Proceedings of the 17th International Conference on Information Quality, IQ 2012, Paris, France, November 16-17, 2012
暂无分享,去创建一个
Isabelle Comyn-Wattiau | Monica Scannapieco | Laure Berti-Équille | M. Scannapieco | Laure Berti-Équille | I. Comyn-Wattiau
[1] Fred D. Davis,et al. A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .
[2] Parag Agrawal,et al. Foundations of uncertain-data integration , 2010, Proc. VLDB Endow..
[3] H. D. Rombach,et al. The Goal Question Metric Approach , 1994 .
[4] Richard C. Morey,et al. Estimating and improving the quality of information in a MIS , 1982, CACM.
[5] Thomas C. Redman,et al. Data Quality: The Field Guide , 2001 .
[6] Iris Vessey,et al. Information Use in Solving a Well-Structured IS Problem: The Roles of IS and Application Domain Knowledge , 2010, ER.
[7] H. Lesca,et al. Gestion de l'information: Qualité de l'information et performances de l'entreprise , 2010 .
[8] David Loshin. Enterprise knowledge management: the data quality approach , 2000 .
[9] Jonathan R Davis,et al. Assuring Data Quality and Validity in Clinical Trials for Regulatory Decision Making , 1999 .
[10] Amit P. Sheth,et al. OntoQA: Metric-Based Ontology Quality Analysis , 2005 .
[11] M. Mezzanzanica,et al. Classification of longitudinal career paths , 2013 .
[12] Dan Suciu,et al. Embracing Uncertainty in Large-Scale Computational Astrophysics. , 2009, MUD 2009.
[13] A. Kaplan,et al. Users of the world, unite! The challenges and opportunities of Social Media , 2010 .
[14] Yang Lee,et al. CEIP Maps: Context-embedded Information Product Maps , 2007, AMCIS.
[15] Felix Naumann,et al. Completeness of integrated information sources , 2004, Inf. Syst..
[16] Klaus Pohl,et al. The three dimensions of requirements engineering: a framework and its applications , 1994, Inf. Syst..
[17] Sanjay Chawla,et al. Robust record linkage blocking using suffix arrays , 2009, CIKM.
[18] Gerald W. McLaughlin,et al. Assessing the Integrity of Web Sites Providing Data and Information on Corporate Behavior , 2005 .
[19] Justin Wolfers,et al. Using Prediction Markets to Track Information Flows: Evidence from Google , 2009, AMMA.
[20] Georgia Koutrika,et al. Entity resolution with iterative blocking , 2009, SIGMOD Conference.
[21] M. de Rijke,et al. Determining Expert Profiles (With an Application to Expert Finding) , 2007, IJCAI.
[22] Richard Y. Wang,et al. Quality information and knowledge , 1998 .
[23] Graeme G. Shanks,et al. Empirical Refinement of a Semiotic Information Quality Framework , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.
[24] Fred D. Davis. A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .
[25] Dov M. Gabbay,et al. What Is Negation as Failure? , 2012, Logic Programs, Norms and Action.
[26] Nicola Guarino,et al. Evaluating ontological decisions with OntoClean , 2002, CACM.
[27] Letizia Tanca,et al. What you Always Wanted to Know About Datalog (And Never Dared to Ask) , 1989, IEEE Trans. Knowl. Data Eng..
[28] Martin J. Eppler,et al. Information Quality on Corporate Intranets: Conceptualization and Measurement , 1999, IQ.
[29] William Edward Hammond,et al. Standardising clinical data elements , 2010, Int. J. Funct. Informatics Pers. Medicine.
[30] Donald P. Ballou,et al. Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems , 1985 .
[31] Les Gasser,et al. A framework for information quality assessment , 2007, J. Assoc. Inf. Sci. Technol..
[32] Haruhiko Kaiya,et al. Using Domain Ontology as Domain Knowledge for Requirements Elicitation , 2006, 14th IEEE International Requirements Engineering Conference (RE'06).
[33] Diane M. Strong,et al. Information quality benchmarks: product and service performance , 2002, CACM.
[34] Adir Even,et al. Evaluating a model for cost-effective data quality management in a real-world CRM setting , 2010, Decis. Support Syst..
[35] Marco Valtorta,et al. Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm , 2009, JDIQ.
[36] Zhao Li,et al. A fast filtering scheme for large database cleansing , 2002, CIKM '02.
[37] Irit Askira Gelman,et al. Setting priorities for data accuracy improvements in satisficing decision-making scenarios: A guiding theory , 2010, Decis. Support Syst..
[38] V. Zeithaml,et al. E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality , 2004 .
[39] Paul L. Bowen,et al. Data quality initiatives: striving for continuous improvements , 2007, Int. J. Inf. Qual..
[40] John R. Talburt,et al. A Curriculum for a Master of Science in Information Quality , 2007, J. Inf. Syst. Educ..
[41] Fred D. Davis,et al. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.
