Proceedings articles (refereed conferences and workshops)

2024

1. Carlos Ordonez, Wojciech Macyna, Ladjel Bellatreche:
   Energy-Aware Analytics in the Cloud,
   ACM SIGMOD Workshop: BIDEDE 2024: [PDF] [PPT]
2. Carlos Ordonez, Robin Varghese, Nguyen Phan, Wojciech Macyna:
   Growing a FLOWER: Building a Diagram Unifying Flow and ER Notation for Data Science,
   ACM SIGMOD Workshop: HILDA 2024: [PDF] [PPT]

2023

3. Robin Varghese, Carlos Ordonez:
   Understanding Data Pre-processing with a Hybrid Diagram Integrating ER and Data Flow Notation,
   IEEE Big Data 2023: [PDF]
4. Ladjel Bellatreche, Fouad Djellali, Wojciech Macyna, Carlos Ordonez:
   Energy-Aware Query Processing: A Case Study on Join Reordering,
   IEEE Big Data 2023: [PDF]
5. Elijah Mitchell, Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez:
   FLOWER: Viewing Data Flow in ER Diagrams,
   DAWAK Conference 2023: [PDF] [PPT]
6. Robin Varghese, Carlos Ordonez:
   1mproving Stochastic Gradient Descent Initializing with Data Summarization,
   DAWAK Conference 2023: [PDF] [PPT]
7. Abir Farouzi, Xiantian Zhou, Ladjel Bellatreche, Mimoun Malki, Carlos Ordonez:
   Parallel Pattern Enumeration in Large Graphs,
   DEXA Conference 2023: [PDF] [PPT]
8. Xiantian Zhou, Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez:
   Bitwise Algorithms to Compute the Transitive Closure of Graphs in Python,
   DEXA Conference 2023: [PDF] [PPT]

2022

9. Carlos Ordonez:
   Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries,
   IEEE BigData 2022: 1-1 [PDF] [PPT]
10. Carlos Garcia-Alvarado, Carlos Ordonez:
    In-DBMS K-means Clustering for Binary Streams,
    IEEE BigData 2022: 1-1 [PDF] [PPT]
11. Carlos Ordonez, Ian Fund, Ladjel Bellatreche:
    Comparing Association Rules and Deep Neural Networks for Heart Disease Prediction,
    IEEE BigData 2022: 1-1 [PDF] [PPT]
12. Sikder Tahsin Al-Amin, Robin Varghese, David Lloyd, Maria A. Gonzalez-Gonzalez, Mario I. Romero-Ortega, Carlos Ordonez:
    Discovering Similar Spike Patterns in High Dimensional Biomedical Signals,
    IEEE BigData 2022: 1-1 [PDF] [PPT]
13. Ayoub Bouhatous, Ladjel Bellatreche, El Hassan Abdelwahed, Carlos Ordonez:
    The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses,
    IEEE BigData 2022: 1-1 [PDF] [PPT]
14. Sikder Tahsin Al-Amin, Mohammad Imtiaz Nur, Aisha M. Farooque, Guoning Chen, Robin Varghese, Carlos Ordonez:
    A Different VIM: Visualizing Incremental Machine Learning,
    ACM CIKM Conference 2022: [PDF] [PPT]
15. Wellington Cabrera, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez:
    GALGO: Scalable Graph Analytics with a Parallel DBMS,
    ACM CIKM Conference 2022: [PDF] [PPT]

2021

16. Xiantian Zhou, Carlos Ordonez:
    Programming Languages in Data Science: a Comparison from a Database Angle,
    IEEE BigData Conference 2021: 3147-3154 [PDF]
17. Sikder Tahsin Al-Amin, Carlos Ordonez:
    Fast Machine Learning in Data Science with a Comprehensive Data Summarization,
    IEEE BigData 2021: 2941-2948 [PDF]
18. Xiantian Zhou, Carlos Ordonez.
    Efficient Graph Analytics in Python for Large-scale Data Science,
    DAWAK Conference 2021: [PDF]
19. Soumia Benkrid, Yacine Mestoui, Ladjel Bellatreche, Carlos Ordonez.
    Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL,
    DAWAK Conference 2021: [PDF]

2020

20. Carlos Ordonez.
    A Comparison of Data Science Systems,
    BDA Conference (Big Data Analytics, India) 2020: [PDF] [PPT]
21. Sikder Tahsin Al Amin, Siva Uday Sampreeth Chebolu, Carlos Ordonez.
    Extending the R Language with a Scalable Matrix Summarization Operator,
    IEEE Big Data Conference (BigData) 2020: [PDF] [PPT]
22. Soumia Benkrid, Yacine Mestoui, Ladjel Bellatreche, Carlos Ordonez.
    A Genetic Optimization Physical Planner for Big Data Warehouses,
    IEEE Big Data Conference (BigData) 2020: [PDF] [PPT]
23. Carlos Ordonez, Sikder Tahsin Al Amin, Xiantian Zhou.
    A Simple Low Cost Parallel Architecture for Big Data Analytics,
    IEEE Big Data Conference (BigData, Benchmarking, Performance Tuning and Optimization for Big Data Workshop) 2020: [PDF] [PPT]
24. Simon Pierre Dembele, Ladjel Bellatreche, Carlos Ordonez.
    Towards Green Query Processing - Auditing Power Before Deploying,
    IEEE Big Data Conference (BigData, Energy-Efficient ML & Big Data Workshop) 2020: [PDF] [PPT]
25. Quangtri Thai, Carlos Ordonez, Omprakash Gnawali.
    Monitoring Networks with Queries Evaluated by Edge Computing,
    IEEE Big Data Conference (BigData, Real-time Stream Analytics, Stream Mining Workshop) 2020: [PDF] [PPT]
26. Carlos Garcia-Alvarado, Carlos Ordonez.
    Querying Big Source Code,
    IEEE Big Data Conference (BigData, posters) 2020: [PDF] [PPT]
27. Xiantian Zhou, Carlos Ordonez.
    Matrix Multiplication with SQL Queries for Graph Analytics,
    IEEE Big Data Conference (BigData, posters) 2020: [PDF] [PPT]
28. Carlos Ordonez, Sikder Tahsin Al-Amin, Ladjel Bellatreche.
    An ER-Flow Diagram for Big Data,
    IEEE Big Data Conference (BigData, posters) 2020: [PDF] [PPT]
29. Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki.
    A Scalable Randomized Algorithm for Triangle Enumeration on Graphs based on SQL Queries,
    DAWAK Conference 2020: [PDF] [PPT]
30. Sikder Tahsin Al-Amin, Carlos Ordonez.
    Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization,
    DAWAK Conference 2020: [PDF]
31. Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki.
    PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries,
    ACM CIKM Conference 2020: [PDF]
32. Quangtri Thai, Carlos Ordonez, Omprakash Gnawali.
    Monitoring Networks with Insightful Queries,
    ACM WINTECH Workshop 2020: [PDF]
33. Carlos Ordonez, Zhibo Chen, Alfredo Cuzzocrea, Javier Garcia-Garcia.
    An Intelligent Visual Big Data Analytics Framework for Supporting Interactive Exploration and Visualization of Big OLAP Cubes,
    IEEE IV Conference (Information Visualization) 2020: [PDF]

2019

34. Xiantian Zhou, Carlos Ordonez.
    Computing Complex Graph Properties with SQL Queries,
    IEEE Big Data Conference (BigData, BigGraphs workshop) 2019: [PDF]
35. Dihia Lanasri, Carlos Ordonez, Ladjel Bellatreche, Selma Khouri.
    ER4ML: An ER Modeling Tool to Represent Data Transformations in Data Science,
    ER Conference 2019: [PDF]
36. Siva Uday Sampreeth Chebolu, Carlos Ordonez, Sikder Tahsin Al-Amin.
    Scalable Machine Learning in the R Language Using a Summarization Matrix,
    DEXA Conference 2019: [PDF]
37. Jorge Galicia, Amin Mesmoudi, Ladjel Bellatreche, Carlos Ordonez.
    Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis,
    DEXA Conference 2019: [PDF]
38. Carlos Ordonez, Ladjel Bellatreche.
    Enhancing ER Diagrams to View Data Transformations Computed with Queries,
    DOLAP Workshop, 2018 [PDF]
39. Nabila Berkani, Ladjel Bellatreche, Selma Khouri, Carlos Ordonez.
    Value-driven Approach for Designing Extended Data Warehouses,
    DOLAP Workshop, 2018 [PDF]

2018

40. Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez.
    ETL-aware Materialized View Selection in Semantic Data Stream Warehouses,
    IEEE RCIS Conference, 2018 [PDF]
41. Carlos Ordonez, Predrag T. Tosic.
    Time Complexity and Parallel Speedup of Relational Queries to Solve Graph Problems,
    DEXA Conference 2018: 339-349 [PDF]
42. Djahida Belayadi, Khaled-Walid Hidouci, Ladjel Bellatreche, Carlos Ordonez.
    Cost Effective Load-Balancing Approach for Range-Partitioned Main-Memory Resident Data,
    DEXA Conference 2018: 239-249 [PDF]
43. Carlos Ordonez, Ladjel Bellatreche.
    A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns,
    DEXA Conference (workshops) 2018: 5-20 [PDF]
44. Sikder Tahsin Al-Amin, Carlos Ordonez, Ladjel Bellatreche.
    Big Data Analytics: Exploring Graphs with Optimized SQL Queries,
    DEXA Conference (workshops) 2018: 88-100 [PDF]

2017

45. Carlos Ordonez, Theodore Johnson, Simon Urbanek, Vladislav Shkapenyuk, Divesh Srivastava.
    Integrating the R Language Runtime System with a Data Stream Warehouse,
    DEXA Conference, 2017 [PDF]
46. Yiqun Zhang, Carlos Ordonez, Lennart Johnsson.
    A Cloud System for Machine Learning Exploiting a Parallel Array DBMS,
    DEXA Conference (workshops), 2017 [PDF]
47. Carlos Ordonez, Theodore Johnson, Divesh Srivastava, Simon Urbanek.
    A Tool for Statistical Analysis on Network Big Data,
    DEXA Conference (workshops), 2017 [PDF]
48. Predrag T. Tosic, Carlos Ordonez.
    Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems,
    HoloMAS Conference, 2017 [PDF]
49. Yiqun Zhang, Carlos Ordonez, Javier Garcia-Garcia, Ladjel Bellatreche.
    Optimization of Percentage Cube Queries,
    DOLAP Workshop (EDBT workshop, no longer ACM), 2017 [PDF]

2016

50. Wellington Cabrera, Carlos Ordonez.
    Unified algorithm to solve several graph problems with relational queries,
    Proc. Alberto Mendelzon International Workshop on Foundations of Data Management (AMW), 2016 [PDF]
51. Carlos Ordonez, Yiqun Zhang.
    Time Complexity and Parallel Speedup to Compute the Gamma Summarization Matrix,
    Proc. Alberto Mendelzon International Workshop on Foundations of Data Management (AMW), 2016 [PDF]
52. Yiqun Zhang, Carlos Ordonez, Wellington Cabrera,
    Big Data Analytics Integrating a Parallel Columnar DBMS and the R Language,
    IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2016 [PDF]
53. Carlos Ordonez, Javier Garcia,
    Managing Big Data Analytics Workflows with a Database System,
    IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2016 [PDF]
54. Wellington Cabrera, Driss Benhaddou, Carlos Ordonez,
    Solar Power Prediction for Smart Community Microgrid,
    IEEE SSC (Sensors and Smart Cities workshop), 2016 [PDF]

2015

55. Yiqun Zhang, Wellington Cabrera, Carlos Ordonez.
    The Gamma Operator to Summarize Dense and Sparse Data Sets on the SciDB Array Database System,
    New England Database Day at MIT (NEDB 2015)
    2015. [Abstract]
56. Wellington Cabrera, Yiqun Zhang, Carlos Ordonez.
    Fast Recursive Query Evaluation in a Columnar DBMS to Analyze Large Graphs,
    New England Database Day at MIT (NEDB 2015)
    2015. [Abstract]

2014

57. Carlos Ordonez, Yiqun Zhang, Wellington Cabrera.
    The Gamma Operator for Big Data Summarization on an Array DBMS,
    Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings (BigMine 2014),
    2014. [JMLR @ MIT]
58. David S. Matusevich, Carlos Ordonez.
    A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries,
    Journal of Machine Learning Research (JMLR): Workshop and Conference Proceedings (BigMine 2014),
    2014. [JMLR @ MIT]
59. Carlos Ordonez, Achyuth Gurram, Nirmala Rai.
    Recursive Query Evaluation in a Column DBMS to Analyze Large Graphs,
    Proc. ACM DOLAP Workshop,
    2014. [ACM]
60. Carlos Garcia-Alvarado, Carlos Ordonez.
    ONTOCUBO: Cube-based Ontology Construction and Exploration,
    Proc. ACM SIGMOD Conference,
    p. 1083-1086, 2014, demo paper. [PDF] [ACM]
61. Fermin Ornelas, Carlos Ordonez, Daniel Huston.
    Predicting Student Success: An Application to Community College Data,
    Proc. Association for Institutional Research Forum (AIR),
    2014. [PDF]

