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Journal articles on the topic 'Visualization of User Logs'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Fu, Bo, Ben Steichen, and Wenlu Zhang. "Towards Adaptive Ontology Visualization — Predicting User Success from Behavioral Data." International Journal of Semantic Computing 13, no. 04 (2019): 431–52. http://dx.doi.org/10.1142/s1793351x1940018x.

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Ontology visualization plays an important role in human data interaction by offering clarity and insight for complex structured datasets. Recent usability studies of ontology visualization techniques have added to our understanding of desired features when assisting users in the interactive process. However, user behavioral data such as eye gaze and event logs have largely been used as indirect evidence to explain why a user may have carried out certain tasks in a controlled environment, as opposed to direct input that informs the underlying visualization system. Although findings from usabili

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Murphy, Sarah Anne. "A non-programmers guide to enhancing and making sense of EZ Proxy logs." Performance Measurement and Metrics 20, no. 3 (2019): 186–95. http://dx.doi.org/10.1108/pmm-08-2019-0034.

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Purpose Libraries throughout the world use OCLC’s EZproxy software to manage access to e-resources. When cleaned, processed, visualized and enhanced, these logs paint a valuable picture of a library’s impact on researcher’s lives. The purpose of this paper is to share techniques and procedures for enhancing and de-identifying EZproxy logs using Tableau, a data analytics and visualization software, and Tableau Prep, a tool used for cleaning, combining and shaping data for analysis. Design/methodology/approach In February 2018, The Ohio State University Libraries established an automated daily p

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Ulrich, Thomas A., Ronald L. Boring, Timothy McJunkin, and Aunshul Rege. "A visualization approach to performing task analysis of time series event log data from a microworld simulation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1867–71. http://dx.doi.org/10.1177/1071181319631534.

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This paper presents a novel visualization technique to perform a task analysis using only information from data logs collected from users interacting with the system. Traditional task analysis includes data acquired from system specifications, observations of the user interacting with the system, and interviews with the user. There are however situations, in which this information is not available such as forensic investigations. In situations in which these other data sources are available, the visualization approach provides an additional tool the analysist can use to further their understan

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da Silva Franco, Roberto Yuri, Rodrigo Santos do Amor Divino Lima, Rafael do Monte Paixão, Carlos Gustavo Resque dos Santos, and Bianchi Serique Meiguins. "UXmood—A Sentiment Analysis and Information Visualization Tool to Support the Evaluation of Usability and User Experience." Information 10, no. 12 (2019): 366. http://dx.doi.org/10.3390/info10120366.

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This paper presents UXmood, a tool that provides quantitative and qualitative information to assist researchers and practitioners in the evaluation of user experience and usability. The tool uses and combines data from video, audio, interaction logs and eye trackers, presenting them in a configurable dashboard on the web. The UXmood works analogously to a media player, in which evaluators can review the entire user interaction process, fast-forwarding irrelevant sections and rewinding specific interactions to repeat them if necessary. Besides, sentiment analysis techniques are applied to video

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Nesterova, Galina, Igor Yeltsov, Andrey Sobolev, and Irina Surodina. "MULTIPHYSICAL RESERVOIR MODEL COLLECTION ATLAS MPHM." Interexpo GEO-Siberia 2, no. 3 (2019): 63–71. http://dx.doi.org/10.33764/2618-981x-2019-2-3-63-71.

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ATLAS MPhM is collection (database) of multiphysical models of typical reservoirs of the Western Siberia oilfields. A systematic set is constantly updated with models that are built for the received practical data. ATLAS MPhM can be used to estimate the influence of model parameters on the mud invading into the reservoir, electromagnetic logs and interpretation of geophysical and geotechnological well data based on multiphysical simulation. The ATLAS MPhM includes visualization tools that allow to observe evolution of the borehole environment and well logs.

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Novikova, Evgenia, Igor Kotenko, and Ivan Murenin. "The Visual Analytics Approach for Analyzing Trajectories of Critical Infrastructure Employers." Energies 13, no. 15 (2020): 3936. http://dx.doi.org/10.3390/en13153936.