[42] Rao R. Nemani,et al. A Framework for Data Quality in Data Warehousing , 2009, UNISCON.
[43] Alon Y. Halevy,et al. Crowdsourcing systems on the World-Wide Web , 2011, Commun. ACM.
[44] Christine Legner,et al. Master Data Management for Collaborative Service Processes , 2004 .
[45] M. Jarke,et al. Fundamentals of Data Warehouses , 2003, Springer Berlin Heidelberg.
[46] C. Lee Giles,et al. Adaptive sorted neighborhood methods for efficient record linkage , 2007, JCDL '07.
[47] G. Murphy,et al. The Big Book of Concepts , 2002 .
[48] Thomas Redman,et al. Data quality for the information age , 1996 .
[49] Peter Fankhauser,et al. Efficient entity resolution for large heterogeneous information spaces , 2011, WSDM '11.
[50] Sumit Sarkar,et al. A Framework for Reconciling Attribute Values from Multiple Data Sources , 2007, Manag. Sci..
[51] Val Tannen,et al. Models for Incomplete and Probabilistic Information , 2006, IEEE Data Eng. Bull..
[52] Ahmed K. Elmagarmid,et al. Guided data repair , 2011, Proc. VLDB Endow..
[53] Juliano Lopes de Oliveira,et al. A business process metamodel for Enterprise Information Systems automatic generation , 2010 .
[54] Joseph Mathew,et al. Definitions, concepts and scope of engineering asset management , 2010 .
[55] Mario Piattini,et al. A proposal for a set of attributes relevant for Web portal data quality , 2008, Software Quality Journal.
[56] Leo Pipino,et al. Factors affecting the assessment of web site quality , 2001, ECIS.
[57] Laurian M. Chirica,et al. The entity-relationship model: toward a unified view of data , 1975, SIGF.
[58] Soo Young Rieh. Judgment of information quality and cognitive authority in the Web , 2002, J. Assoc. Inf. Sci. Technol..
[59] Vijayan Sugumaran,et al. A semiotic metrics suite for assessing the quality of ontologies , 2005, Data Knowl. Eng..
[60] Jens Lehmann,et al. DBpedia - A crystallization point for the Web of Data , 2009, J. Web Semant..
[61] Holmes Miller,et al. The Multiple Dimensions of Information Quality , 1996, Inf. Syst. Manag..
[62] Salvatore J. Stolfo,et al. The merge/purge problem for large databases , 1995, SIGMOD '95.
[63] Peter A. Todd,et al. Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..
[64] Carl van Walraven,et al. Administrative database research has unique characteristics that can risk biased results. , 2012, Journal of clinical epidemiology.
[65] Renée J. Miller,et al. Clean Answers over Dirty Databases: A Probabilistic Approach , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[66] Jack E. Olson,et al. Data Quality: The Accuracy Dimension , 2003 .
[67] Andrew McCallum,et al. Efficient clustering of high-dimensional data sets with application to reference matching , 2000, KDD '00.
[68] Weiyi Meng,et al. Efficient SPectrAl Neighborhood blocking for entity resolution , 2011, 2011 IEEE 27th International Conference on Data Engineering.
[69] Ihab F. Ilyas,et al. Probabilistic Ranking Techniques in Relational Databases , 2011, Probabilistic Ranking Techniques in Relational Databases.
[70] Felix Naumann,et al. Quality-Driven Query Answering for Integrated Information Systems , 2002, Lecture Notes in Computer Science.
[71] Stephen J. Andriole,et al. Technology Due Diligence: Best Practices for Chief Information Officers, Venture Capitalists, and Technology Vendors , 2008 .
[72] Keng Siau,et al. Measuring information quality of web sites: development of an instrument , 1999, ICIS.
[73] Evan W. Duggan,et al. Examining SNS Adoption through Motivational Lens , 2011, AMCIS.
[74] Charles Elkan,et al. An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records , 1997, DMKD.
[75] Richard Y. Wang,et al. Modeling Information Manufacturing Systems to Determine Information Product Quality Management Scien , 1998 .
[76] W. Bruce Croft,et al. A framework to predict the quality of answers with non-textual features , 2006, SIGIR.
[77] Paul Mangiameli,et al. The Effects and Interactions of Data Quality and Problem Complexity on Classification , 2011, JDIQ.
[78] Craig W. Fisher,et al. Criticality of data quality as exemplified in two disasters , 2001, Inf. Manag..
[79] R. P. Srivastava,et al. A conceptual framework and belief‐function approach to assessing overall information quality , 2003, Int. J. Intell. Syst..
[80] K. Lukka,et al. The constructive approach in management accounting research , 1993 .
[81] Boris Otto,et al. Organizing master data management: findings from an expert survey , 2010, SAC '10.
[82] Daniel Neagu,et al. Information Quality Framework for e-Learning Systems , 2010 .
[83] Alan R. Hevner,et al. Design Science in Information Systems Research , 2004, MIS Q..