2013

62. Carlos Ordonez, Javier Garcia-Garcia, Carlos Garcia-Alvarado, Wellington Cabrera,
    Veerabhadran Baladandayuthapani, Mohammed S. Quraishi,
    Data mining algorithms as a service in the cloud exploiting relational database systems,
    Proc. ACM SIGMOD Conference,
    p. 1001-1004, 2013 [PDF] [ACM]
63. Carlos Ordonez,
    Can We Analyze Big Data inside a DBMS?,
    Proc. ACM DOLAP Workshop,
    2013. [PDF] [ACM]
64. Zhibo Chen, Carlos Ordonez,
    Optimizing OLAP Cube Processing on Solid State Drives,
    Proc. ACM DOLAP Workshop,
    2013. [PDF] [ACM]
65. Carlos Garcia-Alvarado, Carlos Ordonez,
    Clustering Cubes with Binary Dimensions in One Pass,
    Proc. ACM DOLAP Workshop,
    2013. [PDF] [ACM]
66. David Sergio Matusevich, Carlos Ordonez, Veerabhadran Baladandayuthapani.
    A Fast Convergence Clustering Algorithm Merging MCMC And EM Methods,
    Proc. ACM CIKM Conference,
    2013. [PDF] [ACM]
67. Wellington Cabrera, Carlos Ordonez, David Sergio Matusevich, Veerabhadran Baladandayuthapani,
    Bayesian Variable Selection for Linear Regression in High Dimensional Microarray Data,
    Proc. ACM DTMBIO Workshop (CIKM Conference Workshop),
    2013. [PDF] [ACM]

2012

68. Carlos Garcia-Alvarado, Carlos Ordonez.
    Query Processing on Cubes Mapped from Ontologies to Dimension Hierarchies,
    Proc. ACM DOLAP Workshop (CIKM Conference Workshop),
    2012. [PDF] [ACM]
69. Carlos Garcia-Alvarado, Carlos Ordonez, Veerabhadran Baladandayuthapani.
    Querying External Source Code Files of Programs Connecting to a Relational Database,
    Proc. ACM PIKM Workshop (CIKM Conference Workshop),
    2012. [PDF] [ACM]
70. Carlos Ordonez, Naveen Mohanam, Carlos Garcia-Alvarado, Predrag T. Tosic, Edgar Martinez.
    Fast PCA Computation in a DBMS with Aggregate UDFs and LAPACK,
    Proc. ACM CIKM Conference,
    2012. [PDF] [ACM]
71. Carlos Ordonez, Javier Garcia-Garcia, Zhibo Chen.
    Dynamic Optimization of Generalized SQL Queries with Horizontal Aggregations,
    Proc. ACM SIGMOD Conference,
    p.637-640, 2012, demo paper. [PDF] [ACM]
72. Carlos Garcia-Alvarado, Carlos Ordonez.
    Integrating and querying source code of programs working on a database,
    Proc. ACM Workshop on Keyword Search on Structured Data (KEYS, SIGMOD Conference Workshop),
    p.47-53, 2012. [PDF] [ACM]
73. Predrag T. Tosic, Philip Dasler, Carlos Ordonez.
    On Finding and Learning Effective Strategies for Complex Non-Zero-Sum Repeated Games,
    Proc. IEEE Intelligent Agent Technology (IAT),
    2012. [PDF] [IEEE]
74. Predrag T. Tosic, Carlos Ordonez.
    Distributed Protocols for Multi-Agent Coalition Formation: A Negotiation Perspective,
    Proc. Active Media Technology (AMT), Springer LNCS
    2012. [PDF] [Springer]
75. Carlos Ordonez, Naveen Mohanam, Carlos Garcia-Alvarado.
    Efficient One-pass Algorithms for Data Mining based on UDFs,
    New England Database Day at MIT (NEDB 2012)
    2015. [Abstract]
76. Carlos Garcia-Alvarado, Carlos Ordonez, Naveen Mohanam, Edgar Martinez-Encarnacion, Predrag T. Tosic.
    Efficient Linear Algebra Processing Inside a Database Management System,
    Proc. 9th International Workshop on Accurate Solution of Eigenvalue Problems at UC/Berkeley (IWASEP),
    p.13, 2012, abstract.
77. Carlos Ordonez.
    Integrating Database Systems and Data Mining Algorithms,
    8th Journees francophones sur les Entrepots de Donnees et l'Analyse en ligne (EDA'12),
    p.1, 2012, invited keynote abstract, not peer-reviewed.