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Employees of different critical infrastructures, including energy systems, are considered to be a security resource, and understanding their behavior patterns may leverage user and entity behavior analytics and improve organization capabilities in information threat detection such as insider threat and targeted attacks. Such behavior patterns are particularly critical for power stations and other energy companies. The paper presents a visual analytics approach to the exploratory analysis of the employees’ routes extracted from the logs of the access control system. Key elements of the approach

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Thayer, Jeritt G., Daria F. Ferro, Jeffrey M. Miller, et al. "Human-centered development of an electronic health record-embedded, interactive information visualization in the emergency department using fast healthcare interoperability resources." Journal of the American Medical Informatics Association 28, no. 7 (2021): 1401–10. http://dx.doi.org/10.1093/jamia/ocab016.

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Abstract Objective Develop and evaluate an interactive information visualization embedded within the electronic health record (EHR) by following human-centered design (HCD) processes and leveraging modern health information exchange standards. Materials and Methods We applied an HCD process to develop a Fast Healthcare Interoperability Resources (FHIR) application that displays a patient’s asthma history to clinicians in a pediatric emergency department. We performed a preimplementation comparative system evaluation to measure time on task, number of screens, information retrieval accuracy, co

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Hurley, Neil F., and Tuanfeng Zhang. "Method To Generate Full-Bore Images Using Borehole Images and Multipoint Statistics." SPE Reservoir Evaluation & Engineering 14, no. 02 (2011): 204–14. http://dx.doi.org/10.2118/120671-pa.

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Summary Borehole-image logs, which are produced by tools being lowered into a well, provide oriented electrical and acoustic maps of the rocks and fluids encountered in the borehole. Electrical borehole images in water-based (conducting) and oil-based (nonconducting) muds are generated from electrodes arranged in fixed patterns on pads that are pressed against the borehole wall. Depending on the borehole diameter, gaps nearly always occur between pads. Because of these gaps, it is common to have nonimaged parts of the borehole wall. Full-bore images are complete, 360° views of the borehole wal

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Solano-Roman, A., C. Cruz-Castillo, D. Offenhuber, and A. Colubri. "NX4: a web-based visualization of large multiple sequence alignments." Bioinformatics 35, no. 22 (2019): 4800–4802. http://dx.doi.org/10.1093/bioinformatics/btz457.

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Abstract Summary Multiple Sequence Alignments (MSAs) are a fundamental operation in genome analysis. However, MSA visualizations such as sequence logos and matrix representations have changed little since the nineties and are not well suited for displaying large-scale alignments. We propose a novel, web-based MSA visualization tool called NX4, which can handle genome alignments comprising thousands of sequences. NX4 calculates the frequency of each nucleotide along the alignment and visually summarizes the results using a color-blind friendly palette that helps identifying regions of high gene

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Pratt, Henry, and Zhiping Weng. "LogoJS: a Javascript package for creating sequence logos and embedding them in web applications." Bioinformatics 36, no. 11 (2020): 3573–75. http://dx.doi.org/10.1093/bioinformatics/btaa192.

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Abstract Summary Sequence logos were introduced nearly 30 years ago as a human-readable format for representing consensus sequences, and they remain widely used. As new experimental and computational techniques have developed, logos have been extended: extra symbols represent covalent modifications to nucleotides, logos with multiple letters at each position illustrate models with multi-nucleotide features and symbols extending below the x-axis may represent a binding energy penalty for a residue or a negative weight output from a neural network. Web-based visualization tools for genomic data

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Zhao, Yiming, Baitong Chen, Jin Zhang, Ying Ding, Jin Mao, and Lihong Zhou. "An investigation on the evolution of diabetes data in social Q&A logs." Data and Information Management 2, no. 1 (2018): 37–48. http://dx.doi.org/10.2478/dim-2018-0002.