[84] Danette McGilvray,et al. Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information TM , 2008 .
[85] Adir Even,et al. Value-Driven Data Quality Assessment , 2005, ICIQ.
[86] P. Pfeifer,et al. Modeling customer relationships as Markov chains , 2000 .
[87] Martin J. Eppler,et al. Measuring Information Quality in the Web Context: A Survey of State-of-the-Art Instruments and an Application Methodology , 2002, ICIQ.
[88] Richard Y. Wang,et al. Developing Measurement Scales for Data-Quality Dimensions , 2014 .
[89] Giuseppe Santucci,et al. Structuring Primitives for a Dictionary of Entity Relationship Data Schemas , 1993, IEEE Trans. Software Eng..
[90] Felix Naumann,et al. A generalization of blocking and windowing algorithms for duplicate detection , 2011, 2011 International Conference on Data and Knowledge Engineering (ICDKE).
[91] William W. Cohen,et al. Learning to match and cluster large high-dimensional data sets for data integration , 2002, KDD.
[92] Daniel L. Moody,et al. Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions , 2005, Data Knowl. Eng..
[93] Markus Helfert,et al. Information Quality Management: Review of an Evolving Research Area , 2007 .
[94] Hendrik Decker,et al. Inconsistency-Tolerant Integrity Checking , 2011, IEEE Transactions on Knowledge and Data Engineering.
[95] Katherine L Kahn,et al. Validity of cancer registry data for measuring the quality of breast cancer care. , 2002, Journal of the National Cancer Institute.
[96] Peter Christen,et al. Data Matching , 2012, Data-Centric Systems and Applications.
[97] Liping Zhao,et al. Determining the in-hospital cost of bleeding in patients undergoing percutaneous coronary intervention. , 2009, Journal of interventional cardiology.
[98] B. Russell. Knowledge by Acquaintance and Knowledge by Description , 2007 .
[99] Taghrid Obied,et al. Oversight of clinical investigations- A risk based approach to monitoring , 2014 .
[100] Younghwa Lee,et al. The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..
[101] Yu Cai,et al. Supporting data quality management in decision-making , 2006, Decis. Support Syst..
[102] Sven Wåhlin,et al. [Who can you trust?]. , 2012, Lakartidningen.
[103] John Mylopoulos,et al. Information Modeling in the Time of the Revolution , 1998, Inf. Syst..
[104] Dongwon Lee,et al. HARRA: fast iterative hashed record linkage for large-scale data collections , 2010, EDBT '10.
[105] Richard Y. Wang,et al. Data Quality , 2000, Advances in Database Systems.
[106] Frank van Harmelen,et al. A semantic web primer , 2004 .
[107] Roman Lukyanenko,et al. Rethinking data quality as an outcome of conceptual modeling choices , 2011, ICIQ.
[108] Antoine Isaac,et al. SKOS Use Cases and Requirements , 2009 .
[109] Martin J. Eppler. A Generic Framework for Information Quality in knowledge-intensive Processes , 2001 .
[110] Edward Curry,et al. Enterprise energy management using a linked dataspace for Energy Intelligence , 2012, 2012 Sustainable Internet and ICT for Sustainability (SustainIT).
[111] Chen Li,et al. Efficient record linkage in large data sets , 2003, Eighth International Conference on Database Systems for Advanced Applications, 2003. (DASFAA 2003). Proceedings..
[112] Jan Mendling,et al. On the Usage of Labels and Icons in Business Process Modeling , 2010, Int. J. Inf. Syst. Model. Des..
[113] Gernot Gräfe,et al. Incredible Information on the Internet: Biased Information Provision and a Lack of Credibility as a Cause of Insufficient Information Quality , 2003, ICIQ.
[114] Terri Simmons,et al. CSDQ: A User-Centered Approach to Improving the Quality of Customer Support Data , 2005, ICIQ.
[115] Graeme G. Shanks,et al. Understanding Data Quality and Data Warehousing: A Semiotic Approach , 1998, IQ.
[116] Peter Christen,et al. A Comparison of Fast Blocking Methods for Record Linkage , 2003, KDD 2003.
[117] Francesc D. Muñoz-Escoí,et al. Revisiting and Improving a Result on Integrity Preservation by Concurrent Transactions , 2010, OTM Workshops.
[118] S Meads,et al. The medical record as a data source: use and abuse. , 1982, Topics in health record management.
[119] Ephraim R. McLean,et al. Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..
[120] John Scott. Social Network Analysis , 1988 .
[121] Craig W. Fisher,et al. Introduction to Information Quality , 2006 .
[122] D. Malakoff,et al. Spiraling Costs Threaten Gridlock , 2008, Science.
[123] A. Parasuraman,et al. A conceptual framework for understanding e-service quality : implications for future research and managerial practice , 2000 .
[124] Sandeep Purao,et al. A multi-layered ontology for comparing relationship semantics in conceptual models of databases , 2005, Appl. Ontology.
