Decision Tree Algorithms For Concept Drifted Data Stream - Mehta, Rupa;Mistry, Naresh;Raghuwanshi, Mukesh
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The Era of advances in computing power have arisen the field of machine learning; with the objective to find computationally efficient solutions to data analysis problems. Recent machine learning and statistical analysis techniques have been adopted and modified in order to address the problem of very large databases. The modern application deals with online data sources and so the data streams. The generation of continuous streams of information has pioneered storage challenges along with computation and communication capabilities in computing systems.

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Produktbeschreibung
The Era of advances in computing power have arisen the field of machine learning; with the objective to find computationally efficient solutions to data analysis problems. Recent machine learning and statistical analysis techniques have been adopted and modified in order to address the problem of very large databases. The modern application deals with online data sources and so the data streams. The generation of continuous streams of information has pioneered storage challenges along with computation and communication capabilities in computing systems.
Autorenporträt
Dr. Rupa Mehta obtained her M.Tech and PhD from SVNIT, Surat (Institute of National Importance). She is currently working as a Head and Associate Professor at Department of Computer Engineering, SVNIT, Surat having more than 25 years of teaching and research experience and has many papers published in renowned international journals and conferences.