Abstract. This paper proposes to apply multiagent based data min-ing technologies to biological data analysis. The rationale is justified from multiple perspectives with an emphasis on biological context. Fol-lowed by that, an initial multiagent based bio-data mining framework is presented. Based on the framework, we developed a prototype system to demonstrate how it helps the biologists to perform a comprehensive mining task for answering biological questions. The system offers a new way to reuse biological datasets and available data mining algorithms with ease.
In this paper we provide an overview on interactive and integrative knowledge discovery and data min...
[[abstract]]The inherent diversity and complexity of biological data sources make traditional inform...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
This paper proposes to apply multiagent based data mining technologies to biological data analysis. ...
Abstract. This paper argues for applying multiagent based data mining technologies to biological dat...
Biological databases contain a wide variety of data types, often with rich relational structure. Con...
Mining biological data is an emergent area at the intersection between bioinformatics and data minin...
Today, there is a collection of a tremendous amount of bio-data because of the computerized applicat...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
In this tutorial article, the author reviews basics about frequent pattern mining algorithms, includ...
Biomedical research becomes increasingly multidisciplinary and collaborative in nature. At the same ...
Due to the enormous amount of information available on the Internet, extracting and classifying it h...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
Abstract—Biomedical research has recently seen a vast growth in publicly and instantly available inf...
With rapidly growing amounts of genomic and expression data publicly available, efficient and automa...
In this paper we provide an overview on interactive and integrative knowledge discovery and data min...
[[abstract]]The inherent diversity and complexity of biological data sources make traditional inform...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
This paper proposes to apply multiagent based data mining technologies to biological data analysis. ...
Abstract. This paper argues for applying multiagent based data mining technologies to biological dat...
Biological databases contain a wide variety of data types, often with rich relational structure. Con...
Mining biological data is an emergent area at the intersection between bioinformatics and data minin...
Today, there is a collection of a tremendous amount of bio-data because of the computerized applicat...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
In this tutorial article, the author reviews basics about frequent pattern mining algorithms, includ...
Biomedical research becomes increasingly multidisciplinary and collaborative in nature. At the same ...
Due to the enormous amount of information available on the Internet, extracting and classifying it h...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...
Abstract—Biomedical research has recently seen a vast growth in publicly and instantly available inf...
With rapidly growing amounts of genomic and expression data publicly available, efficient and automa...
In this paper we provide an overview on interactive and integrative knowledge discovery and data min...
[[abstract]]The inherent diversity and complexity of biological data sources make traditional inform...
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire ...