Search for dissertations about: "Knowledge Discovery in Databases"

Showing result 1 - 5 of 6 swedish dissertations containing the words Knowledge Discovery in Databases.

2. 1. HIV Patient Monitoring Framework Through Knowledge Engineering

   Author : Charles Otine; Blekinge Tekniska Högskola; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Action Research; Antiretroviral therapy ART ; AIDS; Classification; Databases; Data Mining; Data Warehousing; Health; ICT; IT; HIV; Open Source; Knowledge Discovery; Knowledge Engineering; Machine Learning; Regression;

   Abstract : Uganda has registered more than a million deaths since the HIV virus was first offi¬cially reported in the country over 3 decades ago. The governments in partnership with different groups have implemented different programmes to address the epidemic. READ MORE

4. 2. Applications of Knowledge Discovery in Quality Registries - Predicting Recurrence of Breast Cancer and Analyzing Non-compliance with a Clinical Guideline

   Author : Amir Reza Razavi; Nosrat Shahsavar; Arie Hasman; Linköpings universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Breast cancer; Clinical guidelines; Canonical correlation analysis; Data Mining; Data pre-processing; Decision tree induction; Knowledge Discovery in Databases; Medical informatics; Medicinsk informatik;

   Abstract : In medicine, data are produced from different sources and continuously stored in data depositories. Examples of these growing databases are quality registries. In Sweden, there are many cancer registries where data on cancer patients are gathered and recorded and are used mainly for reporting survival analyses to high level health authorities. READ MORE

5. 3. Data-driven and production-oriented tendering design using artificial intelligence

   Author : Linda Cusumano; Chalmers tekniska högskola; []
   Keywords : HUMANIORA; HUMANITIES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Inspections; Requirement management; Systems engineering; Natural Language Processing; Knowledge transfer;

   Abstract : Construction projects are facing an increase in requirements since the projects are getting larger, more technology is integrated into the buildings, and new sustainability and CO2 equivalent emissions requirements are introduced. As a result, requirement management quickly gets overwhelming, and instead of having systematic requirement management, the construction industry tends to trust craftsmanship. READ MORE

6. 4. Genetic Cartography at Massively Parallel Scale

   Author : Johan Dahlberg; Ann-Christine Syvänen; Adam Ameur; Michael C. Zody; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Acute Lymphoblastic Leukemia ALL ; RNA-Sequencing; Bioinformatics; Pooling; Whole Genome Sequencing; Medicinsk genetik; Medical Genetics; Bioinformatics; Bioinformatik;

   Abstract : Massively parallel sequencing (MPS) is revolutionizing genomics. In this work we use, refine, and develop new tools for the discipline.MPS has led to the discovery of multiple novel subtypes in Acute Lymphoblastic Leukemia (ALL). In Study I we screen for fusion genes in 134 pediatric ALL patients, including patients without an assigned subtype. READ MORE

7. 5. Data mining of geospatial data: combining visual and automatic methods

   Author : Urška Demšar; Hans Hauska; Peter A. Burrough; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; geographic information science; geoinformatics; geovisualisation; spatial data mining; visual data mining; usability evaluation; Other information technology; Övrig informationsteknik;

   Abstract : Most of the largest databases currently available have a strong geospatial component and contain potentially useful information which might be of value. The discipline concerned with extracting this information and knowledge is data mining. Knowledge discovery is performed by applying automatic algorithms which recognise patterns in the data. READ MORE