Discovering frequent episodes in event sequences is an interesting data mining task. In this paper, we argue that this framework is very effective for analyzing multi-neuronal spike train data. Analyzing spike train data is an important problem in neuroscience though there are no data mining approaches reported for this. Motivated by this application, we introduce different temporal constraints...

This paper provides an overview of a user-friendly NPSbased Recommender System for driving business revenue. This hierarchically designed recommender system for improving NPS of clients is driven mainly by action rules and meta-actions. The paper presents main techniques used to build the data-driven system, including data mining and machine learning techniques, such as hierarchical clustering,...

opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. in general, opinion mining extracts user reviews at three levels of document, sentence and feature. opinion mining at the feature level is taken into consideration more than the other two levels d...

data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Actionable knowledge is a highly desired discovery with data mining research. Action rules describe possible transitions of objects in an information system from one state to another more desirable state, with respect to a disting uished attribute. In this paper we propose a new method for post-processing action rules through G-Actions ontology. It contains nodes of generalized actions knowledg...

The purpose of this study is how the role police in overcoming illegal mining natural stone which has an impact on damage and community settlements what factors hinder settlements. research method used type empirical normative legal research. Normative law uses case studies form products, while behavior. that Gorontalo Regency by conducting outreach to daenaa village community, then carrying ou...

A number of recent data mining techniques have been targeted especially for the analysis of sequential data Traditional examples of sequential data involve telecom munication alarms Www log les user action registration for Hci studies or any other series of events consisting of an event type and a time of occurrence Text can also be seen as sequential data in many respects similar to the data c...

We report on a simple method for detecting changes in repetitive patterns of action. The method involves computing the correlation of action networks before and after a focal date that is moved through an event log that represents the history of a process. Unlike process mining methods that focus on identifying an accurate model of a process at one point in time, we use a simplified model of th...

introduction development of natural resources and mining activities are prerequisite for economic and industrial growth in many countries. in many cases, such mining areas lie within residential or agricultural lands or natural habitats intensifying the contradiction between land use and environmental protection. different components of mining activities including exploration, extraction and pr...

The aim of this work is to explain the concepts sustainability with respect small artisanal gold mining. For this, a qualitative approach descriptive scope was used, for which bibliographic review technique conducted. In sense, articles, theses, books and institutional documents, any contribution related research topic were taken into consideration. Likewise, documentation contributed delimitin...