Titlebook: Innovative Applications in Data Mining; Nadia Nedjah,Luiza Macedo Mourelle,Janusz Kacprzyk Book 2009 Springer-Verlag Berlin Heidelberg 200

发怨言

obstruct

Sigmoidoscopy

Towards Characterization of the Data Generation Process,by both - the research and user communities. Comparative analyses of the changes detected in the discovered trends over the temporal dimension are likely to provide an insight into the dynamics of the dgp. Different levels of abstractions from the end-user’s viewpoint, form the second dimension of such analyses.

BARB

adhesive

Endometrium

A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN,pled approaches for representing and reasoning under uncertainty. Reacting to this trend, the World Wide Web Consortium (W3C) has recently created the Uncertainty Reasoning for the World Wide Web Incubator Group (URW3-XG) to better define the challenge of reasoning with and representing uncertain in

CURB

Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?,e composed by a set of rules selected following Pareto dominance concepts and forming unordered classifiers. These rules are previously created by an association rule algorithm. The performance of the classifiers induced were compared with other well known rule induction algorithms using the area un

FISC

Clustering Dynamic Web Usage Data, from a lack of classification techniques that are able to detect the occurrence of a change in the underlying data distribution. Ignoring possible changes in the underlying concept, also known as concept drift, may degrade the performance of the classification model. Often these changes make the mo

scrutiny

Towards Characterization of the Data Generation Process,ment of elegant algorithms that induce useful predictive and descriptive models from large data repositories available widely..In last decade serious effort has also been made towards mining of evolving data-sets and now several one pass algorithms with restricted memory footprints are available for

审问

Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transata mining. A major problem is to extract useful information from the currently available non-labeled digitized time series. This work focuses on automatic classification of faults in transmission lines. These faults are responsible for the majority of the disturbances and cascading blackouts. To ci