Our learning-by-teaching environment, Betty’s Brain, captures a wealth of data on students’ learning interactions as they teach a virtual agent. This paper extends an exploratory data mining methodology for assessing and comparing students’ learning behaviors from these interaction traces. The core algorithm employs sequence mining techniques to identify differentially frequent patterns between...

In this paper we propose a novel multiagent learning approach, which is based on online analytical processing (OLAP) data mining. First, we describe a data cube OLAP architecture which facilitates effective storage and processing of the state information reported by agents. This way, the action of the other agent, even not in the visual environment of the agent under consideration, can simply b...

Data mining techniques have been successfully employed on user interaction data in exploratory learning environments. In this paper we investigate using data mining techniques for analyzing student behaviors in an especiallycomplex exploratory environment, with over one hundred possible actions at any given point. Furthermore, the outcomes of these actions depend on their context. We propose a ...

Problem-solving is an important process that enables corporations to create competitive business advantages. Traditionally, case-based reasoning techniques have been widely used to help workers solve problems. However, conventional approaches focus on identifying similar problems without exploring the information needs of workers during the problem-solving process. Such processes are usually kn...

Intelligent tutoring systems (ITS) acquire rich data about students’ behavior during learning; data mining techniques can help to describe, interpret and predict student behavior, and to evaluate progress in relation to learning outcomes. We describe applications of data mining to challenges related to finding patterns in student actions at the level of single problems to predictions across ses...

While discussions continue about the precise role of data mining in drug safety, there can be little doubt that data mining algorithms have established themselves as a component of the pharmacovigilance “tool-kit”. The drug safety community should facilitate research into the development and testing of novel data mining and statistical algorithms that match the importance and complexity of the ...

Web usage mining is the application of data mining techniques to better serve the needs of web-based applications on the web site. In this paper, we analyze the web usage mining by applying the pattern recognition techniques on web log data. Pattern recognition is defined as the act of taking in raw data and making an action based on the ‘category’ of the pattern. Web usage mining is divided in...

Opinion mining or sentiment analysis is the computational study of people’s opinions, appraisals, attitudes, and emotions toward entities such as products, services, organizations, individuals, events, and their different aspects. It has been an active research area in natural language processing and Web mining in recent years. Researchers have studied opinion mining at the document, sentence a...