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AbstractThis study investigates the evolution of diabetics’ concerns based on the analysis of terms in the Diabetes category logs on the Yahoo! Answers website. Two sets of question-and-answer (Q&A) log data were collected: one from December 2, 2005 to December 1, 2006; the other from April 1, 2013 to March 31, 2014. Network analysis and at-test were performed to analyze the differences in diabetics’ concerns between these two data sets. Community detection and topic evolution were used to reveal detailed changes in diabetics’ concerns in the examined period. Increases in average node degr

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Hinojosa-Prieto, Hector R., Pantelis Soupios, and Pavel Barsukov. "Subsurface Geological Characterization of the Late Neogene–Quaternary Argive Basin, Peloponnese, Greece Using Transient Electromagnetic Data and Vintage Stratigraphic Logs." Geosciences 11, no. 8 (2021): 317. http://dx.doi.org/10.3390/geosciences11080317.

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The onshore and offshore clastic deposits of the Argive Basin and the Argolic Gulf, respectively, in Peloponnese, Greece, form a Late Neogene–Quaternary half-graben that connects with the Aegean Sea. The onshore Late Neogene–Quaternary sequence, comprised of chaotically intercalated cohesive and granular clastic deposits, is in angular unconformity with bedrock comprised of Triassic–Upper Cretaceous strongly-weathered, highly-fractured karstic limestones thrusted against Paleogene flysch deposits. While the surface geology of the Argive Basin is well-known, the subsurface geology remains both

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Mao, B., L. Harrie, J. Cao, Z. Wu, and J. Shen. "NoSQL Based 3D City Model Management System." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 169–73. http://dx.doi.org/10.5194/isprsarchives-xl-4-169-2014.

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To manage increasingly complicated 3D city models, a framework based on NoSQL database is proposed in this paper. The framework supports import and export of 3D city model according to international standards such as CityGML, KML/COLLADA and X3D. We also suggest and implement 3D model analysis and visualization in the framework. For city model analysis, 3D geometry data and semantic information (such as name, height, area, price and so on) are stored and processed separately. We use a Map-Reduce method to deal with the 3D geometry data since it is more complex, while the semantic analysis is m

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Lee, Jeong-Woo, Ki-Yong Choi, and Jung-Won Lee. "Collecting Big Data from Automotive ECUs beyond the CAN Bandwidth for Fault Visualization." Mobile Information Systems 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/4395070.

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A hardware-in-the-loop (HiL) test is performed to verify the software functions mounted on automotive electronic control units (ECUs). However, the characteristics of HiL test limit the usage of common debugging techniques. Meanwhile, the logs of how the program uses memory can be utilized as debugging information collected by the controller area network (CAN). However, when the 32 KB memory is observed with 10 ms period, about 96% of the data on each cycle is lost, since the CAN only can transfer 1.25 KB of data at each cycle. Therefore, to overcome the above limitations, in this study, the m

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Prandi, F., M. Soave, F. Devigili, M. Andreolli, and R. De Amicis. "Services Oriented Smart City Platform Based On 3d City Model Visualization." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4 (April 23, 2014): 59–64. http://dx.doi.org/10.5194/isprsannals-ii-4-59-2014.

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The rapid technological evolution, which is characterizing all the disciplines involved within the wide concept of smart cities, is becoming a key factor to trigger true user-driven innovation. However to fully develop the Smart City concept to a wide geographical target, it is required an infrastructure that allows the integration of heterogeneous geographical information and sensor networks into a common technological ground. In this context 3D city models will play an increasingly important role in our daily lives and become an essential part of the modern city information infrastructure (S

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Yau, Ng Qi, and Wan Zainon. "UNDERSTANDING WEB TRAFFIC ACTIVITIES USING WEB MINING TECHNIQUES." International Journal of Engineering Technologies and Management Research 4, no. 9 (2020): 18–26. http://dx.doi.org/10.29121/ijetmr.v4.i9.2017.96.

