A5037720800- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Data Management and Algorithms
- Geographic Information Systems Studies
- Natural Language Processing Techniques
- Web Data Mining and Analysis
- Time Series Analysis and Forecasting
- Text and Document Classification Technologies
- Information Science and Libraries
- Advanced MRI Techniques and Applications
- IoT and Edge/Fog Computing
- Advanced Data Compression Techniques
- Rough Sets and Fuzzy Logic
- Organ Transplantation Techniques and Outcomes
- Recommender Systems and Techniques
- Distributed and Parallel Computing Systems
- MRI in cancer diagnosis
- Stock Market Forecasting Methods
- AI in cancer detection
- Smart Agriculture and AI
- Complex Systems and Time Series Analysis
- Algorithms and Data Compression
- Advanced Clustering Algorithms Research
- Data Mining Algorithms and Applications
- Image Retrieval and Classification Techniques
Brazilian Agricultural Research Corporation
2008-2020
Agricultural Research Corporation
2018
The Brazilian agribusiness sector has been witnessing increasing modernization, caused by the extensive adoption of technologies, with increase in productivity and reduction risks In addition, use digital technologies farms recently increasing, engendering emerging fi eld agriculture.In this context, article presents a startup acceleration program, called TechStart Agro Digital, an initiative Embrapa Agricultural Informatics Venture Hub support various stakeholders agricultural innovation...
A new complete proposal to solve the problem of automatically selecting good and non redundant n-gram words as attributes for textual data is proposed. Generally, use required improve subjective interpretability a text mining task, with n ges 2. In these cases, are statistically generated selected, which always implies in redundancy. The proposed method eliminates only redundancies. This can be observed by results classifiers over original sets, because, there not decrease categorization...
Modern agribusiness management incorporates instruments for risk with the objective of mitigating uncertainties to producer. In this context, producer (risk averse) transfer price oscillation companies or individuals that operate in futures market and who expect receive a payment premium) assuming such risk. Defining adequate strategies depends on knowledge about problem determine prices ranges future. Recent studies demonstrate time series forecasting can be significantly improved by...
The focus of this paper is on the evaluation sixteen labeling methods for hierarchical document clusters over five datasets. All are independent from clustering algorithms, applied subsequently to dendrogram construction and based probabilistic dependence relations among labels clusters. To reach a fair comparison as well standard benchmark, we rewrote presented in similar notation. experimental results were analyzed through proposed methodology on: (i) data standardization before applying...
The ServCLIPS is a software tool developed by Embrapa Information Technology,which facilitates the writing and execution of web expert systems. uses theinference engine CLIPS system shell, programminglanguage for developing systems XML/XSL to specify/implement theuser interfaces (in complete transparent way). It was implemented as servlet forUNIX environment.
Este trabalho apresenta uma metodologia de tratamento dos textos extraídos livros digitais da Coleção 500 Perguntas Respostas Embrapa a fim que seu conteúdo possa ser indexado e acessado via um mecanismo busca específico. A envolve extração elementos essenciais livros, como imagens arquivos HTML, o pré-processamento desses elementos, sua análise edição, construção componentes adequados para indexação. Além intenso humana, são consideradas tecnologias formato Epub digitais, editor Sigil,...