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Jurnal

大数据 (2026)

ISSN 2096-0271 · China InfoCom Media Group · 1.183 artikel di indeks

  1. Artikel Jurnal

    An exploration of a registration method for data intellectual property rightsLI Linqi,LI Xiaoyu

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    In the digital economy era, data, as a key production factor, has its property rights registration system playing a significant role in promoting the market-oriented circulation of data elements. The direction for data intellectual property protection was clarified at the national policy level, and…

  2. Artikel Jurnal

    Research on Disaster Event Situational Awareness Based on Social Media Big Data

    GONG Wanyuan; WANG Huiying; JIANG Xinxi dkk.

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    Accurate perception of disaster event dynamics relies on the timely and effective acquisition of relevant data carrying event information, as well as in-depth understanding and analysis of such data. Social media big data contains a wealth of event information. However, its characteristics of being…

  3. Artikel Jurnal

    Stance Detection Method Based on Knowledge Augmentation and Adversarial Training

    HUANG Liyuan; ZHANG Jin; JIN Xiaolong dkk.

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    Stance detection is a crucial research direction in natural language processing, aiming to determine the author's supportive, opposing, or neutral attitude towards a specific target. To address challenges such as complex linguistic expressions, insufficient domain-specific knowledge, and weak model…

    Juga tersedia di: DOAJ

  4. Artikel Jurnal

    DEIR: Dialogue Generation Enhancement via Implicit Intent Detection and Retrieval Models

    WU Zexian; ZHANG Yanbin

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    Addressing the limitations of current dialogue systems in implicit intent understanding and knowledge accuracy, this paper proposes a Dialogue generation Enhancement framework based on Implicit intent detection and Retrieval models (DEIR). This framework departs from the traditional explicit intent…

  5. Artikel Jurnal

    A Data Model Transformation Approach for Integrated Management and Analysis of Industrial Time-Series Data

    LI Shuolin; LIN Xintao; TIAN Yuan dkk.

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    In the context of Industrial Internet of Things (IIoT), time-series data represents the digitized records of physical quantities from devices—akin to an electrocardiogram for equipment. Such data plays a vital role in equipment status monitoring, fault diagnosis and early warning, and process…

    Juga tersedia di: DOAJ

  6. Artikel Jurnal

    Deep Thinking on the Discipline of Data as Productive Factor

    ZHOU Aoying

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    The recognition of data as the fifth factor of production represents a significant theoretical breakthrough. Unlike traditional factors of production such as land and capital, data is non-scarce; the more it is used, the more it accumulates and the greater its value becomes. Current artificial…

  7. Artikel Jurnal

    An applied study of privacy preservation on the government affairs based on federated unlearning

    XIAO Chuqiao; XUE Lide; NI Xiong dkk.

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    Data has now become one of the key factors of production. Protecting data privacy during data circulation has emerged as a critical research focus. Federated Unlearning (FU) can effectively undo the influence of data on federated learning (FL) models, thereby further safeguarding user privacy…

  8. Artikel Jurnal

    A Survey on the Applications of Large Language Models in Recommender Systems

    XU Xiaoying; LIAO Wenjie; WANG Hanlin

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    The rise of large language models (LLMs) has brought new opportunities torecommender systems. However, existing research mainly focuses on the technical frameworks and engineering implementations of LLM-based recommender systems, lacking a systematic review of this interdisciplinary field. In…

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  9. Artikel Jurnal

    Node Importance Evaluation Model for Educational Knowledge Graphs: Based on Topology Structure and Similarity Information Fusion

    LI Meizi; WU Yunfang; LU Shuyi dkk.

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    Educational Knowledge Graphs are important tools for representing relationships between knowledge and concepts in the field of education. Understanding and evaluating the importance of entities in such graphs is crucial for tasks like educational resource management and learning path…

  10. Artikel Jurnal

    End-to-End Seismic Signals Denoising via Deep Residual Convolution and Self-Attention Mechanisms

    ZHAO BoTao; KANG ZuHeng; HE YaYun dkk.

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    Denoising of seismic waveform signals is crucial for seismic monitoring and seismological research. To this end, we propose an end-to-end deep learning method for denoising seismic waveforms. The method combines the deep convolutional network with multi-head self-attention mechanism. We employ…

  11. Artikel Jurnal

    Construction of the Trusted Data Space Based on Reality-Data Integration

    LI Lin; REN Fuhu; WANG Yuqi dkk.

    大数据, Pp 1-21 (2026) · 2026 · Tionghoa · DOAJ

    Facing the challenges of large-scale circulation of data factors, from the perspective of systems theory, a comprehensive solution of “the trusted data space (TDS) based on reality-data integration” is introduced. This solution is comprised primarily of: the design of institutional rules for the…

  12. Artikel Jurnal

    Exploration of a registration method for data intellectual property

    LI Linqi; LI Xiaoyu

    大数据, Pp 1-16 (2026) · 2026 · Tionghoa · DOAJ

    In the digital economy era, as a key production factor, the data property rights registration system of data plays a significant role in promoting the market-oriented circulation of data elements. The direction for data intellectual property protection has been clarified at the national policy…

  13. Artikel Jurnal

    Optimization of the Hadoop ecosystem b ased on the dynamic trade-off model and SDAPC framework: cross-layer storage and computation synergy and trustworthy scheduling strategies

    Ming Long; Hu Jianlong; Zhang Xinyi dkk.

    大数据, Pp 1-20 (2026) · 2026 · Tionghoa · DOAJ

    To address the core bottlenecks of high latency and low utilization in Hadoop ecosystem resource scheduling for the Zettabyte (ZB) era, this study proposes a cross-layer collaborative optimization method driven by a dynamic trade-off model. A SDAPC collaborative optimization framework integrating…

  14. Artikel Jurnal

    Exploring data governance pathways for grassroots government in the context of trusted data space

    ZHANG Guangyu; LI Yiheng

    大数据, Pp 1-16 (2026) · 2026 · Tionghoa · DOAJ

    Against the backdrop of advancing national data strategies and the construction of digital government, trusted data space, as the institutional vehicle for achieving high-quality data governance, is increasingly becoming an important foundation for the development and utilization of government…

  15. Artikel Jurnal

    Railway data management architecture and typical scenario application schemes based on data weaving

    SUN Siqi; ZOU Dan; ZHANG Kai dkk.

    大数据, Pp 1-14 (2026) · 2026 · Tionghoa · DOAJ

    With the deepening of digital transformation in the railway industry, efficient management and integrated utilization of multi-source heterogeneous data have become key challenges for improving operational efficiency. This paper proposes a novel railway data management architecture based on data…

  16. Artikel Jurnal

    Construction and Practice of a Governance System for High-Quality Enterprise Credit Datasets

    WU Xinli; SHI Junling

    大数据 (2026) · 2026 · Tionghoa · DOAJ

    To address the challenges of multi-source heterogeneity, insufficient timeliness, inconsistent quality, and scattered security management in enterprise credit data under high-timeliness business scenarios, this paper proposes a full-link real-time data governance framework integrating data quality…

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