[125] Cosmin Stroe,et al. Automatic Configuration Selection Using Ontology Matching Task Profiling , 2012, ESWC.
[126] Yi-Shun Wang,et al. An Instrument for Measuring Customer Satisfaction Toward Web Sites That Market Digital Products and Services , 2001, J. Electron. Commer. Res..
[127] Serge Abiteboul,et al. On the representation and querying of sets of possible worlds , 1987, SIGMOD '87.
[128] Pierre L'Ecuyer,et al. Quasi-Monte Carlo methods for Markov chains with continuous multi-dimensional state space , 2010, Math. Comput. Simul..
[129] Carl F. Pieper,et al. Quantifying Data Quality for Clinical Trials Using Electronic Data Capture , 2008, PloS one.
[130] Lois W. Sayrs. Interviews : an introduction to qualitative research interviewing , 1996 .
[131] Adir Even,et al. Utility-driven assessment of data quality , 2007, DATB.
[132] Praveen Paritosh,et al. The anatomy of a large-scale human computation engine , 2010, HCOMP '10.
[133] Lifang Gu,et al. Adaptive Filtering for Efficient Record Linkage , 2004, SDM.
[134] Anany Levitin,et al. Data as a Resource: Properties, Implications, and Prescriptions , 1998 .
[135] Carl van Walraven,et al. Administrative database research infrequently used validated diagnostic or procedural codes. , 2011, Journal of clinical epidemiology.
[136] Graeme G. Shanks,et al. Stakeholder Perceptions of Data Quality in a Data Warehouse Environment , 1999, Aust. Comput. J..
[137] Thomas C. Redman,et al. Measuring Data Accuracy: A Framework and Review , 2014 .
[138] M. de Rijke,et al. Formal models for expert finding in enterprise corpora , 2006, SIGIR.
[139] Qi Su,et al. Internet-scale collection of human-reviewed data , 2007, WWW '07.
[140] Jan Mendling,et al. On a Quest for Good Process Models: The Cross-Connectivity Metric , 2008, CAiSE.
[141] Richard Y. Wang,et al. A product perspective on total data quality management , 1998, CACM.
[142] Stephanie Watts,et al. A Relevant, Believable Approach for Data Quality Assessment , 2003, ICIQ.
[143] Mario Piattini,et al. CALDEA: a data quality model based on maturity levels , 2003, Third International Conference on Quality Software, 2003. Proceedings..
[144] Shaofeng Liu,et al. Integration of decision support systems to improve decision support performance , 2010, Knowledge and Information Systems.
[145] G. Shankaranarayan,et al. Managing Data Quality in Dynamic Decision Environments: An Information Product Approach , 2003, J. Database Manag..
[146] Jennifer Widom,et al. ULDBs: databases with uncertainty and lineage , 2006, VLDB.
[147] Avigdor Gal,et al. Efficient Entity Resolution with MFIBlocks , 2009 .
[148] Thomas C. Redman,et al. Data Driven: Profiting from Your Most Important Business Asset , 2008 .
[149] Philip Fei Wu,et al. Opening the Black Boxes of TAM: Towards a Mixed Methods Approach , 2009, ICIS.
[150] Roger A. Stone,et al. Nursing Research: A Qualitative Perspective , 1987 .
[151] InduShobha N. Chengalur-Smith,et al. The Impact of Experience and Time on the Use of Data Quality Information in Decision Making , 2003, Inf. Syst. Res..
[152] Peter Buneman,et al. Provenance in databases , 2009, SIGMOD '07.
[153] Arne Sølvberg,et al. Understanding quality in conceptual modeling , 1994, IEEE Software.
[154] Martin J. Eppler. Managing Information Quality , 2003 .
[155] Jordi Nin Guerrero,et al. Blocking anonymized data , 2007 .
[156] Graeme G. Shanks,et al. Conceptual Data Modelling: an empirical study of expert and novice data modellers , 1997, Australas. J. Inf. Syst..
[157] Arie Hordijk,et al. Series Expansions for Continuous-Time Markov Processes , 2010, Oper. Res..
[158] Martin J. Eppler,et al. Information Quality - organizational, technological, and legal perspectives , 2004 .
[159] Pierre Baldi,et al. Assessing the accuracy of prediction algorithms for classification: an overview , 2000, Bioinform..
[160] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[161] James A. Thom,et al. Ontology evaluation using wikipedia categories for browsing , 2007, CIKM '07.
[162] Ronald W. Helms. Data Quality Issues in Electronic Data Capture , 2001 .
[163] Gianluca Demartini,et al. ZenCrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking , 2012, WWW.
[164] Zheng Zhou,et al. Development and validation of an instrument to measure user perceived service quality of information presenting Web portals , 2005, Inf. Manag..
[165] Keith A. Willoughby. Title of article: , 2010 .
[166] Lilia Maria Vargas,et al. Research into Information Quality: A Study of the State of the Art in IQ and Its Consolidation , 2006, ICIQ.
