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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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樓主: Hoover
51#
發(fā)表于 2025-3-30 10:42:00 | 只看該作者
Xiaohui Zou,Huajian Gou,Qiang Yang,Jian Li sustainable competitive advantage. This paper is entirely based on secondary data research, and accordingly the required analysis is done (Prof. John A. Deighton Harvard Business Review in Big data in marketing, 2016) [.].
52#
發(fā)表于 2025-3-30 12:31:23 | 只看該作者
https://doi.org/10.1007/978-981-16-2336-3on the forensics of big data systems. Since big data are scalable, high volume of data, which provides practical limitation for forensic investigation by using traditional approaches. Big data Forensic analytics provides new approaches to collect data, for analyzing collected data.
53#
發(fā)表于 2025-3-30 16:45:27 | 只看該作者
54#
發(fā)表于 2025-3-30 21:02:19 | 只看該作者
55#
發(fā)表于 2025-3-31 00:52:25 | 只看該作者
56#
發(fā)表于 2025-3-31 08:44:36 | 只看該作者
An Efficient Network for Lane Segmentationr has taken bold step to create a basic framework to measure individual performance on totally new perspective which is building over the famous concept created by Dr. Norton & Dr. Kaplan, ‘Balanced Scorecard’. This new concept and framework talks about mapping ‘Emotional Quotients’—i.e. Intelligenc
57#
發(fā)表于 2025-3-31 11:13:05 | 只看該作者
Understanding-based image analysis systems, independent variables while modeling. These variables are generally a weak indicator of churn. The main goal of this research is to provide a new mechanism to develop churn model by taking into account the shifts in activity patterns of service usages. In particular, we measured the customer activi
58#
發(fā)表于 2025-3-31 17:02:26 | 只看該作者
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