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Visar resultat 1 - 5 av 99 avhandlingar som matchar ovanstående sökkriterier.
1. Data Stream Mining and Analysis : Clustering Evolving Data
Sammanfattning : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. LÄS MER
2. Approximation and Online Algorithms with Applications in Computational Biology and Computational Geometry
Sammanfattning : The main contributions of this thesis are in the area of approximation and online algorithm design and derivation of lower bounds on the approximability for a number of combinatorial optimization problems with applications in computational biology and computational geometry. Approximation and online algorithms are fundamental tools used to deal with computationally hard problems and problems in which the input is gradually disclosed over time. LÄS MER
3. Functional clustering methods and marital fertility modelling
Sammanfattning : This thesis consists of two parts.The first part considers further development of a model used for marital fertility, the Coale-Trussell's fertility model, which is based on age-specific fertility rates. A new model is suggested using individual fertility data and a waiting time after pregnancies. LÄS MER
4. Automatic sensor clustering : connectivity for the internet of things
Sammanfattning : Current predictions from industry envision that within a decade, the Internet will bepopulated by tens of billion of devices. Already today, smart Internet devices havesensors that provide an enormous potential for creating new applications. LÄS MER
5. Clustering Techniques for Mining and Analysis of Evolving Data
Sammanfattning : The amount of data generated is on rise due to increased demand for fields like IoT, smart monitoring applications, etc. Data generated through such systems have many distinct characteristics like continuous data generation, evolutionary, multi-source nature, and heterogeneity. LÄS MER