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John R. Talburt
Person information
- affiliation: University of Arkansas at Little Rock, Department of Information Science, AR, USA
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2020 – today
- 2024
- [j13]Nicholas K. A. Hagan, John R. Talburt, Kris E. Anderson, Deasia Hagan:
A scalable MapReduce-based design of an unsupervised entity resolution system. Frontiers Big Data 7 (2024) - 2023
- [j12]John R. Talburt, Lisa Ehrlinger, Justin Magruder:
Editorial: Automated data curation and data governance automation. Frontiers Big Data 6 (2023) - [c73]Biswa Ranjan Senapati
, John R. Talburt, Awad Bin Naeem
, Venkata Jaipal Reddy Batthula:
Transfer Learning Based Models for Food Detection Using ResNet-50. eIT 2023: 224-229 - [c72]Kris E. Anderson, John R. Talburt, Nicholas K. A. Hagan, Timothy J. Zimmerman, Deasia Hagan:
Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine. FTC (2) 2023: 106-125 - 2022
- [c71]Emel Seker, John R. Talburt, Melody L. Greer:
Preprocessing to Address Bias in Healthcare Data. MIE 2022: 327-331 - 2021
- [c70]Mahmood Mohammed, John R. Talburt, Serhan Dagtas, Melissa Hollingsworth:
A Zero Trust Model Based Framework For Data Quality Assessment. CSCI 2021: 305-307 - [i2]Islam Akef Ebeid, John R. Talburt, Md Abdus Salam Siddique:
Graph-based hierarchical record clustering for unsupervised entity resolution. CoRR abs/2112.06331 (2021) - 2020
- [j11]Zhan Wang, John R. Talburt, Ningning Wu, Serhan Dagtas, Meredith Nahm Zozus:
A Rule-Based Data Quality Assessment System for Electronic Health Record Data. Appl. Clin. Inform. 11(04): 622-634 (2020)
2010 – 2019
- 2019
- [j10]Yu Nie
, John R. Talburt, Serhan Dagtas, Taiwen Feng:
The influence of chief data officer presence on firm performance: does firm size matter? Ind. Manag. Data Syst. 119(3): 495-520 (2019) - [c69]Zhan Wang, Serhan Dagtas, John R. Talburt, Ahmad Baghal, Meredith N. Zozus:
Rule-Based Data Quality Assessment and Monitoring System in Healthcare Facilities. ITCH 2019: 460-467 - [p3]John R. Talburt, Daniel L. Pullen, Melody L. Penning:
Evaluating and Improving Data Fusion Accuracy. Information Quality in Information Fusion and Decision Making 2019: 295-326 - 2018
- [c68]John R. Talburt, Yumeng Ye, Bingyi Zhong, Xinming Li, James true, Sapna Srimal:
The OYSTER Open Source Project for Introducing Entity Resolution and MDM into Information Systems Curricula. AMCIS 2018 - [c67]Fumiko Kobayashi, Aziz Eram, John R. Talburt:
Entity Resolution Using Logistic Regression as an extension to the Rule-Based Oyster System. MIPR 2018: 146-151 - [c66]Debanjan Mahata, Rajiv Ratn Shah, John Kuriakose, Roger Zimmermann, John R. Talburt:
Theme-Weighted Ranking of Keywords from Text Documents Using Phrase Embeddings. MIPR 2018: 184-189 - [i1]Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann, John R. Talburt:
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings. CoRR abs/1807.05962 (2018) - 2017
- [c65]Pei Wang, Daniel L. Pullen, John R. Talburt:
Comparison of Pre-and Post-Resolution Blocking Strategies for Entity Resolution in a Distributed Computing Environment. AMCIS 2017 - [c64]Therese L. Williams, David K. Becker, John R. Talburt:
Critical Cultural Success Factors for Achieving High Quality Information in an Organization. AMCIS 2017 - [c63]Aziz Eram, Abdul Ghani Mohammed, Vishnu Pillai, John R. Talburt:
Comparing the Effectiveness of Deterministic Matching with Probabilistic Matching for Entity Resolution of Student Enrollment Records. ICIQ 2017 - [c62]Abdul Ghani Mohammed, Aziz Eram, John R. Talburt:
ISO 8000-81 Data Quality Management Standard, TDQM Compliance, IQ Principles. ICIQ 2017 - [c61]Yu Nie, Hongyun Zhang, Richard Y. Wang, John R. Talburt:
Impact of Appointing a Chief Data Officer (CDO) on Firm Performance: Relationahsips Among CDO Appointment, Tenure, Duality, and Firm Performance. ICIQ 2017 - 2016
- [j9]Pei Wang, Daniel L. Pullen, Fan Liu, William C. Decker, Ningning Wu, John R. Talburt:
A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes. Int. J. Organ. Collect. Intell. 6(3): 1-20 (2016) - [c60]John R. Talburt, Salomon de Jagger, Wynand Nortje, Fumiko Kobayashi, Leslie Culpepper:
Getting to Customer Dialog: An Architecture for Extending Data Governance to Customer Communications Management. ICIQ 2016: 157-165 - 2015
- [c59]Cheng Chen, Daniel L. Pullen, Reed H. Petty, John R. Talburt:
Methodology for Large-Scale Entity Resolution without Pairwise Matching. ICDM Workshops 2015: 204-210 - [c58]Cheng Chen, Daniel L. Pullen, John R. Talburt:
A visualization system to support clerical review, correction, and confirmation assertions in entity identity information management. ICIQ 2015 - [c57]Fumiko Kobayashi, John R. Talburt:
Confidence rating for interactive identity resolution. ICIQ 2015 - [c56]Debanjan Mahata, John R. Talburt:
A Framework for Collecting, Extracting and Managing Event Identity Information from Twitter. ICIQ 2015 - [c55]Therese L. Williams, David K. Becker, Carmen Robinson, Thomas C. Redman, John R. Talburt:
Measuring Sociocultural Factors of Success in Information Quality Projects. ICIQ 2015 - [c54]Debanjan Mahata, John R. Talburt, Vivek Kumar Singh
:
Identification and Ranking of Event-Specific Entity-Centric Informative Content from Twitter. NLDB 2015: 275-281 - [c53]Debanjan Mahata, John R. Talburt, Vivek Kumar Singh
:
From Chirps to Whistles: Discovering Event-specific Informative Content from Twitter. WebSci 2015: 17:1-17:10 - 2014
- [j8]John R. Talburt, Therese L. Williams, Thomas C. Redman, David K. Becker:
Information quality research challenge: Predicting and quantifying the impact of social issues on information quality programs. ACM J. Data Inf. Qual. 5(1-2): 2:1-2:3 (2014) - [c52]Christopher Heien, Ningning Wu, John R. Talburt:
Methods and Models to Support Consistent Representation of Information Product Maps. ICIQ 2014 - [c51]Fumiko Kobayashi, John R. Talburt:
Improving the Quality of Entity Resolution for School Enrollment Data through Affinity Scores. ICIQ 2014 - [c50]Debanjan Mahata, John R. Talburt:
A Framework for Collecting and Managing Entity Identity Information from Social Media. ICIQ 2014 - [c49]Pei Wang, Daniel L. Pullen, John R. Talburt, Ningning Wu:
Iterative Approach to Weight Calculation in Probabilistic Entity Resolution. ICIQ 2014 - [c48]Fumiko Kobayashi, John R. Talburt:
Decoupling Identity Resolution from the Maintenance of Identity Information. ITNG 2014: 349-354 - [c47]Pei Wang, Daniel L. Pullen, John R. Talburt, Ningning Wu:
Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records. ITNG 2014: 355-359 - 2013
- [j7]John R. Talburt:
Special Issue on Entity Resolution - Overview: The Criticality of Entity Resolution in Data and Information Quality. ACM J. Data Inf. Qual. 4(2): 6:1-6:2 (2013) - [j6]Yinle Zhou, Eric D. Nelson, Fumiko Kobayashi, John R. Talburt:
A Graduate-Level Course on Entity Resolution and Information Quality: A Step toward ER Education. ACM J. Data Inf. Qual. 4(2): 10:1-10:10 (2013) - [c46]Cheng Chen, Josh Hanna, John R. Talburt, Mathias Brochhausen, William R. Hogan:
A Demonstration of Entity Identity Information Management Applied to Demographic Data in a Referent Tracking System. ICBO 2013: 136-137 - [c45]Daniel L. Pullen, Pei Wang, John R. Talburt, Ningning Wu:
A false positive review indicator for entity resolution systems using Boolean rules. ICIQ 2013 - [c44]Therese L. Williams, Joanne Reilley, David K. Becker, Huzaifa Syed, Thomas C. Redman, Wright A. Nodine Jr., Amit Saha, Kashif Mehdi, John R. Talburt:
Modeling and simulating the impact of social issues on information quality: Literature review. ICIQ 2013 - [c43]Yinle Zhou, John R. Talburt, Eric D. Nelson:
User-Defined Inverted Index in Boolean, Rule-Based Entity Resolution Systems. ITNG 2013: 608-612 - [p2]John R. Talburt, Yinle Zhou:
A Practical Guide to Entity Resolution with OYSTER. Handbook of Data Quality 2013: 235-270 - [p1]Elizabeth M. Pierce, John R. Talburt, C. Lwanga Yonke:
Epilogue: The Data Quality Profession. Handbook of Data Quality 2013: 397-417 - 2012
- [j5]O. Isaac Osesina, John R. Talburt:
A Data-Intensive Approach to Named Entity Recognition Combining Contextual and Intrinsic Indicators. Int. J. Bus. Intell. Res. 3(1): 55-71 (2012) - [j4]Yinle Zhou, Ali Kooshesh, John R. Talburt:
Optimizing the Accuracy of Entity-Based Data Integration of Multiple Data Sources Using Genetic Programming Methods. Int. J. Bus. Intell. Res. 3(1): 72-82 (2012) - 2011
- [c42]Sertan Kaya, Mariofanna G. Milanova, John R. Talburt, Brian H. Tsou, Marina Altynovac:
Subjective image quality prediction based on neural network. ICIQ 2011 - [c41]Fumiko Kobayashi, Eric D. Nelson, John R. Talburt:
Design consideration for identity resolution in batch and interactive architectures. ICIQ 2011 - [c40]O. Isaac Osesina, Marie Astrid Cartron-Mizeracki, John R. Talburt:
A patient-oriented approach to comprehensive health information quality improvement. ICIQ 2011 - [c39]Yinle Zhou, John R. Talburt:
Entity identity information management (EIIM). ICIQ 2011 - [c38]Cihan Varol
, John R. Talburt:
Pattern and Phonetic Based Street Name Misspelling Correction. ITNG 2011: 553-558 - 2010
- [c37]Christopher Heien, Ningning Wu, John R. Talburt:
Methods to Measure Importance of Data Attributes to Consumers of Information Products. AMCIS 2010: 582 - [c36]Val Pushkarev, Henry Neumann, Cihan Varol, John R. Talburt:
An Overview of Open Source Data Quality Tools. IKE 2010: 370-376 - [c35]O. Isaac Osesina, John R. Talburt:
Towards a data-intensive approach to named entity recognition. ICIQ 2010
