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Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges · arXivDesk

1503.00245Mar 1, 2015IEEE Multimedia Big Data (BigMM 2015)

Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges

Nima Bari, Roman Vichr, Kamran Kowsari, Simon Y. Berkovich

Databases Artificial Intelligence Information Retrieval Multimedia

Abstract

Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique. We focus on a novel approach to extract metaknowledge in multimedia datasets. Our collaboration has been an on-going task of studying the relational patterns between datapoints based on metafeatures extracted from metaknowledge in multimedia datasets. Those selected are significant to suit the mining technique we applied, Golay Code algorithm. In this research paper we summarize findings in optimization of metaknowledge representation for 23-bit representation of structured and unstructured multimedia data in order to

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The paper addresses: Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges.
Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique.