A5057646549- Privacy-Preserving Technologies in Data
- Data Mining Algorithms and Applications
- Soil Geostatistics and Mapping
- Meat and Animal Product Quality
- Data Quality and Management
- Privacy, Security, and Data Protection
- Remote Sensing in Agriculture
- Rural Development and Agriculture
- Agricultural and Food Sciences
- Animal Behavior and Welfare Studies
- Soil Management and Crop Yield
- Effects of Environmental Stressors on Livestock
- Animal Nutrition and Physiology
- Cryptography and Data Security
- Remote Sensing and LiDAR Applications
- Sugarcane Cultivation and Processing
- Soil and Land Suitability Analysis
- Geography and Environmental Studies
- Banana Cultivation and Research
- Soil Carbon and Nitrogen Dynamics
- Smart Agriculture and AI
- Genetic and phenotypic traits in livestock
- HIV, Drug Use, Sexual Risk
- Imbalanced Data Classification Techniques
- Veterinary Equine Medical Research
Universidade Estadual de Campinas (UNICAMP)
2013-2025
Universidade Federal do Pará
2025
Brazilian Agricultural Research Corporation
2015-2024
Faculdade São Leopoldo Mandic
2017
Terra
2015
Hospital de Clínicas da Unicamp
2013-2014
University of Alberta
2002-2010
We address the problem of protecting some sensitive knowledge in transactional databases. The challenge is on actionable for strategic decisions, but at same time not losing great benefit association rule mining. To accomplish that, we introduce a new, efficient one-scan algorithm that meets privacy protection and accuracy mining, without putting risk effectiveness data mining per se.
Despite its benefit in a wide range of applications, data mining techniques also have raised number ethical issues. Some such issues include those privacy, security, intellectual property rights, and many others. In this paper, we address the privacy problem against unauthorized secondary use information. To do so, introduce family geometric transformation methods (GDTMs) which ensure that process will not violate up to certain degree security. We focus primarily on preserving clustering,...
The discovery of association rules from large databases has proven beneficial for companies since such can be very effective in revealing actionable knowledge that leads to strategic decisions. In tandem with this benefit, rule mining also pose a threat privacy protection. main problem is non-sensitive information or unclassified data, one able infer sensitive information, including personal facts, even patterns are not supposed disclosed. This scenario reveals pressing need techniques...
The present study aimed to characterize the behavior and evaluate electromyographic (EMG), electrocardiographic (ECG), respiratory responses of Nile tilapia (Oreochromis niloticus) when exposed different concentrations Camphor (CPR) as a potential anaesthetic in immersion recovery baths. goal was determine impact CPR on muscle, cardiac, functions, assess its suitability an anesthetic for tilapia. Therefore, juvenile fish (38.2 ± 5.5 g) were acclimatized aquaria 20 days under controlled...
Precision agriculture for coffee production requires spatial knowledge of crop yield. However, difficulties in implementation lie low-sampled areas. In addition, the asynchronicity this adds complexity to modeling. It results a diversity phenological stages within field and also continuous over time. Big Data retrieved from remote sensing can be tested improve This research proposes apply Sentinel-2 vegetation index (NDVI) Sentinel-1 dual-polarization C-band Synthetic Aperture Radar (SAR)...
Homogeneous management zones (HMZs) delineation is important for the application of precision agriculture because farm decisions are based on it. Diverse soil chemical characteristics HMZs delineation. However, summarizing several variables into homogeneous zoning while taking account spatial distribution pattern a challenge. Addressing this challenge to produce oriented practical use farmers. In work, 17 were jointly analyzed HMZ by using indicator kriging (IK) interpolate fertility index...
The sharing of association rules has been proven beneficial in business collaboration, but requires privacy safeguards. One may decide to disclose only part the knowledge and conceal strategic patterns called sensitive rules. challenge here is how protect without losing benefit mining. To address this problem, we propose a unified framework that combines: set algorithms knowledge; retrieval facilities speed up process protecting; metrics evaluate effectiveness proposed terms information loss...
Heat waves usually result in losses of animal production since they are exposed to thermal stress inducing an increase mortality and consequent economical losses. Animal science meteorological databases from the last years contain enough data poultry business allow modeling due heat wave incidence. This research analyzes a database broiler associated climatic data, using mining techniques such as attribute selection classification (decision tree) model impact incidence on mortality. The...
Assessing pigs' welfare is one of the most challenging subjects in intensive pig farming. Animal vocalization analysis a noninvasive procedure and may be used as tool for assessing animal status. The objective this research was to identify stress conditions piglets reared farrowing pens through their vocalization. Vocal signals were collected from 40 animals under following situations: normal (baseline), feeling cold, pain, hunger. A unidirectional microphone positioned about 15 cm animals'...
O objetivo deste trabalho foi identificar zonas pluviometricamente homogêneas no Estado da Bahia e analisar as condições climáticas de cada zona entre 1981 2010. Foi aplicada a técnica mineração dados, Clusterização (agrupamento dados), por meio do uso algoritmo k-means, para transformação das séries históricas precipitação em cinco homogêneas, resposta à orografia, maritimidade sistemas meteorológicos atuantes na região. Foram utilizados dados médias mensais 92 estações meteorológicas. Os...
The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation an attribute-target, as soil CO2 flux. This study aimed identify prediction flux variables management systems sugarcane through machine-learning called Forest. Two different areas state São Paulo, Brazil, were selected: burned and green. In each area, we assembled sampling grid with 81 georeferenced points assess automated portable gas chamber measuring...
Soil CO2 emissions are regarded as one of the largest flows global carbon cycle and small changes in their magnitude can have a large effect on concentration atmosphere. Thus, better understanding this attribute would enable identification promoters development strategies to mitigate risks climate change. Therefore, our study aimed at using data mining techniques predict soil emission induced by crop management sugarcane areas Brazil. To do so, we used different variable selection methods...
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...
Broiler productivity is dependent on a range of variables; among them, the rearing environment significant factor for proper well-being and productivity. Behavior indicates bird’s initial response to an adverse capable providing indicator in real-time. The present study aims identify characterize sequential pattern broilers’ behavior when exposed thermoneutral conditions (TNZ) thermal stress (HS) by constant heat. research was carried out climatic chamber with 18 broilers under heat three...