2011

78. Carlos Ordonez, Sasi K. Pitchaimalai.
    One-pass data mining algorithms in a DBMS with UDFs,
    Proc. ACM SIGMOD Conference,
    2011, demo paper. [PDF] [ACM]
79. Carlos Ordonez, Carlos Garcia-Alvarado,
    A Data Mining System Based on SQL Queries and UDFs for Relational Databases,
    Proc. ACM CIKM Conference,
    2011, demo paper. [PDF] [ACM]
80. Carlos Garcia-Alvarado, Carlos Ordonez,
    Integrating and Querying Web Databases and Documents,
    Proc. ACM CIKM Conference,
    2011. [PDF] [ACM]
81. Carlos Garcia-Alvarado, Zhibo Chen, Carlos Ordonez,
    ONTOCUBE: Efficient Ontology Extraction using OLAP Cubes in a DBMS,
    Proc. ACM CIKM Conference,
    2011. [PDF] [ACM]
82. Carlos Ordonez, Zhibo Chen, Javier Garcia-Garcia.
    Interactive Exploration and Visualization of OLAP Cubes,
    Proc. ACM Workshop on Data Warehousing and OLAP (DOLAP, CIKM Conference Workshop),
    2011. [PDF] [ACM]

2010

83. Carlos Ordonez, Javier Garcia-Garcia.
    Database systems research on data mining,
    Proc. ACM SIGMOD Conference,
    p.1253-1254 , 2010, [PDF] [ACM]
84. Carlos Garcia-Alvarado, Carlos Ordonez.
    Keyword search across databases and documents,
    Proc. ACM Workshop on Keyword Search on Structured Data (KEYS, SIGMOD Conference Workshop),
    paper no. 2, 2010. [PDF] [ACM]
85. Carlos Garcia-Alvarado, Carlos Ordonez, Zhibo Chen.
    Query recommendation in digital libraries using OLAP,
    Proc. ACM Workshop on Keyword Search on Structured Data (KEYS, SIGMOD Conference Workshop),
    paper no. 6, 2010. [PDF] [ACM]
86. Zhibo Chen, Carlos Garcia-Alvarado, Carlos Ordonez.
    OLAP-based query recommendation,
    Proc. ACM CIKM Conference,
    p. 1353-1356, 2010. [PDF] [ACM]
87. Javier Garcia-Garcia, Carlos Ordonez.
    Repairing OLAP queries in databases with referential integrity errors,
    Proc. ACM Workshop on Data Warehousing and OLAP (DOLAP, CIKM Conference Workshop),
    p.61-66, 2010. [PDF] [ACM]
88. Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvarado.
    Relational versus non-relational database systems for data warehousing,
    Proc. ACM Workshop on Data Warehousing and OLAP (DOLAP, CIKM Conference Workshop),
    p.67-68, 2010; [PDF] [ACM]
89. Sasi K. Pitchaimalai, Carlos Ordonez, Carlos Garcia-Alvarado.
    Comparing SQL and MapReduce to compute Naive Bayes in a single table scan,
    Proc. ACM Workshop on Cloud Data Management (CloudDB, CIKM Conference Workshop),
    p. 9-16, 2010. [PDF] [ACM]
90. Walter Garcia, Carlos Ordonez, Kai Zhao, Ping Chen.
    Efficient algorithms based on relational queries to mine frequent graphs,
    Proc. ACM Ph.D. Workshop on Information and Knowledge Management (PIKM, CIKM Conference Workshop),
    p. 17-24, 2010. [PDF] [ACM]
91. Mario Navas, Carlos Ordonez, Veerabhadran Baladandayuthapani.
    On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs,
    Proc. IEEE ICDM Conference,
    p. 941-946, 2010. [PDF] [IEEE]
92. Mario Navas, Carlos Ordonez, Veera Baladandayuthapani,
    Fast PCA and Bayesian variable selection for large data sets based on SQL and UDFs,
    Proc. ACM KDD Workshop on Large-scale Data Mining: Theory and Applications (LDMTA, KDD Conference Workshop),
    2010 [PDF]