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Web Usage Mining is a computational process of discovering patterns in large data sets involving methods using the artificial intelligence, machine learning, statistical analysis and database systems with the goal to extract valuable information from accessing server logs of World Wide Web data repositories and transform it into an understandable structure for further understanding and use. Main focus of this paper will be centered on exploring methods that expedites the log mining process and present the result of log mining process through data visualization and compare data-mining algorithm

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Ahmad, Israr, Munam Ali Shah, Hasan Ali Khattak, Zoobia Ameer, Murad Khan, and Kijun Han. "FIViz: Forensics Investigation through Visualization for Malware in Internet of Things." Sustainability 12, no. 18 (2020): 7262. http://dx.doi.org/10.3390/su12187262.

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Adoption of the Internet of Things for the realization of smart cities in various domains has been pushed by the advancements in Information Communication and Technology. Transportation, power delivery, environmental monitoring, and medical applications are among the front runners when it comes to leveraging the benefits of IoT for improving services through modern decision support systems. Though with the enormous usage of the Internet of Medical Things, security and privacy become intrinsic issues, thus adversaries can exploit these devices or information on these devices for malicious inten

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Jones, Val, Richard Bults, Rene de Wijk, Ing Widya, Ricardo Batista, and Hermie Hermens. "Experience with Using the Sensewear BMS Sensor System in the Context of a Health and Wellbeing Application." International Journal of Telemedicine and Applications 2011 (2011): 1–18. http://dx.doi.org/10.1155/2011/671040.

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An assessment of a sensor designed for monitoring energy expenditure, activity, and sleep was conducted in the context of a research project which develops a weight management application. The overall goal of this project is to affect sustainable behavioural change with respect to diet and exercise in order to improve health and wellbeing. This paper reports results of a pretrial in which three volunteers wore the sensor for a total of 11 days. The aim was to gain experience with the sensor and determine if it would be suitable for incorporation into the ICT system developed by the project to

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De Keyser, Thomas, Essam Saeid, Christopher G. St C. Kendall, and James Kellogg. "Normalized and color-filled logarithmic gamma-ray logs to enhance subsurface stratigraphic interpretation of carbonates and siliciclastics." Interpretation 8, no. 1 (2020): B1—B11. http://dx.doi.org/10.1190/int-2018-0247.1.

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Modern petrophysical software has broad capabilities for the display and manipulation of subsurface digital log data and for its integration with core data. Color and scale are two of the most important display attributes that can be used to enhance the visualization and interpretation of rock properties. The gamma-ray (GR) log, the most important log used in subsurface interpretation, is conventionally displayed on a linear scale of American Petroleum Institute (API) units. This makes it difficult to interpret in very clean lithologies with low API values or where the range of values is very

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Nwohiri, A. M., and F. T. Sonubi. "Deploying data mining techniques to gain deeper insight into Nigerian customers' financial activities." Nigerian Journal of Technology 39, no. 2 (2020): 553–61. http://dx.doi.org/10.4314/njt.v39i2.26.

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Presently, Nigerian banks issue account statements in a tabular flat form. These statements mainly show basic logs of credit and debit transactions. They do not offer a deeper insight into the pure nature of transactions. Moreover, they lack rich mine-able data, and rather contain basic data tables that do not provide enough insights into customers' monthly/weekly/yearly expenses and earnings. In today’s fast-paced digital world, where information processing methods are rapidly changing, customers need not just a basic table of transactions but deeper analysis and detail report of their financ

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Amo, Daniel, Sandra Cea, Nicole Marie Jimenez, Pablo Gómez, and David Fonseca. "A Privacy-Oriented Local Web Learning Analytics JavaScript Library with a Configurable Schema to Analyze Any Edtech Log: Moodle’s Case Study." Sustainability 13, no. 9 (2021): 5085. http://dx.doi.org/10.3390/su13095085.

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Educational institutions are transferring analytics computing to the cloud to reduce costs. Any data transfer and storage outside institutions involve serious privacy concerns, such as student identity exposure, rising untrusted and unnecessary third-party actors, data misuse, and data leakage. Institutions that adopt a “local first” approach instead of a “cloud computing first” approach can minimize these problems. The work aims to foster the use of local analytics computing by offering adequate nonexistent tools. Results are useful for any educational role, even investigators, to conduct dat

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Kumarapathirana, K. P. S. D. "Using Data Mining for Improving Education of University Students – A Survey." International Journal for Innovation Education and Research 6, no. 9 (2018): 78–83. http://dx.doi.org/10.31686/ijier.vol6.iss9.1155.

