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

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發(fā)表于 2025-3-28 16:40:09 | 只看該作者
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發(fā)表于 2025-3-29 05:36:14 | 只看該作者
Digital Data Preservation—A Viable Solutionrgue that migrating digital data on newer media at regular intervals will solve this issue. We have an even more important issue of digital data being inaccessible or not readable. This happens if software interpreting the data becomes obsolete. In such case the data is lost, as a bit stream is mean
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發(fā)表于 2025-3-29 17:48:13 | 只看該作者
Big Data Analytics Provides Actionable Insights into Ship Emissionse growth for any logistics company. The Port of Rotterdam (The Netherlands) is using big data analytics to gain actionable insights into these emissions. Our case study deals with the implementation of the emission calculations and reporting implemented in Hadoop. In the analytical setup we introduc
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發(fā)表于 2025-3-29 19:47:02 | 只看該作者
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發(fā)表于 2025-3-30 00:07:40 | 只看該作者
Hybrid Kmeans with Improved Bagging for Semantic Analysis of Tweets on Social Causes any item, administration, or identity. Social network data is one of the most effective and accurate indicators of public sentiment. Analysis of the mood of public on a particular social issue can be easily judged by several methods developed by the technicians. In this paper, analysis of the mood
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發(fā)表于 2025-3-30 05:35:39 | 只看該作者
Subspace Clustering—A Surveygy, etc. As a result of the advances in the data gathering and data storage technologies, many a times a single data object is often represented by many attributes. Although more data may provide new insights, it may also hinder the knowledge discovery process by cluttering the interesting relations
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