In this paper we define the notion of causal chains. Causal chains are a particular kind of sequential patterns that reflect causality relations according to background knowledge. We also present an algorithm for mining causal chains from a collection of action traces. We run this algorithm on a realworld domain and observe that causal chains can be computed efficiently by quickly identifying i...

Ž . A new approach to autonomous land vehicle ALV navigation by the person following is proposed. This approach is based on sequential pattern recognition and computer vision techniques, and maintenance of smoothness for indoor navigation is the main goal. The ALV is guided automatically to follow a person who walks in front of the vehicle. The vehicle can be used as an autonomous handcart, go-...

Ž . A new approach to autonomous land vehicle ALV navigation by the person following is proposed. This approach is based on sequential pattern recognition and computer vision techniques, and maintenance of smoothness for indoor navigation is the main goal. The ALV is guided automatically to follow a person who walks in front of the vehicle. The vehicle can be used as an autonomous handcart, go-...

Article history: Received 13 January 2015 Received in revised form 3 March 2016 Accepted 7 March 2016 Available online xxxx

One of the unresolved problems faced in the construction of intelligent tutoring systems is the acquisition of background knowledge, either for the specification of the teaching strategy, or for the construction of the student model, identifying the deviations of students’ behavior. In this paper, we argue that the use of sequential pattern mining and constraint relaxations can be used to autom...

Being able to understand the financial market is very important for investors and, given the width and complexity of the topic, tools to support investor decisions are badly needed. In this paper we present Mercurio, a system that supports the decision-making process of financial investors through the automatic extraction and analysis of financial data coming from the Web. Mercurio formalizes t...

In this work, we study the problem of closed sequential pattern mining. We propose a novel approach which extends a frequent sequence with closed itemsets instead of single items. The motivation is that closed sequential patterns are composed of only closed itemsets. Hence, unnecessary item extensions which generates non-closed sequential patterns can be avoided. Experimental evaluation shows t...

Novices often lack metacognition and self-regulation skills that are important for effective learning. Betty's Brain, an open-ended computer-based learning environment helps students practice and develop metacognitive strategies as they learn science topics. We extend previous work on sequence mining methods to discover students' frequentlyused behavior patterns from their activity sequences. O...