Actionable knowledge has been qualitatively and intensively studied in the social sciences. Its marriage with data mining is only a recent story. On the one hand, data mining has been booming for a while and has attracted an increasing variety of increasing applications. On the other, it is a reality that the so-called knowledge discovered from data by following the classic frameworks often can...

Uncertain and stochastic states have been always taken into consideration in the fields of risk management and accident, like other fields of industrial engineering, and have made decision making difficult and complicated for managers in corrective action selection and control measure approach. In this research, huge data sets of the accidents of a manufacturing and industrial unit have been st...

To construct the log ontology is one of the main tasks of semantic Web usage mining. In order to discover the hierarchy of users’ visit interesting for web sites, we propose a taxonomic relationship learning approach for content events on log ontology. In this method, event is used to express the users’ visiting action, and content event is the semantic behavior of users’ visiting to the page c...

Computer-based learning environments can produce a wealth of information on each student action, which can often be represented at multiple levels of abstraction and with a variety of features. This paper extends an exploratory sequence mining methodology for assessing and comparing students’ learning behaviors by autonomously identifying abstraction levels in a hierarchical taxonomy of actions...

Web searchers often use a Web search engine to find a way or means to achieve his/her goal. For example, a user intending to solve his/her sleeping problem, the query “sleeping pills” may be used. However, there may be another solution to achieve the same goal, such as “have a cup of hot milk” or “stroll before bedtime.” The problem is that the user may not be aware that these solutions exist. ...

The norm of sanctions in Mining Law 2020 through irrational legislative policies can trigger criminal disparities and become a criminogenic factor. Reformulation efforts are needed formulating regarding reclamation. This research aims to realign the purpose criminalizing post-mining reclamation obligation community mining category. discussion is focused on provisions reformulation for category'...

Toxicity caused by chemical mixtures has emerged as a significant challenge for toxicologists and risk assessors. Information on individual chemicals' modes of action is an important part of the hazard identification step. In this study, an automatic text mining-based tool was employed as a method to identify the carcinogenic modes of action of pesticides frequently found in fruit on the Swedis...

Association rules mining is one of the most successfully applied data mining methods in today’s business settings (e.g. Amazon or Netflix recommendations to customers). Qualified association rules mining is an extension of the association rules data mining method, that uncovers previously unknown correlations that only manifest themselves under certain circumstances (e.g. on a particular day of...

Many algorithms and models were developed but the findings are not actionable and lack of soft power while solving the complex problems. Domain Driven Data mining is used a major efforts to promote the action ability of the knowledge discovery in the real world smart decision making. Combined mining is one of the common methods for analyzing complex data for identifying complex knowledge. The d...

In recent years, popular search engines are utilizing the power of Knowledge Graph(KG) to provide specific answers to queries and questions in a direct way. It is expected that search engine result pages (SERPs) will provide facts about the quires satisfying semantic meaning, which encouraging researchers to constructing more powerful Knowledge Graph. One of the major challenges is disambiguati...