Antonio Bailón

Antonio Bailón
University of Granada | UGR · Department of Computer Science and Artificial Intelligence

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19
Publications
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29
Citations

Publications

Publications (19)
Chapter
In the last few years, distant learning is gaining traction as a valid teaching approach taking advantage of the Internet and current multimedia capabilities. Even though thousands of students are enrolling to Massive Open Online Courses, there is still a lack of proper educative programs who account for the individual characteristics of the studen...
Article
Event-based sequences are a kind of pattern based on temporal associations with two essential characteristics: they are syntactically simple and have a great expressive power. For this reason, event-based sequence mining is an interesting solution to the problem of knowledge discovery in dynamic domains, mainly characterized by a time-varying natur...
Conference Paper
Every day we search new information in the web, and we found a lot of documents which contain pages with a great amount of information. There is a big demand for automatic summarization in a rapid and precise way. Many methods have been used in automatic extraction but most of them do not take into account the hierarchical structure of the document...
Conference Paper
Every day we search new information in the web, and we found a lot of documents which contain pages with a great amount of information. There is a big demand for automatic summarization in a rapid and precise way. Many methods have been used in automatic extraction but most of them do not take into account the hierarchical structure of the document...
Article
The calculation of dimensions is a useful tool to quantify structural information of artificial and natural objects. There are some types of dimension (9): the Euclidean one, the Hausdorff-Besicovitch dimension, and so on. We are going to work with the fractal dimension in the special case of text documents. There are many objects which fractal dim...
Conference Paper
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especially necessary if we want to extract useful knowledge from dynamic domains, which are time- varying in nature. However, this process is computationally complex, and therefo...
Article
Abstract The implementation of intelligent systems is not particularly widespread in the field of Botany and even less so on Internet. At present, we can currently only find hypertext documents,or databases which store unprocessed,information. The GREEN (Gymnosperms,Remote Expert Executed Over Networks) System is presented as the application of Art...
Conference Paper
In this paper, we analyze the use of the Continuous Classifying Associative Memory (CCLAM) to store imprecise information expressed with linguistic terms. Freedom in the choice of the functions which control the operation of the CCLAM equip this memory with the capacity to adapt to different information storage and recovery needs. We begin with the...
Article
In this article, we analyze the use of the continuous classifying associative memory (CCLAM) to store linguistic information. Freedom in the choice of the functions that control the operation of the CCLAM equip this memory with the capacity to adapt to different information storage and recovery needs. We begin with the problem of storing linguistic...
Article
In this article we present the so-called continuous classifying associative memory, able to store continuous patterns avoiding the problems of spurious states and data dependency. This is a memory model based on our previously developed classifying associative memory, which enables continuous patterns to be stored and recovered. We will also show t...
Chapter
We present a coding method for linguistic variables which we have named Incremental Discretization. It allows us to express any fuzzy subset of the universe of discourse of the linguistic variable in binary or bipolar terms. This will permit us to process fuzzy information expressed in linguistic terms using discrete models of Artificial Intelligen...
Article
We present a new associative memory model that stores arbitrary bipolar patterns without the problems we can find in other models like BAM or LAM. After identifying those problems we show the new memory topology and we explain its learning and recall stages. Mathematical demonstrations are provided to prove that the new memory model guarantees the...
Article
Full-text available
The incorporation of temporal semantics into the tradi-tional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorpo-ration is especially necessary if we want to extract useful knowledge from dynamic domains, which are time-varying in nature. Related to this topic, we proposed in [11] an algorithm nam...

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