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Data mining combines machine learning, statistical and visualization techniques to discover and extract knowledge. Student retention is an indicator of academic performance and enrolment management of the university. Poor student retention could reflect badly on the university. Universities are facing the immense and quick growth of the volume of educational data stored in different types of databases and system logs. Moreover, the academic success of students is another major issue for the management in all professional institutes. So the early prediction to improve the student performance th

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Ball, Vaughn, Luis Tenorio, Christian Schiøtt, Michelle Thomas, and J. P. Blangy. "Three-term amplitude-variation-with-offset projections." GEOPHYSICS 83, no. 5 (2018): N51—N65. http://dx.doi.org/10.1190/geo2017-0763.1.

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A three-term (3T) amplitude-variation-with-offset projection is a weighted sum of three elastic reflectivities. Parameterization of the weighting coefficients requires two angle parameters, which we denote by the pair [Formula: see text]. Visualization of this pair is accomplished using a globe-like cartographic representation, in which longitude is [Formula: see text], and latitude is [Formula: see text]. Although the formal extension of existing two-term (2T) projection methods to 3T methods is trivial, practical implementation requires a more comprehensive inversion framework than is requir

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Lafontaine, Adam T., Bruce J. Mayer, and Kazuya Machida. "Dynalogo: an interactive sequence logo with dynamic thresholding of matched quantitative proteomic data." Bioinformatics 36, no. 5 (2019): 1632–33. http://dx.doi.org/10.1093/bioinformatics/btz766.

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Abstract Summary Current web-based sequence logo analyses for studying domain–peptide interactions are often conducted only on high affinity binders due to conservative data thresholding. We have developed Dynalogo, a combination of threshold varying tool and sequence logo generator written in the R statistical programming language, which allows on-the-fly visualization of binding specificity over a wide range of affinity interactions. Hence researchers can easily explore their dataset without the constraint of an arbitrary threshold. After importing quantitative data files, there are various

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Zhou, Peng, Yan Liu, Mengjia Zhao, and Xin Lou. "A Proof of Concept Study for Criminal Network Analysis with Interactive Strategies." International Journal of Software Engineering and Knowledge Engineering 27, no. 04 (2017): 623–39. http://dx.doi.org/10.1142/s0218194017500231.

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The communication data are becoming increasingly important for criminal network analysis nowadays, and these data provide a digital trace which can be regarded as a hidden clue to support the crack of criminal cases. Additionally, performing a timely and effective analysis on it can predict criminal intents and take efficient actions to restrain and prevent crimes. The primary work of our research is to suggest an analytical process with interactive strategies as a solution to the problem of characterizing criminal groups constructed from the communication data. It is expected to assist law en

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Ha, Hyoji, Hyunwoo Han, and Kyungwon Lee. "A Visualization System for Exploring Logo Trend and Design Shape Patterns." Applied Sciences 10, no. 13 (2020): 4579. http://dx.doi.org/10.3390/app10134579.

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A logo is an effective way of expressing a brand’s identity and an essential element in conveying the values and image of the company. The development process of a competitive logo should be based on a design that is future-proof in a rapidly changing global market; hence, understanding the design trends for successful logo design is key. In this study, the design shape elements of logo trend models were analyzed and made into a database. Then, a trend analysis system was produced using radial visualization (RadViz) and circular parallel coordinates data visualization techniques. RadViz allows

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Fernández-Álvarez, Daniel, Johannes Frey, Jose Emilio Labra Gayo, Daniel Gayo-Avello, and Sebastian Hellmann. "Approaches to measure class importance in Knowledge Graphs." PLOS ONE 16, no. 6 (2021): e0252862. http://dx.doi.org/10.1371/journal.pone.0252862.

