Compact Method for Analyzing Big Data
Abstract
Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented as, probabilistic model, possibility model, fuzzy model and variance model. A compact algorithm is illustrated also in this paper.
Keywords: Big Data, K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm, Compact Algorithm.
Cite this Article: Swati Jain, Vikas Kumar Jain, Sunil Kumar Kashyap. Compact Method for Analyzing Big Data. Journal of Advanced Database Management & Systems. 2020; 7(2): 5–14p.
Full Text:
PDFRefbacks
- There are currently no refbacks.
This site has been shifted to https://stmcomputers.stmjournals.com/