[167] Salvatore J. Stolfo,et al. Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem , 1998, Data Mining and Knowledge Discovery.
[168] M. McCloskey,et al. Natural categories: Well defined or fuzzy sets? , 1978 .
[169] Norman W. Paton,et al. Feedback-based annotation, selection and refinement of schema mappings for dataspaces , 2010, EDBT '10.
[170] Mario Mezzanzanica,et al. The Federal Observatory of the Labour Market in Lombardy: Models and Methods for the costruction of a Statistical Information System for Data Analysis , 2009 .
[171] Richard Y. Wang,et al. IP-MAP: Representing the Manufacture of an Information Product , 2000, IQ.
[172] Diane M. Strong,et al. A Model for Delivering Quality Information as Product and Service , 1997, IQ.
[173] Arie Segev. On Information Quality and the WWW Impact: A Position Paper , 1996, IQ.
[174] Shamkant B. Navathe,et al. Conceptual Database Design: An Entity-Relationship Approach , 1991 .
[175] M. Goodchild. Citizens as sensors: the world of volunteered geography , 2007 .
[176] Joerg Evermann,et al. Evaluating Ontologies: Towards a Cognitive Measure of Quality , 2007, 2007 Eleventh International IEEE EDOC Conference Workshop.
[177] Alon Y. Halevy,et al. Pay-as-you-go user feedback for dataspace systems , 2008, SIGMOD Conference.
[178] Ping Zhang,et al. A Comparison of the Most Important Website Features in Different Domains: An Empirical Study of User Perceptions , 2000 .
[179] John Krogstie,et al. Defining quality aspects for conceptual models , 1995, ISCO.
[180] Matthew Lease,et al. Crowdsourcing Document Relevance Assessment with Mechanical Turk , 2010, Mturk@HLT-NAACL.
[181] Ron Weber,et al. Research Commentary: Information Systems and Conceptual Modeling - A Research Agenda , 2002, Inf. Syst. Res..
[182] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[183] Daniel L. Sherrell,et al. Communications of the Association for Information Systems , 1999 .
[184] Samuli Pekkola,et al. Factors influencing the alignment of SOA development with business objectives , 2009, ECIS.
[185] Robert Stevens,et al. The Current State of SKOS Vocabularies on the Web , 2012, ESWC.
[186] Yair Wand,et al. Using Cognitive Principles to Guide Classification in Information Systems Modeling , 2008, MIS Q..
[187] Bernd Heinrich,et al. Assessing data currency — a probabilistic approach , 2011, J. Inf. Sci..
[188] Christopher P. Firth. Data Quality in Practice: Experience from the Front Line , 1996, IQ.
[189] Carol Friedman,et al. Research Paper: The Canon Group's Effort: Working Toward a Merged Model , 1995, J. Am. Medical Informatics Assoc..
[190] Stuart E. Madnick,et al. Overview and Framework for Data and Information Quality Research , 2009, JDIQ.
[191] Stuart E. Madnick,et al. Improving data quality through effective use of data semantics , 2006, Data Knowl. Eng..
[192] Richard N. Shiffman,et al. Collaboration between the Medical Informatics Community and Guideline Authors: Fostering HIT Standard Development that Matters , 2006, AMIA.
[193] R. Thomson,et al. Using routine comparative data to assess the quality of health care: understanding and avoiding common pitfalls , 2003, Quality & safety in health care.
[194] Raymond J. Mooney,et al. Adaptive Blocking: Learning to Scale Up Record Linkage , 2006, Sixth International Conference on Data Mining (ICDM'06).
[195] Darijus Strasunskas,et al. Empirical Insights on a Value of Ontology Quality in Ontology-Driven Web Search , 2008, OTM Conferences.
[196] InduShobha N. Chengalur-Smith,et al. The Impact of Data Quality Information on Decision Making: An Exploratory Analysis , 1999, IEEE Trans. Knowl. Data Eng..
[197] Stacey L Knobler,et al. The Critical Path to New Medical Products , 2005 .
[198] Ron Weber,et al. An Ontological Model of an Information System , 1990, IEEE Trans. Software Eng..
[199] Edward Curry,et al. XBRL and open data for global financial ecosystems: A linked data approach , 2012, Int. J. Account. Inf. Syst..
[200] Charles N Mead,et al. Data interchange standards in healthcare IT--computable semantic interoperability: now possible but still difficult, do we really need a better mousetrap? , 2006, Journal of healthcare information management : JHIM.
[201] AnHai Doan,et al. Matching Schemas in Online Communities: A Web 2.0 Approach , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[202] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[203] Bill Hostmann,et al. Magic Quadrant for Business Intelligence Platforms , 2010 .
[204] Anca Ioana Andreescu,et al. Combining actual trends in software systems for business management , 2008, CompSysTech.
[205] Ramakrishnan Srikant,et al. Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.
[206] M. D. Myers,et al. Qualitative Research in Business & Management , 2008 .