2009

93. Zhibo Chen, Carlos Ordonez, Carlos Garcia-Alvarado.
    Fast and dynamic OLAP exploration using UDFs,
    Proc. ACM SIGMOD Conference,
    p.1087-1090, 2009; demo paper. [PDF] [ACM]
94. Carlos Garcia-Alvarado, Carlos Ordonez, Zhibo Chen.
    DBDOC: querying and browsing databases and interrelated documents,
    Proc. ACM Workshop on Keyword Search on Structured Data (KEYS, SIGMOD Conference Workshop),
    p.47-48, 2009. [PDF] [ACM]
95. Carlos Ordonez, Javier Garcia-Garcia, Rogelio Montero-Campos, Carlos Garcia-Alvarado.
    A Referential Integrity Browser for Distributed Databases,
    Proc. ACM Workshop on the Web and Databases (WebDB, SIGMOD Conference Workshop),
    p.47-48, 2009. [PDF]
96. Javier Garcia-Garcia, Carlos Ordonez.
    Consistency-aware evaluation of OLAP queries in replicated data warehouses,
    Proc. ACM Workshop on Data Warehousing and OLAP (DOLAP, CIKM Conference Workshop),
    p.73-80, 2009. [PDF]
97. Mario Navas, Carlos Ordonez.
    Efficient computation of PCA with SVD in SQL,
    Proc. ACM KDD Workshop on Data Mining using Matrices and Tensors (DMMT, KDD Conference Workshop),
    Paper no. 5, 2009. [PDF]
98. Carlos Ordonez, Javier Garcia-Garcia, Michael J. Rote.
    Migration of data mining preprocessing into the DBMS,
    Proc. ACM KDD Workshop on Data Mining Case Studies (DMCS, KDD Conference Workshop),
    2009 [PDF]
99. Carlos Ordonez, Zhibo Chen.
    Exploration and visualization of OLAP cubes with statistical tests,
    Proc. ACM KDD Workshop on Visual Analytics and Knowledge Discovery (VAKD, KDD Conference Workshop),
    2009 [PDF]

2008

100. Carlos Garcia-Alvarado, Carlos Ordonez.
     Information retrieval from digital libraries in SQL,
     Proc. ACM Workshop on Web Information and Data Management (WIDM, CIKM Conference Workshop),
     p. 55-62, 2008. [PDF]
101. Waree Rinsurongkawong, Carlos Ordonez.
     Microarray data analysis with PCA in a DBMS,
     Proc. ACM Workshop on Data and Text Mining in Bioinformatics (DTMBIO, CIKM Conference Workshop),
     p. 13-20, 2008. [PDF]
102. Zhibo Chen, Carlos Ordonez.
     Efficient OLAP with UDFs,
     Proc. ACM Workshop on Data Warehousing and OLAP (DOLAP, CIKM Conference Workshop),
     p. 41-48, [PDF] 2008.
103. Javier Garcia-Garcia, Carlos Ordonez.
     Estimating and bounding aggregations in databases with referential integrity errors,
     Proc. ACM Workshop on Data Warehousing and OLAP (DOLAP, CIKM Conference Workshop),
     p. 49-56, 2008. [PDF]
104. Carlos Ordonez, Kai Zhao, Zhibo Chen.
     Bounding and estimating association rule support from clusters on binary data,
     Proc. IEEE Workshop on Foundations of Data Mining (FDM, ICDM Conference Workshop),
     p. 609-618, 2008. [PDF]
105. Sasi K. Pitchaimalai, Carlos Ordonez, Carlos Garcia-Alvarado.
     Efficient Distance Computation Using SQL Queries and UDFs,
     Proc. IEEE Workshop on High Performance Data Mining (HPDM, ICDM Conference Workshop),
     p. 533-542, 2008. [PDF]

