the IoT service by simulation and model checking. We also implemented the proposed system, and illustrated its usefulness with an application example for smart house.

An analysis system of IoT services based on agent-oriented Petri net PN2

In this paper, we proposed a new concept of tour, named interest-based tour, and based on this new concept, we have developed a tour planning tool. The interest-based tour is literally a tour to visit places related to a given interest. Interest argued in this paper is not limited to only point such as things and places. We extend the concept of interest to line (e.g. a famous person's history) and area (e.g. the Age of Discovery). Social network site (SNS) enables us to find travel experiences of visiting places related to the interest. So we use Twitter to collect travel experiences related to the given interest, then use process mining technique to make these experiences into a tour plan.

Shoki Tsugawa

Papers

An analysis system of IoT services based on agent-oriented Petri net PN2

An interest-based tour planning tool by process mining from Twitter