Structured digital tables on the Semantic Web: toward a structured digital literature by Kei‐Hoi Cheung, Matthias Samwald, Raymond K Auerbach, Mark B Gerstein

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Vario-scale data structures by Radan Šuba

“…Moreover, continuous generalisation of real world features is based on the structure that can be used for presenting a smooth zoom action to the user. …”
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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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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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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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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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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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ICRSSD: Identification and Classification for Railway Structured Sensitive Data by Yage Jin, Hongming Chen, Rui Ma, Yanhua Wu, Qingxin Li

Subjects: “…structured data…”
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Expanding the Reach of Structured EHR Data with Clinical Notes by Seda Bilaloglu, Vincent J Major, Himanshu Grover, Isabel Metzger, Yindalon Aphinyanaphongs

“…Many existing methods rely on structured electronic health record data which may limit generalizability across sites and restrict performance for patients with less documented history. …”
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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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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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SAFlex: A structural alphabet extension to integrate protein structural flexibility and missing data information. by Ikram Allam, Delphine Flatters, Géraldine Caumes, Leslie Regad, Vincent Delos, Gregory Nuel, Anne-Claude Camproux

“…Secondly, our new algorithm deals with the missing data in the protein structure files (concerning more than 75% of the proteins from the Protein Data Bank) in a rigorous probabilistic framework. …”
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Kernel generalized least squares regression for network-structured data by Edward Antonian, Gareth W. Peters, Michael Chantler

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Mining Local Specialties for Travelers by Leveraging Structured and Unstructured Data by Kai Jiang, Like Liu, Rong Xiao, Nenghai Yu

“…To solve this problem, this paper presents a local specialty mining algorithm, which utilizes both the structured data from local review websites and the unstructured user-generated content (UGC) from community Q&A websites, and travelogues. …”
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Synthesizing Explainability Across Multiple ML Models for Structured Data by Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M. Gutierrez, Jose G. Romano, Tatjana Rundek

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Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…IntroductionFourier base fitting for masked or incomplete structured data holds significant importance, for example in biomedical image data processing. …”
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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 Data Recognition With Graph Model Boosting by Tomo Miyazaki, Shinichiro Omachi

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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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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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