Data-mined similarity function between material compositions

Faults Discovery Using Mined Data

Fault discovery in the complex systems consist of model based reasoning, fault tree analysis, rule based inference methods, and other approaches. Model based reasoning builds models for the systems either by mathematic formulations or by results of experiments. Fault Tree Analysis shows the possible causes of a system malfunction by enumerating the suspect components and their respective failur...

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Protein complex compositions predicted by structural similarity

Proteins function through interactions with other molecules. Thus, the network of physical interactions among proteins is of great interest to both experimental and computational biologists. Here we present structure-based predictions of 3387 binary and 1234 higher order protein complexes in Saccharomyces cerevisiae involving 924 and 195 proteins, respectively. To generate candidate complexes, ...

. ' , Faults Discovery By Using Mined Data

Abstrucr-Fault discovery in the complex systems consist of model based reasoning, fault tree analysis, rule based inference methods, and other approaches. Model based reasoning builds mdeis for the systems either by inathematic formulations or by experiment model. Fault Tree Analysis shows the possible causes of a system malfunction by enumerating the suspect components and their respective fai...

Predicting Email Response using Mined Data

Mailing lists are the primary medium of communication in open source projects. For some projects the sheer volume of emails on the mailing lists becomes unmanageable and messages may begin to be ignored. This can have a number of negative effects on an open source project. We present a way to predict who is most likely to respond to an email, thus providing the potential of giving mailing list ...