Electrical engineer graduated at the Engineering School at São Carlos from the Universidade de São Paulo (1977), obtained his computer science master's degree (1982) and ph.d. (1986) from Universidade de São Paulo. His work in Computer Science focuses on Similarity queries, Content-based Image retrieval, Query optmization, Query languages, Complex data index and Complex data mining. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| TITULO |
| Articles published in other media outlets (0 total): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Today, almost every human activity generates and/or demands to store and process massive, diverse and complex data, either in scientific, academic, enterprise and even leisure pursuits - the scenario being called as the “big data era”. Health-related activities are in the core of those activities, as they produce big data as well as they can take advantage of the technological storm, impr…
The Relational Database Management Systems (DBMS) were conceived to meet the needs of storing and retrieving large volumes of data, where each item is represented as a series of numbers, dates and small character strings, referred to as ``scalar data''. As the information technology evolves, it is increasingly required to organize, store and retrieve also other data types, such as images…
(Only some records are available in English at this moment)
Medical centers such as clinics, hospitals, health centers, and service providers generate and consume a large amount of data in their daily activities. This data is stored in Electronic Health Records (EHR) that store a wide spectrum of patient data including medical history, laboratory test results, drugs administered, and diagnostics. This information is of great importance to support …
(Only some records are available in English at this moment)
When dealing with real-world data, erroneous data are the norm rather than the exception. To increase the value of data in analytics and decision-making, data scientists focus intensively on data cleaning tasks. Over the years, individual problems have been addressed separately, such as missing value imputation, outlier detection, and deduplication. Recently, a novel approach has been ado…
| 1 / 1 | Ongoing research grants |
| 15 / 6 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 34 / 16 | Completed scholarships in Brazil |
| 2 / 1 | Completed scholarships abroad |
| 53 / 25 | All research grants and scholarships |
| Associated processes | |
CV Lattes
ORCID