International audienceIn this paper, a video mining method based on the use of Forests of Fuzzy Decision Trees (FFDT) is presented. We focus on the use of such a FFDT in a high scale video mining application and highlight the main advantages of using fuzzy set theory in such a process
There is a lot of approaches for data classification problems resolving. The most significant data c...
This paper proposes a framework which consists of a novel fuzzy inference algorithm to generate fuzz...
International audienceInductive learning is an efficient way to construct knowledge from the observa...
International audienceIn this chapter, the authors focus on the use of forests of fuzzy decision tre...
Nowadays, the annotation of videos with high-level semantic concepts or features is a great challeng...
International audienceIn this paper, a study is presented to explore ensembles of fuzzy decision tre...
International audienceThis paper presents results, at an early stage of research work, of the use of...
Abstract — This paper addresses a new multimedia data mining framework for the extraction of events ...
This chapter considers the soft computing approach called fuzzy decision trees (FDT), a form of clas...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
International audienceHandling stream data or temporal data is a difficult task and brings out a lot...
International audienceIn inductive learning, to build decision trees is often arduous when there exi...
In this paper, a new method of fuzzy decision trees called soft decision trees (SDT) is presented. T...
Classification as a data mining materiel is the process of assigning entities to an already defined ...
Abstract—One of the methods most commonly used for learning and classification is using decision tre...
There is a lot of approaches for data classification problems resolving. The most significant data c...
This paper proposes a framework which consists of a novel fuzzy inference algorithm to generate fuzz...
International audienceInductive learning is an efficient way to construct knowledge from the observa...
International audienceIn this chapter, the authors focus on the use of forests of fuzzy decision tre...
Nowadays, the annotation of videos with high-level semantic concepts or features is a great challeng...
International audienceIn this paper, a study is presented to explore ensembles of fuzzy decision tre...
International audienceThis paper presents results, at an early stage of research work, of the use of...
Abstract — This paper addresses a new multimedia data mining framework for the extraction of events ...
This chapter considers the soft computing approach called fuzzy decision trees (FDT), a form of clas...
The inductive learning methodology known as decision trees, concerns the ability to classify objects...
International audienceHandling stream data or temporal data is a difficult task and brings out a lot...
International audienceIn inductive learning, to build decision trees is often arduous when there exi...
In this paper, a new method of fuzzy decision trees called soft decision trees (SDT) is presented. T...
Classification as a data mining materiel is the process of assigning entities to an already defined ...
Abstract—One of the methods most commonly used for learning and classification is using decision tre...
There is a lot of approaches for data classification problems resolving. The most significant data c...
This paper proposes a framework which consists of a novel fuzzy inference algorithm to generate fuzz...
International audienceInductive learning is an efficient way to construct knowledge from the observa...