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The amount, size, complexity, and importance of Knowledge Graphs (KGs) have increased during the last decade. Many different communities have chosen to publish their datasets using Linked Data principles, which favors the integration of this information with many other sources published using the same principles and technologies. Such a scenario requires to develop techniques of Linked Data Summarization. The concept of a class is one of the core elements used to define the ontologies which sustain most of the existing KGs. Moreover, classes are an excellent tool to refer to an abstract idea w

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Yeste, Luis Miguel, Saturnina Henares, Neil McDougall, Fernando García-García, and César Viseras. "Towards the multi-scale characterization of braided fluvial geobodies from outcrop, core, ground-penetrating radar and well log data." Geological Society, London, Special Publications 488, no. 1 (2018): 73–95. http://dx.doi.org/10.1144/sp488.3.

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AbstractThe integrated application of advanced visualization techniques – validated against outcrop, core and gamma ray log data – was found to be crucial in characterizing the spatial distribution of fluvial facies and their inherent permeability baffles to a centimetre-scale vertical resolution. An outcrop/behind outcrop workflow was used, combining the sedimentological analysis of a perennial deep braided outcrop with ground-penetrating radar profiles, behind outcrop optical and acoustic borehole imaging, and the analyses of dip tadpoles, core and gamma ray logs. Data from both the surface

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Aibaidula, Abuduwali, and George McMechan. "Inversion and interpretation of a 3D seismic data set from the Ouachita Mountains, Oklahoma." GEOPHYSICS 74, no. 2 (2009): B37—B45. http://dx.doi.org/10.1190/1.3073005.

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Acoustic impedance inversion (AI) and simultaneous angle-dependent inversion (SADI) of a 3D seismic data set characterize reservoirs of Mississippian Morrowan age in the triangle zone of the frontal Ouachita Mountains, Oklahoma. Acoustic impedance of the near-angle seismic data images the 3D spatial distributions of Wapanucka limestone and Cromwell sandstone. Lamé [Formula: see text] ([Formula: see text] and [Formula: see text]) and [Formula: see text] sections are derived from the P-wave and S-wave impedance ([Formula: see text] and [Formula: see text]) sections produced by the SADI. Litholog

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Hagedorn, Philip A., Eric S. Kirkendall, S. Andrew Spooner, and Vishnu Mohan. "Inpatient Communication Networks: Leveraging Secure Text-Messaging Platforms to Gain Insight into Inpatient Communication Systems." Applied Clinical Informatics 10, no. 03 (2019): 471–78. http://dx.doi.org/10.1055/s-0039-1692401.

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Objective This study attempts to characterize the inpatient communication network within a quaternary pediatric academic medical center by applying network analysis methods to secure text-messaging data. Methods We used network graphing and statistical software to create network models of an inpatient communication system with secure text-messaging data from physicians, nurses, and other ancillary staff in an academic medical center. Descriptive statistics about the network, users within the network, and visualizations informed the team's understanding of the network and its components. Result

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Hang Cui, Ji-Rong Wen, Jian-Yun Nie, and Wei-Ying Ma. "Query expansion by mining user logs." IEEE Transactions on Knowledge and Data Engineering 15, no. 4 (2003): 829–39. http://dx.doi.org/10.1109/tkde.2003.1209002.

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Kolli, Santhi, V. Rama chandran, and Ru pa. "Personalized Query Results using User Search Logs." International Journal of Engineering Trends and Technology 4, no. 9 (2013): 4227–36. http://dx.doi.org/10.14445/22315381/ijett-v4i9p197.

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Monier, Doha, Azza El Rawy, and Abdullah Mahmoud. "Delineation of reservoir channels by different seismic attributes and geobody extractions for robust volumetric estimation, Saffron Field, offshore Nile Delta, Egypt." Leading Edge 40, no. 7 (2021): 484–93. http://dx.doi.org/10.1190/tle40070484.1.

