MOA 12.03
Real Time Analytics for Data Streams
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Based on: "An Effective Evaluation Measure for Clustering on Evolving Data Streams" by Kremer H., Kranen P., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B. More...
Classes | |
class | Accuracy |
class | BasicClassificationPerformanceEvaluator |
Classification evaluator that performs basic incremental evaluation. More... | |
class | BasicClusteringPerformanceEvaluator |
Clustering evaluator that performs basic incremental evaluation. More... | |
class | BasicRegressionPerformanceEvaluator |
Regression evaluator that performs basic incremental evaluation. More... | |
interface | ClassificationMeasureCollection |
Classification Measure Collection interface that it is used to not appear in clustering. More... | |
interface | ClassificationPerformanceEvaluator |
Interface implemented by learner evaluators to monitor the results of the learning process. More... | |
class | CMM |
class | CMM_GTAnalysis |
class | EntropyCollection |
class | EWMAClassificationPerformanceEvaluator |
Classification evaluator that updates evaluation results using an Exponential Weighted Moving Average. More... | |
class | F1 |
class | FadingFactorClassificationPerformanceEvaluator |
Classification evaluator that updates evaluation results using a fading factor. More... | |
class | General |
class | LearningCurve |
Class that stores and keeps the history of evaluation measurements. More... | |
class | LearningEvaluation |
Class that stores an array of evaluation measurements. More... | |
interface | LearningPerformanceEvaluator |
Interface implemented by learner evaluators to monitor the results of the learning process. More... | |
class | MeasureCollection |
class | MembershipMatrix |
class | SilhouetteCoefficient |
class | SSQ |
class | StatisticalCollection |
class | WindowClassificationPerformanceEvaluator |
Classification evaluator that updates evaluation results using a sliding window. More... | |
class | WindowRegressionPerformanceEvaluator |
Regression evaluator that updates evaluation results using a sliding window. More... |
Based on: "An Effective Evaluation Measure for Clustering on Evolving Data Streams" by Kremer H., Kranen P., Jansen T., Seidl T., Bifet A., Holmes G., Pfahringer B.
in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (2011), pp. 868-876
http://dl.acm.org/citation.cfm?id=2020555
This class calculates error values for the found clustering, based on the "ground truth analysis"
in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (2011), pp. 868-876
http://dl.acm.org/citation.cfm?id=2020555
This class contains the so called "ground truth analysis".