[207] Felix Naumann,et al. Information Quality: How Good Are Off-The-Shelf DBMS? , 2004, ICIQ.
[208] Daisy Zhe Wang,et al. Probabilistic declarative information extraction , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[209] J J Cimino,et al. Toward a medical-concept representation language. The Canon Group. , 1994, Journal of the American Medical Informatics Association : JAMIA.
[210] P. Mouncey. Improving Data Warehouse and Business Information Quality , 2001 .
[211] Jeff Heflin,et al. Extending Functional Dependency to Detect Abnormal Data in RDF Graphs , 2011, SEMWEB.
[212] Diane M. Strong,et al. AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..
[213] Diane M. Strong,et al. Product and Service Performance Model for Information Quality: An Update , 1998, IQ.
[214] Paolo Traverso,et al. Automatic OBDD-Based Generation of Universal Plans in Non-Deterministic Domains , 1998, AAAI/IAAI.
[215] A. Parasuraman,et al. The Behavioral Consequences of Service Quality , 1996 .
[216] Maurice van Keulen,et al. A probabilistic XML approach to data integration , 2005, 21st International Conference on Data Engineering (ICDE'05).
[217] Ivan M. Milman,et al. Enterprise Master Data Management: An SOA Approach to Managing Core Information , 2008 .
[218] Keizo Oyama,et al. A Fast Linkage Detection Scheme for Multi-Source Information Integration , 2005, International Workshop on Challenges in Web Information Retrieval and Integration.
[219] Roman Lukyanenko,et al. Information Loss in the Era of User-Generated Data , 2012 .
[220] G. McLachlan. Discriminant Analysis and Statistical Pattern Recognition , 1992 .
[221] Daniele Magazzeni,et al. A universal planning system for hybrid domains , 2011, Applied Intelligence.
[222] Michael Rosenblatt,et al. The Clinical Trials Enterprise in the United States: A Call for Disruptive Innovation , 2012 .
[223] Ron Weber,et al. On the deep structure of information systems , 1995, Inf. Syst. J..
[224] Gerhard Knolmayer,et al. Quality of Material Master Data and Its Effect on the Usefulness of Distributed ERP Systems , 2006, ER.
[225] Norbert Ritter,et al. Duplicate detection in probabilistic data , 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).
[226] T. Davenport. Competing on analytics. , 2006, Harvard business review.
[227] Peter Christen. Towards Parameter-free Blocking for Scalable Record Linkage , 2007 .
[228] José Farinha,et al. A Data Quality Metamodel Extension to CWM , 2007, APCCM.
[229] Maria Grazia Fugini,et al. Analysis-Sensitive Conversion of Administrative Data into Statistical Information Systems , 2007, ICEIS.
[230] B. Russell. Our Knowledge of the External World , 1960 .
[231] Veda C. Storey,et al. A Framework for Analysis of Data Quality Research , 1995, IEEE Trans. Knowl. Data Eng..
[232] Serge Abiteboul,et al. Foundations of Databases , 1994 .
[233] Donald P. Ballou,et al. Designing Information Systems to Optimize the Accuracy-Timeliness Tradeoff , 1995, Inf. Syst. Res..
[234] David R. Karger,et al. Human-powered Sorts and Joins , 2011, Proc. VLDB Endow..
[235] Ahmed K. Elmagarmid,et al. Duplicate Record Detection: A Survey , 2007, IEEE Transactions on Knowledge and Data Engineering.
[236] Aldo Gangemi,et al. Modelling Ontology Evaluation and Validation , 2006, ESWC.
[237] Robert Kern,et al. Exploring the "Crowd" as enabler of better information quality , 2011, ICIQ.
[238] Alexander Maedche,et al. An ERP-centric Master Data Management Approach , 2010, AMCIS.
[239] Alexander Borgida,et al. Conceptual Modeling of Information Systems , 1985, On Knowledge Base Management Systems.
[240] Edward Curry,et al. The Role of Community-Driven Data Curation for Enterprises , 2010, Linking Enterprise Data.
[241] Matthias Jarke,et al. Architecture and Quality in Data Warehouses , 1998, CAiSE.
[242] Marcus Kaiser,et al. A Procedure to Develop Metrics for Currency and its Application in CRM , 2009, JDIQ.
[243] Thomas Redman,et al. The impact of poor data quality on the typical enterprise , 1998, CACM.
[244] J. Silvertown. A new dawn for citizen science. , 2009, Trends in ecology & evolution.
[245] Richard Y. Wang,et al. Manage Your Information as a Product , 1998 .
[246] Martin J. Eppler,et al. Quality Criteria of Content-Driven Websites and their Influence on Customer Satisfaction and Loyalty: an Empirical Test of an Information Quality Framework , 2003, ICIQ.
[247] Anthony Hunter,et al. Approaches to Measuring Inconsistent Information , 2005, Inconsistency Tolerance.
