Search for dissertations about: "data mining tools"

Showing result 1 - 5 of 58 swedish dissertations containing the words data mining tools.

2. 1. Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis

   Author : Giampiero Salvi; Björn Granström; Torbjørn Svendsen; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; speech; machine learning; data mining; signal processing; Computer science; Datavetenskap;

   Abstract : This thesis collects studies on machine learning methods applied to speech technology and speech research problems. The six research papers included in this thesis are organised in three main areas. The first group of studies were carried out within the European project Synface. READ MORE

4. 2. 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

5. 3. Finding, extracting and exploiting structure in text and hypertext

   Author : Ola Ågren; Jürgen Börstler; Frank Drewes; Maarten de Rijke; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Automatic propagation; CHiC; Data mining; Discrete data; Extraction; Hierarchies; ProT; Rank distribution; S²ProT; Spatial linking; Web mining; Web searching; Computer science; Datalogi; business data processing; administrativ databehandling;

   Abstract : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. READ MORE

6. 4. Algorithms in data mining : reduced rank regression and classification by tensor methods

   Author : Berkant Savas; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; MATHEMATICS; MATEMATIK;

   Abstract : In many fields of science, engineering, and economics large amounts of data are stored and there is a need to analyze these data in order to extract information for various purposes. Data mining is a general concept involving different tools for performing this kind of analysis. READ MORE

7. 5. Spatio-Temporal Data Mining for Location-Based Services

   Author : Gyözö Gidofalvi; Torben Bach Pedersen; Xiaofang Zhou; Agnès Voisard; Simonas Saltenis; Geomatic ApS - Center for Geoinformatics; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; spatio-temporal data mining; location-based services; location and trajectory anonymization;

   Abstract : Largely driven by advances in communication and information technology, such as the increasing availability and accuracy of GPS technology and the miniaturization of wireless communication devices, Location–Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. READ MORE