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The Nile Delta Basin is a major gas province. Commercial gas discoveries there have been proven mainly in Pleistocene to Oligocene sediments, and most discoveries are within sandstone reservoirs. Three-dimensional seismic data acquired over the basin have helped greatly in imaging and visualization of stratigraphy and structure, leading to robust understanding of the subsurface. Channel fairways serve as potential reservoir units; hence, mapping channel surfaces and identifying and defining infill lithology is important. Predicting sand distribution and reservoir presence is one of the key tas

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Zhang, Jian, and Li Jun Zhao. "Visualization of IDS Logs Based on Regular Polygon of Even Sides." Applied Mechanics and Materials 602-605 (August 2014): 2157–62. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2157.

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In the field of network security, logs analysis is an efficient protecting measure. But it couldn’t meet with the requirements of dealing with threaten rapidly and responding at real time only with security administrator’s analysis of abundant multidimensional IDS logs. Visualization of multidimensional data is applied in information cognition and decision, with people’s perception of graph and advanced technology of computer’s dealing with abundant data. A frame of visualization in intrusion detection is proposed according to the process of visualization and intrusion detection. And then a si

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Simonin, Jacques, Julie Soulas, and Philippe Lenca. "Activity Monitoring Process based on Model-Driven Engineering – Application to Ambient Assisted Living." Journal of Intelligent Systems 24, no. 3 (2015): 371–82. http://dx.doi.org/10.1515/jisys-2014-0143.

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AbstractThe supervisor of the activities of a system user should benefit from the knowledge contained in the event logs of the user. They allow the monitoring of the sequential and parallel user activities. To make event logs more accessible to the supervisor, we suggest a process mining approach, including first the design of an understanding model of the activities of a system user. The model design is based on the relationships between the event logs and the activities of a system user. An intervention model completes the understanding model to assist the supervisor. The intervention model

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ITOH, Takayuki. "Music Visualization as User Interfaces." Journal of the Visualization Society of Japan 35, no. 136 (2015): 3–7. http://dx.doi.org/10.3154/jvs.35.3.

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Hibbard, Bill. "Large operational user of visualization." ACM SIGGRAPH Computer Graphics 37, no. 3 (2003): 5–9. http://dx.doi.org/10.1145/941572.941576.

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Mustamin, Nurul Fathanah, Yuslena Sari, and Husnul Khatimi. "KLASIFIKASI KUALITAS KAYU KELAPA MENGGUNAKAN ARSITEKTUR CNN." KLIK - KUMPULAN JURNAL ILMU KOMPUTER 8, no. 1 (2021): 49. http://dx.doi.org/10.20527/klik.v8i1.370.

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<p><em>The increase in the export volume of coconut logs, which are materials that can efficiently substitute for conventional wood, demands that the quality of coconut wood classified quickly. However, due to the limitations of a grader as a human being, it is necessary to have assistance from machines or technology that can classify coconut wood quickly. Techniques that used for rapid classification can use computer visualization. Convolutional Neural Network (CNN) with the right architecture makes this method able to recognize and detect objects well, which influenced by compute

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Li, Yan, Lu Zhang, Bing Xie, and Jiasu Sun. "Refining component description by leveraging user query logs." Journal of Systems and Software 82, no. 5 (2009): 751–58. http://dx.doi.org/10.1016/j.jss.2008.10.027.

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Kang, Shinjin, Youngbin Kim, and Sookyun Kim. "Automated Spatiotemporal Classification Based on Smartphone App Logs." Electronics 9, no. 5 (2020): 755. http://dx.doi.org/10.3390/electronics9050755.

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In this paper, a framework for user app behavior analysis using an automated supervised learning method in smartphone environments is proposed. This framework exploits the collective location data of users and their smartphone app logs. Based on these two datasets, the framework determines the apps with a high probability of usage in a geographic area. The framework extracts the app-usage behavior data of a mobile user from an Android phone and transmits them to a server. The server learns the representative trajectory patterns of the user by combining the collected app usage patterns and traj

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YAMAGUCHI, Yumi, Yuko IKEHATA, Takayuki ITOH, and Yasumasa KAJINAGA. "Visualization of Web access logs using Data Jewelry Box." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 111–14. http://dx.doi.org/10.3154/jvs.22.1supplement_111.