[248] Mh Monique Jansen-Vullers,et al. Business process simulation - tool survey , 2006 .
[249] Felix Naumann,et al. XML Duplicate Detection Using Sorted Neighborhoods , 2006, EDBT.
[250] Tim Kraska,et al. CrowdDB: answering queries with crowdsourcing , 2011, SIGMOD '11.
[251] Kwang-Ting Cheng,et al. Automatic Functional Test Generation Using The Extended Finite State Machine Model , 1993, 30th ACM/IEEE Design Automation Conference.
[252] Richard Y. Wang,et al. Anchoring data quality dimensions in ontological foundations , 1996, CACM.
[253] M. de Rijke,et al. Broad expertise retrieval in sparse data environments , 2007, SIGIR.
[254] Yair Wand,et al. Emancipating instances from the tyranny of classes in information modeling , 2000, TODS.
[255] Alex Berson,et al. Master Data Management And Customer Data Integration For A Global Enterprise , 2007 .
[256] Adir Even,et al. Economics-Driven Data Management: An Application to the Design of Tabular Data Sets , 2007, IEEE Transactions on Knowledge and Data Engineering.
[257] Gary Wills,et al. An evaluation of Information quality frameworks for the World Wide Web , 2006 .
[258] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[259] Varghese S. Jacob,et al. Assessing Data Quality for Information Products: Impact of Selection, Projection, and Cartesian Product , 2004, Manag. Sci..
[260] Marta Indulska,et al. How do practitioners use conceptual modeling in practice? , 2006, Data Knowl. Eng..
[261] Zhengxin Chen,et al. Duplicate detection using k-way sorting method , 2000, SAC '00.
[262] Craig A. Knoblock,et al. Learning Blocking Schemes for Record Linkage , 2006, AAAI.
[263] Marcel Schoppers,et al. Universal Plans for Reactive Robots in Unpredictable Environments , 1987, IJCAI.
[264] Mario Piattini,et al. A Portal Data Quality Model For Users And Developers , 2007, ICIQ.
[265] L. Nordsletten,et al. Local and national electronic databases in Norway demonstrate a varying degree of validity. , 2005, Journal of clinical epidemiology.
[266] Stuart E. Madnick,et al. A Cyclic-Hierarchical Method for Database Data-Quality Evaluation and Improvement , 2014 .
[267] Ramanathan V. Guha,et al. Propagation of trust and distrust , 2004, WWW '04.
[268] Boris Otto,et al. One Size Does Not Fit All---A Contingency Approach to Data Governance , 2009, JDIQ.
[269] Mark Gaynor,et al. Implications of sensors and sensor-networks for data quality management , 2008, Int. J. Inf. Qual..
[270] Sarah Hudson Scholle,et al. Comparison of administrative-only versus administrative plus chart review data for reporting HEDIS hybrid measures. , 2007, The American journal of managed care.
[271] Hendrik Decker,et al. Modeling, Measuring and Monitoring the Quality of Information , 2009, ER Workshops.
[272] Thomas R. Gruber,et al. A translation approach to portable ontology specifications , 1993 .
[273] Craig W. Fisher,et al. An Accuracy Metric: Percentages, Randomness, and Probabilities , 2009, JDIQ.
[274] Kenneth A Getz,et al. Assessing the Impact of Protocol Design Changes on Clinical Trial Performance , 2008, American journal of therapeutics.
[275] Paolo Missier,et al. Forget Dimensions: Define Your Information Quality Using Quality View Patterns , 2014 .
[276] Thomas H. Davenport,et al. Information Ecology: Mastering the Information and Knowledge Environment , 1997 .
[277] Anja Klein. Incorporating quality aspects in sensor data streams , 2007, PIKM '07.
[278] Jiajie Zhang,et al. Operationalization of the UFuRT methodology for usability analysis in the clinical research data management domain , 2009, J. Biomed. Informatics.
[279] Larry P. English. Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits , 1999 .
[280] Shai Ben-David,et al. Modeling and Querying Possible Repairs in Duplicate Detection , 2009, Proc. VLDB Endow..
[281] John A. Hoxmeier. Typology of database quality factors , 1998, Software Quality Journal.
[282] James M. Lang. The Benefits of Making It Harder to Learn. , 2012 .
[283] Peter Fankhauser,et al. A Precise Blocking Method for Record Linkage , 2005, DaWaK.
[284] Volker Gruhn,et al. Complexity Metrics for business Process Models , 2006, BIS.
[285] Harri Haapasalo,et al. Managing One Master Data - Challenges and Preconditions , 2010, Ind. Manag. Data Syst..
[286] Knut Hinkelmann,et al. C2ST: A QUALITY FRAMEWORK TO EVALUATE E-GOVERNMENT SERVICE DELIVERY , 2009 .
[287] Carlo Batini,et al. Methodologies for data quality assessment and improvement , 2009, CSUR.
[288] Christer Carlsson,et al. Past, present, and future of decision support technology , 2002, Decis. Support Syst..
