Search for dissertations about: "Statistical Data Mining"

Showing result 1 - 5 of 34 swedish dissertations containing the words Statistical Data Mining.

2. 1. Mining Mozambique Health Data : The Case of Malaria: From Bayesian Incidence Risk to Incidence Case Predictions

   Author : Orlando P. Zacarias; Henrik Boström; Mats Danielson; Niklas Lavesson; Stockholms universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Computer and Systems Sciences; data- och systemvetenskap;

   Abstract : The health sector in Mozambique is piled with data, holding records of major public health diseases, such as malaria, cholera, etc. The process of scrutinizing such a mass of health data for useful information is challenging but essential for the health authorities and professionals. READ MORE

4. 2. Z-Series : Mining and learning from complex sequential data

   Author : Zed Lee; Panagiotis Papapetrou; Tony Lindgren; Toon Calders; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; data- och systemvetenskap; Computer and Systems Sciences;

   Abstract : The amount and complexity of sequential data collected across various domains have grown rapidly, posing significant challenges for extracting useful knowledge from such data sources. The complexity arises from diverse sequence representations with varying granularities, such as multivariate time series, histogram snapshots, and heterogeneous health records, which often describe a single data instance with multiple sequences. READ MORE

5. 3. Filtering extracting features from infrasound data

   Author : José Chilo; Thomas Lindblad; Christian Bohm; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; infrasound; seismic signals; feature extraction; wavelets; fingerprints; mining; magnetometer; Physics; Fysik; Electronics;

   Abstract : The goal of the research presented in this thesis is to extract features, to filter and get fingerprints from signals detected by infrasound, seismic and magnetic sensors. If this can be achieved in a real time system, then signals from various events can be detected and identified in an otherwise torrent data. READ MORE

6. 4. Visual analytics for maritime anomaly detection

   Author : Maria Riveiro; Göran Falkman; Tom Ziemke; Dag Stranneby; Mikael Jern; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visual analytics; anomaly detection; maritime traffic monitoring; analytical reasoning; information fusion; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer science; Datavetenskap; Datalogi; Computer and Systems Science; Technology;

   Abstract : The surveillance of large sea areas typically involves  the analysis of huge quantities of heterogeneous data.  In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. READ MORE

7. 5. Model-free execution monitoring in behavior-based mobile robotics

   Author : Ola Pettersson; Alessandro Saffiotti; Lars Karlsson; Joachim Hertzberg; Örebro universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Datavetenskap; mobile robotics; execution monitoring; fault detection and isolation; diagnosis; data- och systemvetenskap; Computer science; Datavetenskap; Computer and Systems Science; Data- och systemvetenskap;

   Abstract : In the near future, autonomous mobile robots are expected to assist us by performing service tasks in many different areas, including transportation, cleaning, mining, or agriculture. In order to manage these tasks in a changing and partially unpredictable environment, without the help of humans, the robot must have the ability to plan its actions and to execute them robustly and in a safe way. READ MORE