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Zhang, Yanping, Yang Xiao, Min Chen, Jingyuan Zhang, and Hongmei Deng. "A survey of security visualization for computer network logs." Security and Communication Networks 5, no. 4 (2011): 404–21. http://dx.doi.org/10.1002/sec.324.

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Herrera, Gail. "Google Scholar Users and User Behaviors: An Exploratory Study." College & Research Libraries 72, no. 4 (2011): 316–30. http://dx.doi.org/10.5860/crl-125rl.

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The University of Mississippi Library created a profile to provide linking from Google Scholar (GS) to library resources in 2005. Although Google Scholar does not provide usage statistics for institutions, use of Google Scholar is clearly evident in looking at library link resolver logs. The purpose of this project is to examine users of Google Scholar with existing data from interlibrary loan transactions and library Web site click-through logs and analytics. Questions about user status and discipline, as well as behaviors related to use of other library resources, are explored.

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Ou, Jianhong, Haibo Liu, Niraj K. Nirala, et al. "dagLogo: An R/Bioconductor package for identifying and visualizing differential amino acid group usage in proteomics data." PLOS ONE 15, no. 11 (2020): e0242030. http://dx.doi.org/10.1371/journal.pone.0242030.

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Sequence logos have been widely used as graphical representations of conserved nucleic acid and protein motifs. Due to the complexity of the amino acid (AA) alphabet, rich post-translational modification, and diverse subcellular localization of proteins, few versatile tools are available for effective identification and visualization of protein motifs. In addition, various reduced AA alphabets based on physicochemical, structural, or functional properties have been valuable in the study of protein alignment, folding, structure prediction, and evolution. However, there is lack of tools for appl

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Jachak, Anjali, and Anuj Sharma. "Extraction and Analysis of User Profile from Event Logs." International Journal of Computer Applications 118, no. 24 (2015): 15–18. http://dx.doi.org/10.5120/20955-2855.

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Jay Prakash Thaku, K. G. S. Venkatesan, Dr V. Khanna, r. "Mining User Profile Exploitation Cluster from Computer Program Logs." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 03 (2015): 1556–61. http://dx.doi.org/10.15680/ijircce.2015.0303022.

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Uetsuji, Keisuke, Hidekazu Yanagimoto, and Michifumi Yoshioka. "User Intent Estimation from Access logs with Topic Model." Procedia Computer Science 60 (2015): 141–49. http://dx.doi.org/10.1016/j.procs.2015.08.113.

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Uetsuji, Keisuke, Hidekazu Yanagimoto, and Michifumi Yoshioka. "User Intent Estimation from Access Logs with Topic Model." IEEJ Transactions on Electronics, Information and Systems 136, no. 3 (2016): 357–62. http://dx.doi.org/10.1541/ieejeiss.136.357.

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LING, CHARLES X., JIANFENG GAO, HUAJIE ZHANG, WEINING QIAN, and HONGJIANG ZHANG. "IMPROVING ENCARTA SEARCH ENGINE PERFORMANCE BY MINING USER LOGS." International Journal of Pattern Recognition and Artificial Intelligence 16, no. 08 (2002): 1101–16. http://dx.doi.org/10.1142/s0218001402002179.

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We propose a data-mining approach that produces generalized query patterns (with generalized keywords) from the raw user logs of the Microsoft Encarta search engine (). Those query patterns can act as cache of the search engine, improving its performance. The cache of the generalized query patterns is more advantageous than the cache of the most frequent user queries since our patterns are generalized, covering more queries and future queries — even those not previously asked. Our method is unique since query patterns discovered reflect the actual dynamic usage and user feedbacks of the search

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Leung, Kenneth Wai-Ting, and Dik Lun Lee. "Deriving Concept-Based User Profiles from Search Engine Logs." IEEE Transactions on Knowledge and Data Engineering 22, no. 7 (2010): 969–82. http://dx.doi.org/10.1109/tkde.2009.144.

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