[289] David J. Hand,et al. How to lie with bad data , 2005 .
[290] Graeme Shanks,et al. A Semiotic Information Quality Framework , 2004 .
[291] Barbara D. Klein. User Perceptions of Data Quality: Internet and Traditional Text Sources , 2001, J. Comput. Inf. Syst..
[292] Hendrik Decker. Causes of the Violation of Integrity Constraints for Supporting the Quality of Databases , 2011, ICCSA.
[293] Wei Zhang,et al. A Framework for Corporate Householding , 2002, ICIQ.
[294] Martha Palmer,et al. Verb Semantics and Lexical Selection , 1994, ACL.
[295] Diane M. Strong,et al. Teaching Information Quality in Information Systems Undergraduate Education , 1999, Informing Sci. Int. J. an Emerg. Transdiscipl..
[296] Anette Weisbecker,et al. Master Data Management: Products and Research , 2009, ICIQ.
[297] Ruth Sara Aguilar-Savén,et al. Business process modelling: Review and framework , 2004 .
[298] Enrico Motta,et al. A framework for evaluating semantic metadata , 2007, K-CAP '07.
[299] Fred D. Davis,et al. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .
[300] William J. Doll,et al. The measurement of end-user computing satisfaction: theoretical and methodological issues , 1991 .
[301] Fabio Stella,et al. Dependency Discovery in Data Quality , 2010, CAiSE.
[302] Felix Naumann,et al. Assessment Methods for Information Quality Criteria , 2000, IQ.
[303] Benedetto Intrigila,et al. UPMurphi: A Tool for Universal Planning on PDDL+ Problems , 2009, ICAPS.
[304] Peter Christen,et al. Towards Scalable Real-Time Entity Resolution using a Similarity-Aware Inverted Index Approach , 2008, AusDM.
[305] Jeffrey Parsons,et al. Effects of Local Versus Global Schema Diagrams on Verification and Communication in Conceptual Data Modeling , 2002, J. Manag. Inf. Syst..
[306] Alistair Miles,et al. SKOS: Simple Knowledge Organisation for the Web , 2007 .
[307] Ying Su,et al. A Methodology For Information Quality Assessment In The Designing And Manufacturing Processes Of Mechanical Products , 2004, ICIQ.
[308] Philip Resnik,et al. Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.
[309] Edward Curry,et al. Leveraging matching dependencies for guided user feedback in linked data applications , 2012, IIWeb '12.
[310] Marsha Ann Tate,et al. Web Wisdom: How To Evaluate and Create Information Quality on the Web , 1999 .
[311] Josep-Lluís Larriba-Pey,et al. On the Use of Semantic Blocking Techniques for Data Cleansing and Integration , 2007, 11th International Database Engineering and Applications Symposium (IDEAS 2007).
[312] Andreas Thor,et al. Multi-pass sorted neighborhood blocking with MapReduce , 2012, Computer Science - Research and Development.
[313] David Loshin,et al. The Practitioner's Guide to Data Quality Improvement , 2010 .
[314] M. Do. Fast approximation of Kullback-Leibler distance for dependence trees and hidden Markov models , 2003, IEEE Signal Processing Letters.
[315] Barry W. Boehm,et al. Understanding and Controlling Software Costs , 1988, IEEE Trans. Software Eng..
[316] Andy Koronios,et al. Towards a Capability Maturity Model for Information Quality Management: A TDQM Approach , 2006, ICIQ.
[317] Peter Christen,et al. A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication , 2012, IEEE Transactions on Knowledge and Data Engineering.
[318] Ephraim R. McLean,et al. Information Systems Success: The Quest for the Independent Variables , 1992, J. Manag. Inf. Syst..
[319] Felix Naumann,et al. An Introduction to Duplicate Detection , 2010, An Introduction to Duplicate Detection.
[320] Paul C. Tang,et al. Position Paper: AMIA Advocates National Health Information System in Fight Against National Health Threats , 2002, J. Am. Medical Informatics Assoc..
[321] Elena Console,et al. Data Fusion , 2009, Encyclopedia of Database Systems.
[322] Diane M. Strong,et al. Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..
[323] Anders Haug,et al. Barriers to master data quality , 2011, J. Enterp. Inf. Manag..
[324] S. Kemmis,et al. Participatory Action Research: Communicative Action and the Public Sphere. , 2005 .
[325] James D. McKeen,et al. Developments in Practice XXX: Master Data Management: Salvation Or Snake Oil? , 2008, Commun. Assoc. Inf. Syst..
[326] Steve Tuck. Is MDM the route to the Holy Grail? , 2008 .
[327] Susan Gauch,et al. Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web , 2000, SIGIR '00.
[328] Vassilis Moustakis,et al. Website Quality Assessment Criteria , 2004, ICIQ.
[329] Jennifer Widom,et al. Lineage tracing in data warehouses , 2001 .
[330] Audun Jøsang,et al. A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..