Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Valentina Emilia Balas,Neha Sharma,Amlan Chakrabar Conference proceedings 2

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Parallel Clustering for Data Mining in CRMto provide adequate support to the decision making process. BI represents a family of products that includes Data mining Algorithms, Data mining products for creating reports. Improving efficiency in this process is discussed in this work. The M-Clustering algorithm which is conceived in this work p

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Hybrid Kmeans with Improved Bagging for Semantic Analysis of Tweets on Social Causescation problem. The data that is available in the form of tweets on twitter can easily frame the insight of the public attitude towards the particular tweet. The proposed work is well planned to design as well as implement the best hybrid method that includes Hybrid Kmeans/Modified Kmeans (MKmeans)

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Subspace Clustering—A Surveyfurther classified as top-down and bottom-up algorithms depending on strategy applied to identify subspaces. Initial clustering in case of top-down algorithms is based on full set of dimensions and it then iterates to identify subset of dimensions which can better represent the subspaces by removing

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Valentina Emilia Balas,Neha Sharma,Amlan ChakrabarPresents the latest research findings in the areas of data management and data analytics.Discusses state-of-the-art topics as well as the challenges and solutions for future development.Serves as a re

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978-981-13-1401-8Springer Nature Singapore Pte Ltd. 2019

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