2000 – 2009
- 2009
- [c34]John R. Talburt, Eric D. Nelson:
CoDoSA: A Lightweight, XML-Based Framework for Integrating Unstructured Textual Information. AMCIS 2009: 489 - [c33]John R. Talburt, Yinle Zhou, Savitha Yalanadu Shivaiah:
SOG: A Synthetic Occupancy Generator to Support Entity Resolution Instruction and Research. ICIQ 2009: 91-105 - 2008
- [c32]Wesley Deneke, Josh Eno, Wing Ning Li, Craig W. Thompson, John R. Talburt, Jonathan Loghry, David Nash, Jeff Stires:
Towards a Domain-Specific Modeling Language for Customer Data Integration Workflow. GPC Workshops 2008: 49-56 - [c31]John R. Talburt, Ray R. Hashemi:
A Formal Framework for Defining Entity-Based, Data Source Integration. IKE 2008: 394-398 - [c30]Chia-Chu Chiang, John R. Talburt, Ningning Wu, Elizabeth M. Pierce, Christopher Heien, Ebony Gulley, JaMia Moore:
A Case Study in Partial Parsing Unstructured Text. ITNG 2008: 447-452 - 2007
- [j3]Yang W. Lee, Elizabeth M. Pierce, John R. Talburt, Richard Y. Wang, Hongwei Zhu:
A Curriculum for a Master of Science in Information Quality. J. Inf. Syst. Educ. 18(2): 233-242 (2007) - [c29]John R. Talburt, Ningning Wu, Elizabeth M. Pierce, Ray R. Hashemi:
Entity Identification Using Indexed Entity Catalogs. IKE 2007: 338-342 - [c28]John R. Talburt, Elizabeth M. Pierce, Craig Fisher, Andy Koronios, Deborah Henderson, Al Harris:
Where are we now? Where are we going? ICIQ 2007: 564-575 - 2006
- [c27]Ray R. Hashemi, John R. Talburt, Richard Wang:
Significance Test for the Talburt-Wang Similarity Index. ICIQ 2006: 125-132 - [c26]Ningning Wu, Elizabeth M. Pierce, John R. Talburt, Richard Wang:
An Information Theoretic Approach to Information Quality Metric. ICIQ 2006: 133-145 - [e2]John R. Talburt, Elizabeth M. Pierce, Ningning Wu, Traci Campbell:
Proceedings of the 11th International Conference on Information Quality, MIT, Cambridge, MA, USA, November 10-12, 2006. MIT 2006 [contents] - 2005
- [c25]John R. Talburt, Charles G. Morgan, Terry Talley, Ken Archer:
The Application of Commercial Data Integration Technologies to Improve the Quality of Anonymous Entity Resolution in the Public Sector. ICIQ 2005 - [c24]Charles Wesley Ford, Chia-Chu Chiang, Hao Wu, Radhika R. Chilka, John R. Talburt:
Text Data Mining: A Case Study. ITCC (1) 2005: 122-127 - 2004
- [c23]Ray R. Hashemi, John R. Talburt:
A Scheme for Approximate Matching Event Announcements to a Customer Database. ICWI 2004: 123-130 - [c22]Kimberly Hess, John R. Talburt:
Applying Name Knowledge to Name Quality Assessment. ICIQ 2004: 211-217 - [c21]John R. Talburt, Kimberly Hess, Richard Wang, Emily Kuo:
An Algebraic Approach to Quality Metrics for Customer Recognition Systems. ICIQ 2004: 234-247 - [c20]Charles Wesley Ford, Chia-Chu Chiang, Hao Wu, Radhika R. Chilka, John R. Talburt:
Confidence on Approximate Query in Large Datasets. ITCC (2) 2004: 480- - 2003
- [c19]Ray R. Hashemi, Charles Ford, Ashish Bansal, Stephen D. Sieloff, John R. Talburt:
Building Semantic-Rich Patterns for Extracting Features from Events of an On-Line Newspaper. ICWI 2003: 627-634 - [c18]Wyndolyn Smith-Adams, John R. Talburt:
Conducting an Information Product Competitor Analysis: Case Study. ICIQ 2003: 17-19 - [c17]John R. Talburt:
Shared System for Assessing Consumer Occupancy and Demographic Accuracy. ICIQ 2003: 166-177 - 2002
- [c16]Ray R. Hashemi, Charles Wesley Ford, Tim Vamprooyen, John R. Talburt:
Extraction of Features with Unstructured Representation from HTML Documents. ICWI 2002: 47-53 - 2000
- [j2]Wei Li, Letha H. Etzkorn, Carl G. Davis, John R. Talburt:
An empirical study of object-oriented system evolution. Inf. Softw. Technol. 42(6): 373-381 (2000) - [c15]Ray R. Hashemi, Danny Owen, Mark S. Smith, Tim Flanigan, John R. Talburt:
The Effects of Image Enhancement in OCR Systems: A Prototype. ITCC 2000: 495-501
1990 – 1999
- 1998
- [j1]Wei Li, John R. Talburt:
Empirically Analyzing Object-Oriented Software Evolution. J. Object Oriented Program. 11(5): 15-19 (1998) - 1997
- [c14]Ray R. Hashemi, F. Fred Choobineh, John R. Talburt, William Slikker, Merle G. Paule:
A diagnostic system based on a multi-decision approximate rules model. SAC 1997: 20-24 - [c13]Wei Li, John R. Talburt, Yuan-Tsong Chen:
Quantitatively Evaluate Object Oriented Software Evolution. TOOLS (24) 1997: 362-367 - 1996
- [c12]Ray R. Hashemi, Therese M. Schafer, William G. Hinson, John R. Talburt:
A neural network for speedy trials. SAC 1996: 468-472 - 1995
- [c11]Ray R. Hashemi, John R. Talburt, Meena Velusamy:
A neural network as a quality control monitor of an intelligent system. SAC 1995: 263-266 - 1993
- [c10]Ray R. Hashemi, Aslam H. Chowdhury, Nancy L. Stafford, John R. Talburt:
Prediction Capability of Neural Networks Trained by Monte-Carlo Paradigm. SAC 1993: 9-13 - 1992
- [c9]Ray R. Hashemi, Mehdi Razzaghi, Frederick R. Jelovsek, John R. Talburt:
Conflict resolution in inductive learning from examples. SAC 1992: 598-602 - 1991
- [c8]Donna M. Mooney, John R. Talburt:
An expert system for check routing (abstract and references only). ACM Conference on Computer Science 1991: 678 - [c7]John R. Talburt, W. Steve Anderson:
Teaching user documentation by modular decomposition: SIGDOC'91 workshop. SIGDOC 1991: 1-2 - 1990
- [c6]Donna M. Mooney, John R. Talburt:
Homograph Discrimination for Intelligent Interfaces via Thesaural Lexicons (Abstract). ACM Conference on Computer Science 1990: 449 - [c5]David Roach, Hal Berghel, John R. Talburt:
An interactive source commenter for Prolog programs. SIGDOC 1990: 141-145 - [c4]John R. Talburt, David Roach:
RAP: relocation allowance planner, a rule-based expert system with self-defining documentation features. SIGDOC 1990: 147-150 - [c3]John R. Talburt, Donna M. Mooney:
An Evaluation of Type-10 Homograph Discrimination at the Semi-colon Level in Roget's International Thesaurus. SIGSMALL/PC Symposium 1990: 156-159 - [e1]John R. Talburt:
Proceedings of the 8th Annual International Conference on Systems Documentation, SIGDOC 1990, Little Rock, Arkansas, USA, October 31 - November 2, 1990. ACM 1990, ISBN 0-89791-414-7 [contents]
1980 – 1989
- 1989
- [c2]W. Steve Anderson, John R. Talburt:
A writing course in user documentation for computer science majors. SIGDOC 1989: 33-37 - 1985
- [c1]John R. Talburt:
The Flesch Index: An Easily Programmable Readability Analysis Algorithm. SIGDOC 1985: 114-122
Coauthor Index
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