2007

106. Carlos Ordonez.
     Building statistical models and scoring with UDFs,
     Proc. ACM SIGMOD Conference,
     p.1005-1016, 2007. [PDF]
107. Carlos Ordonez, Zhibo Chen, Javier Garcia-Garcia.
     Metadata management for federated databases,
     Proc. ACM Workshop on CyberInfrastructure: Information Management in eScience (CIMS, CIKM Conference Workshop),
     p. 31-38, 2007. [PDF]
108. Carlos Ordonez, Javier Garcia-Garcia, Zhibo Chen.
     Measuring referential integrity in distributed databases,
     Proc. ACM Workshop on CyberInfrastructure: Information Management in eScience (CIMS, CIKM Conference Workshop),
     p. 61-66, 2007. [PDF]

2006

109. Carlos Ordonez, Javier Garcia-Garcia.
     Consistent aggregations in databases with referential integrity errors,
     Proc. ACM Workshop on Information Quality in Information Systems (IQIS, SIGMOD Conference Workshop),
     p. 92-101, 2006. [PDF]
110. Carlos Ordonez, Javier Garcia-Garcia.
     Vector and matrix operations programmed with UDFs in a relational DBMS,
     Proc. ACM CIKM Conference,
     p. 503-512, 2006. [PDF]
111. Carlos Ordonez.
     Comparing association rules and decision trees for disease prediction,
     Proc. ACM Workshop on Healthcare Information and Knowledge Management (HIKM, CIKM Conference Workshop),
     p. 17-24, 2006. [PDF]

2005

112. Carlos Ordonez.
     Optimizing recursive queries in SQL,
     Proc. ACM SIGMOD Conference,
     p. 834-839, 2005. [PDF]
113. Carlos Ordonez.
     A model for association rules based on clustering,
     Proc. ACM Symposium on Applied Computing (SAC),
     p. 545-546, 2005. [PDF]

2004

114. Carlos Ordonez.
     Vertical and horizontal percentage aggregations,
     Proc. ACM SIGMOD Conference,
     p. 866-871, 2004. [PDF]
115. Carlos Ordonez.
     Horizontal aggregations for building tabular data sets,
     Proc. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD, SIGMOD Conference Workshop),
     p. 35-42, 2004. [PDF]
116. Carlos Ordonez.
     Programming the K-means clustering algorithm in SQL,
     Proc. ACM KDD Conference,
     p. 823-828, 2004. [PDF]
117. Carlos Ordonez.
     A Statistical Foundation for Association Rules Based on Clustering,
     Joint Statistical Meetings (JSM 2004),
     2012, abstract, not peer-reviewed

2003

118. Carlos Ordonez.
     Clustering binary data streams with K-means,
     Proc. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD, SIGMOD Conference Workshop),
     p. 12-19, 2003. [PDF]

2002

119. Carlos Ordonez, Edward Omiecinski.
     FREM: fast and robust EM clustering for large data sets,
     Proc. ACM CIKM Conference,
     p.590-599, 2002. [PDF]

2001

120. Carlos Ordonez, Edward Omiecinski, Norberto F. Ezquerra.
     A fast algorithm to cluster high dimensional basket data,
     Proc. IEEE ICDM Conference,
     p. 633-636, 2001. [PDF]
121. Carlos Ordonez, Edward Omiecinski, Levien de Braal, Cesar A. Santana, Norberto F. Ezquerra, Jose A. Taboada, C. David Cooke, Elizabeth Krawczynska, Ernest V. Garcia.
     Mining constrained association rules to predict heart disease,
     Proc. IEEE ICDM Conference,
     p. 433-440, 2001. [PDF]

2000

122. Carlos Ordonez, P. Cereghini.
     SQLEM: Fast clustering in SQL using the EM algorithm,
     Proc. ACM SIGMOD Conference,
     p.559-570, 2000. [PDF]
123. Carlos Ordonez, Cesar A. Santana, Levien de Braal.
     Discovering Interesting Association Rules in Medical Data,
     Proc. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD, SIGMOD Conference Workshop),
     p. 78-85, 2000. [PDF]
124. D. Cooke, C.A. Santana, T. Morris, L. de Braal, Carlos Ordonez, Edward Omiecinski, Norberto Ezquerra, Ernst V. Garcia.
     Validating expert system rule confidences using data mining of myocardial perfusion SPECT databases.
     Proc. IEEE Computers in Cardiology Conference (CINC),
     p.785-788, 2000. [PDF]

1999

125. Carlos Ordonez, Edward Omiecinski.
     Discovering association rules based on image content,
     Proc. IEEE Advances in Digital Libraries Conference (ADL),
     p.38-49, 1999. [PDF]