[PDF] Top 20 Wackersreuther, Bianca (2011): Efficient Knowledge Extraction from Structured Data. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

... the data itself is the only source of ...an efficient top-down splitting algorithm where intermediate results are obtained by bisecting k-means and are evaluated with ...the data and the model are ... See full document

... In this chapter, we extended the flexible modeling framework based on boosting to allow the inclusion of monotonic or cyclic constraints for certain variables. The monotonicity constraint on continuous variables leads to ... See full document

... for data analysis, as is the choice of the appropriate representation of their impact on the quantities to be estimated such as deciding between linear or smooth non-linear ...for structured additive ... See full document

... medical data this cannot be ...background knowledge of the underlying data is ...of data compres- sion which we use to distinguish outliers since they cannot be compressed as efficient ... See full document

... As we stated above, bicluster outcomes vary in structure and type when dif- ferent algorithms are used. Most of the algorithms we introduced are also very sensitive to small parameter changes and/or minor changes in the ... See full document

... in data and ...algorithm from Section 8 ...more efficient alternative to the classical counting algorithm of [ 104 ] that counts derivation ...this dissertation can be used for explanation ... See full document

... upon data-driven transformations and thus do not reduce variability in an informed ...highly efficient to compute and has been successfully applied in a large variety of applications, ... See full document

... derived from annual time series of vegetation indices from various remote sensing products, mainly AVHRR (advanced very-high-resolution radiometer), MODIS (moderate- resolution imaging spectroradiometer), ... See full document

... complex structured time series into a reasonable set of more simply structured components which we call local ...types from these local ...feature extraction problem into a set of small ... See full document

... Modern data sets have grown both more complex and greatly increased in ...Complex data sets include pedigrees, which have been analyzed in the field of genetics for decades ...complex data sets can ... See full document

... representation from the entire ...or data sparsity in a corpus of few documents, the appli- cation of TMs is ...external knowledge into neural autoregressive topic models via a language modelling ap- ... See full document

... sensor data which is provided by people wearing a little 3D sensor which is recording and storing acceleration data in all three axes with a frequency of 25 ...the data is parsed and transferred to ... See full document

... Another important topic in the context of similarity models is robust- ness against geometric transformations of the original data objects. Similarity search is often done in databases containing geometric de- ... See full document

... Experts usually fail to predict when a future vision will ultimately arrive [102]. So de- spite technological advances, fully automated systems will probably stay at research stage for a long while. For this to become ... See full document

... analyzed data are precise and correct observations of the variables of ...the data values is ...questions. Data on personal income are usually collected by surveys, because privacy laws prevent other ... See full document

... the data, it does not reveal the causative biological mechanism of the observed gene ...expression data and prior knowledge in form of a network ... See full document

... unit can also not be dense. Furthermore, a heuristic that is based on the minimum description length principle is introduced to discard candidate units within less interesting subspaces, i.e. subspaces that contain only ... See full document

... cyclic data distribution in the affyPara package, the methods have to be adapted to collect the data from the workers and to calculate the plot parameters in ...thesis from Esmeralda Vicedo ... See full document

... Mathematikunterricht und im Informatik- unterricht ...Caesar–Verschlüsselung und deren Verallgemeinerung durch die Chiffrierung mit einem Schlüsselwort sowie die Vigenère–Verschlüsselung ...werden. ... See full document

... access data and processing power almost ...bandwidth from the user to the computer is fairly limited today ...physiological data as input for on-line computing) is different from pervasive ... See full document