Unifying Structured Data as Graph for Data-to-Text Pre-Training by Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li

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Scene as Occupancy and Reconstruction: A Comprehensive Dataset for Unstructured Scene Understanding by Long Chen, Ruiqi Song, Hangbin Wu, Baiyong Ding, Lingxi Li, Fei-Yue Wang

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Standardizing free-text data exemplified by two fields from the Immune Epitope Database by Sebastian Duesing, Jason Bennett, James A. Overton, Randi Vita, Bjoern Peters

Subjects: “…Unstructured data…”
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CLUSTER STRUCTURES AND THEIR APPLICATIONS IN DATA MINING by V. V. Krasnoproshin, V. G. Rodchanka

“…A notion of cluster structures is introduced. These structures can be used to identify and present the hidden knowledge" in data mining. …”
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Structuring and validation of photogrammetric territorial data by Ugo Falchi, Mariasofia Paparo

“… In the loving memory of Mariasofia Paparo, this publication focuses on the validation procedures of photogrammetric geographic information and the production and interpretation of complex reports, which are essential for handling the vast amount of generated data. Furthermore, sources of error in the structuring of geographic data and the quality parameters and conformity criteria necessary for the utilization of such data within the national geodatabase have been investigated. …”
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Structural health monitoring for mechanical structures using multi-sensor data by Jia-Wei Xiang, Zhi-Bo Yang, Jose L Aguilar

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Doubly Structured Data Synthesis for Time-Series Energy-Use Data by Jiwoo Kim, Changhoon Lee, Jehoon Jeon, Jungwoong Choi, Joseph H. T. Kim

“…This paper introduces Doubly Structured Data Synthesis (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>DS</mi><mn>2</mn></msup></semantics></math></inline-formula>), a novel method to tackle privacy concerns in time-series energy-use data. …”
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Big Data Technology：Current Applications and Prospects by Jianxin Liao

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Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assessment Data by Wang KY, Mahesri M, Novoa-Laurentiev J, Bessette LG, York C, Zakoul H, Lee SB, Ngan K, Zhou L, Kim DH, Lin KJ

“…We applied an NLP approach to identify the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) scores from unstructured clinician notes in EHR. Using the NLP-extracted MoCA or MMSE scores from EHR, we compared mean differences of extracted MoCA or MMSE by cognition status determined by MDS (impaired vs intact cognition) and OASIS (severe impairment vs intact cognition) data, respectively.Results: Our study cohort had 7419 patients who had MDS (19.7%) or OASIS (80.3%) assessments, with a mean age of 80 (SD=7) years and 60% female. …”
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Structural Data Recognition With Graph Model Boosting by Tomo Miyazaki, Shinichiro Omachi

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AUTOMATED BIM ENTITY RECONSTRUCTION FROM UNSTRUCTURED 3D POINTCLOUDS by Jan Voříšek, Bořek Patzák, Edita Dvořáková, Daniel Rypl

“…Laser scanning is used widely in architecture and construction to document existing buildings by providing accurate data for creating a 3D model. The output is a set of data points in space, so-called point cloud. …”
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Cardinality-constrained structured data-fitting problems by Fan, Zhenan, Fang, Huang, Friedlander, Michael P.

“…A memory-efficient solution framework is proposed for the cardinality-constrained structured data-fitting problem. Dual-based atom-identification rules reveal the structure of the optimal primal solution from near-optimal dual solutions, which allows for a simple and computationally efficient algorithm that translates any feasible dual solution into a primal solution satisfying the cardinality constraint. …”
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Building a Data Store with the Dynamic Structure by Yu. N. Artamonov

“…A new logical model of the data warehouse with dynamic structure is proposed. …”
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Three-Way Merging Algorithm for Structured Data by Jan Janech, Patrik Hrkut, Matej Mesko, Marek Tavac

“…Since the diff3 algorithm is designed only for merging text files, we had to change it to enable data merging at the level of programming structures. …”
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Structure preserving t-SNE of matrix framed data by Soohyun Ahn, Johan Lim, Wei Jiang, Sungim Lee, Xinlei Wang

“…These elements can take various forms, such as scalars, vectors, time series, matrices, or arrays. Existing data visualization methods aim to represent data elements of different groups without considering the underlying two-dimensional structure present in matrix-framed data. …”
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Towards Structured Gaze Data Classification: The Gaze Data Clustering Taxonomy (GCT) by Yahdi Siradj, Kiki Maulana Adhinugraha, Eric Pardede

“…However, raw gaze data is often noisy and lacks inherent structure, making interpretation challenging. …”
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Structural separation of data property rights based on data factor circulation value chain by Lihua HUANG, Wanli DU, Biyu WU

Subjects: “…data factor;data property rights;market logic;data factor circulation value chain;structural separation…”
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Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance by Keith Marsolo, Lesley Curtis, Laura Qualls, Jennifer Xu, Yinghong Zhang, Thomas Phillips, C. Larry Hill, Gretchen Sanders, Judith C. Maro, Daniel Kiernan, Christine Draper, Kevin Coughlin, Sarah K. Dutcher, José J. Hernández‐Muñoz, Monique Falconer

“…Abstract Introduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues. (2) Identify issues of data completeness by comparing complementary data domains, stratifying by time, care setting, and provenance. …”
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Unstructured Electronic Health Records of Dysphagic Patients Analyzed by Large Language Models by Luisa Neubig, Deirdre Larsen, Melda Kunduk, Andreas M. Kist

“…We analyze diagnoses provided in unstructured free text that do not follow a standardized structure. …”
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Structural Stability of Pseudo-Parabolic Equations for Basic Data by Yanping Wang, Yuanfei Li

“…By extending the data at the finite end forward, we can establish the continuous dependence on the perturbation of base data.…”
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