The Scanian Economic-Demographic Database (SEDD) by Martin Dribe, Luciana Quaranta

“…The data for 1813-1967 was structured in the model of the Intermediate Data Structure (IDS). In addition to storing source data in the SEDD IDS tables, a wide range of individual- and context-level variables were constructed, which means that most types of analyses using SEDD can be conducted without the need of further elaboration of the data. …”
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Design of Updating Encryption Algorithm for Privacy Big Data Based on Consortium Blockchain Technology by Lei Liu, Xue Liu, Jiahua Wan

“…The source coding sequence of privacy big data is obtained, the security of network route query and identity is verified, and the update and extraction of user data access authority are realized. The data structure of encrypted block is generated by using consortium blockchain technology and updating homomorphic encryption technology to realize the updating encryption algorithm of privacy big data. …”
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Blockchain digital forensics: technology and architecture by FAN Wei, LI Haibo, ZHANG Zhujun

“…This framework integrated evidence information into the on-chain data structure and introduced a complementary graph analysis algorithm to standardize evidence collection across various scenarios. …”
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Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter by Shyamala Loganathan, Saswati Mukherjee

“…This research reports on an efficient data structure for resource management and resource scheduling technique in a private cloud environment and discusses a cloud model. …”
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Database energy saving strategy using blockchain and Internet of Things by Dexian Yang, Jiong Yu, Zhenzhen He, Ping Li

“…Additionally, the paper investigates the blockchain data structure and storage path by analyzing the spatial–temporal correlation properties of blockchain data. …”
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Research on Text Similarity Measurement Hybrid Algorithm with Term Semantic Information and TF-IDF Method by Fei Lan

“…Based on term similarity weighting tree (TSWT) data structure and the definition of semantic similarity information from the HowNet, the paper firstly discusses text preprocess and filter process and then utilizes the semantic information of those key terms to calculate similarities of text documents according to the weight of the features whose weight is greater than the given threshold. …”
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Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey by Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain

“…Bloom filter is a probabilistic data structure to filter a membership of a set. Bloom filter returns “true” or “false” with an error tolerance depending on the presence of the element in the set. …”
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The Scanian Economic-Demographic Database (SEDD) by Martin Dribe, Luciana Quaranta

“…The data for 1813-1967 was structured in the model of the Intermediate Data Structure (IDS). In addition to storing source data in the SEDD IDS tables, a wide range of individual- and context-level variables were constructed, which means that most types of analyses using SEDD can be conducted without the need of further elaboration of the data. …”
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Isolation of Karanjin from Pongamia Pinnata and Its Identification by Difference Analytical Techniques by Sushil Kumar Dhanmane, Faisal A. Salih

“…From TLC, HPL, IR, 1HNMR, 13CNMR spectra data, structure elucidation was done and the structure was confirmed as karanjin. …”
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Construction and Application of Music Audio Database Based on Collaborative Filtering Algorithm by Jianfei Zheng

“…This research uses Big Data and collaborative filtering algorithm technology to establish a new multilevel music audio database with discrete dynamic modeling characteristics of complex systems, which can greatly improve the data structure of each level of the database, so as to improve the efficiency and accuracy of retrieving various types of music and audio files in the database.…”
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Developing a Method for Building Business Process Models Based on Graph Neural Networks in the Absence of Task Identifier Data by Oleg Kazakov, Natalya Azarenko, Irina Kozlova

“…The study employs a combination of a weighted adjacency matrix and an adjacency matric accounting for the graph data structure. Textual information about the tasks involved in the business process is considered when implementing the feature matrix using embeddings. …”
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Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles by Daniela Galatro, Manav Shroff, Cristina H. Amon

“…Considerations for data structure and representation learning are presented, as well as a workflow to enhance the application of transfer learning for predicting aging in LiBs.…”
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A Graph-Based Method for IFC Data Merging by Qin Zhao, Yuchao Li, Xinhong Hei, Mingsong Yang

“…The IFC data are represented as a graphical data structure, which completely preserves the relationship between IFC entities. …”
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A New Method to Construct the KD Tree Based on Presorted Results by Yu Cao, Huizan Wang, Wenjing Zhao, Boheng Duan, Xiaojiang Zhang

“…K-dimensional (KD) tree, as a classical data structure, has been widely used in high-dimensional vital data search. …”
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The Groningen Integral History Cohort Database. Development, Design and Output by Richard Paping, Dinos Sevdalakis

“…In the technical part of the article, we provide an extensive overview of the available variables and summarize the transformation of the rural part of the database into an Intermediate Data Structure (IDS). Since the early 1990s, historians from the University of Groningen have used GIHCD in quite some publications. …”
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Performance Analysis of DAG-Based Blockchain Systems Based on Markovian Arrival Process by Xing-Shuo Song, Shi-Yong Li

“…This article analyzes the performance of IOTA’s data structure Tangle based on the Markovian arrival process (MAP). …”
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A new method for mining event influence propagation trees from spatio-temporal data by FANG Dianwu, WANG Lizhen, ZOU Muquan, DENG Fei

“…A three-layer Hashmap data structure was designed to store the spatio-temporal proximity relationship between events, virtualizing the information of event influence propagation trees without creating entities of trees. …”
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Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health by Lanfeng Zhou

“…Secondly, through the expansion and utilization of multi-layer neuron self-coding neural network, the psychological health of college students is evaluated and analyzed in the psychological discipline, the discrete data structure is established by using the relevant psychological data, the psychological behavior of college students is analyzed, summarized, and classified, and the data model is filled to judge the mental health status of college students. …”
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An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR by Qiang Shang, Zhaosheng Yang, Song Gao, Derong Tan

“…Firstly, the patterns of missing traffic data are analyzed and the representation of missing traffic data is given using matrix-based data structure. Then, traffic data from urban expressway and urban arterial road are used to analyze spatial-temporal correlation of the traffic data for the determination of the proposed method input. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Traditional time series forecasting models, such as ARIMA and LSTM, often rely on assumptions regarding data structure, limiting their flexibility to estimate volatility or account for external shocks effectively. …”
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