第四范式下大数据处理模式的突破

Bingru Yang
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摘要

在数据从量变过程积累到质变过程(即数据智能)的临界点上,深刻的哲学思辨揭示:BDM工作在这个临界点上是最关键、最有价值的[33][34]。处于困惑状态的BDM不应该也无法继续海量数据挖掘的主流发展轨迹——高效可扩展的算法及其应用研究,因为存在算法运行的过程模型和更重要的内部机制的创造性研究。基于此,在近20多年的海量数据挖掘研究基础上[22][32],本文旨在实现与第四范式海量数据挖掘本质区别的BDM机制和模型的突破,即提供相对系统和完整的流程模型整体结构,为后续在某些具体环节的探索性和指导性方法论研究奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Breakthrough of the Big Data Process Model under the Fourth Paradigm
At the critical point of data accumulation from quantitative change process to qualitative change process (i.e. data intelligence), profound philosophical speculation reveals that: BDM work is most critical and valuable at this critical point [33] [34]. BDM which is in perplexed state shall not and unable to continue massive data mining mainstream development track -- efficient and scalable algorithm and its application research, because process model for algorithm operation and more important creative research of internal mechanism exist. With this fact, and based on massive data mining research for nearly more than 20 years [22][32], this thesis is intended to achieve breakthrough of BDM mechanism and model which has an essential distinction with massive data mining against the fourth paradigm, namely providing relatively systematic and complete overall structure of process model and laying a foundation for subsequent explorative and guiding methodology research on certain specific links.
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