Sökning: "data reduction"

Visar resultat 1 - 5 av 1749 avhandlingar innehållade orden data reduction.

1. 1. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

   Författare :Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed data;

   Sammanfattning : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. LÄS MER

3. 2. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques

   Författare :Diana Fuentes-Andino; Sven Halldin; Chong-Yu Xu; Keith Beven; Giuliano Di Baldassarre; Wouter Buytaert; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Central America; floods; data scarcity; data quality; uncertainty analysis; regionalisation; flood frequency analysis; GLUE; hydraulic modelling; rainfall-runoff modeling; TOPMODEL; LISFLOOD-FP; GRADEX; index-flood; Muskingum-Cunge-Todini flow routing; Mellanamerika; högflöde; datakvalitet; osäkerhetsanalys; regionalisering; frekvensanalys av högflöden; GLUE; hydraulisk modellering; nederbörds-avrinningsmodeller; TOPMODEL; LISFLOOD-FP; GRADEX; indexflöde; Muskingum-Cunge-Todini flödessvarstid; Central América; inundaciones; escasez de datos; calidad de los datos; análisis de incertidumbre; regionalización; análisis de frequencia de inundación; GLUE; modelación hidraulica; modelo de lluvia-escorrentía; TOPMODEL; LISFLOOD-FP; GRADEX; índice de inundación; Muskingum-Cunge-Todini rutina de propagación de flujo;

   Sammanfattning : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. LÄS MER

4. 3. On Adapting Data Collection to Intrusion Detection

   Författare :Ulf Larson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; attack manifestation; data reduction; in-vehicle network; attack analysis; adaptation; intrusion detection; computer security; data collection; forensic investigation;

   Sammanfattning : Intrusion detection systems (IDSs) are capable of detecting both suspicious insider activity and attacks from external penetrators. They can also detect both known and previously unknown attacks. These capabilities make them valuableassets in the protection of computer systems and networks. LÄS MER

5. 4. Aspects of Adapting Data Collection to Intrusion Detection

   Författare :Ulf Larson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data collection; data reduction; intrusion detection; Manifestation extraction; log analysis;

   Sammanfattning : The focus of this thesis is on data collection and in particular data collection for intrusion detection purposes. Data collection is the first, and possibly most important activity in the overall intrusion detection process. The result of the detection can never be better than the data on which the detection is based. LÄS MER

7. 5. Online Dimensionality Reduction

   Författare :Kaito Ariu; Alexandre Proutiere; Mikael Johansson; Richard Combes; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : In this thesis, we investigate online dimensionality reduction methods, wherethe algorithms learn by sequentially acquiring data. We focus on two specificalgorithm design problems in (i) recommender systems and (ii) heterogeneousclustering from binary user feedback. LÄS MER