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ORCIDCarlos Ordonez 0001
Person information
- affiliation (since 2006): University of Houston, TX, USA
- affiliation (2014 - 2015): AT&T Labs - Research, New York, NY, USA
- affiliation (PhD 2000): Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (1998 - 2006): Teradata, NCR, San Diego, USA
Other persons with the same name
- Carlos Ordonez 0002 — Florida International University, University Park, Miami, FL
Other persons with a similar name
- Juan Carlos Ordóñez Calderón
- Juan Carlos Bermúdez Ordoñez — Technical University of Madrid, School of Aeronautics and Space Engineering, Spain
- Luis Carlos Ordoñez
- Juan Carlos Ordonez
- Carlos Felipe Ordoñez Urbano
- Carlos Eduardo Ordoñez Urgiles
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2020 – today
- 2024
[j52]Carlos Ordonez, Wojciech Macyna, Ladjel Bellatreche:
Data engineering and modeling for artificial intelligence. Data Knowl. Eng. 153: 102346 (2024)- [j51]Abir Farouzi, Xiantian Zhou, Ladjel Bellatreche, Mimoun Malki
, Carlos Ordonez:
Balanced parallel triangle enumeration with an adaptive algorithm. Distributed Parallel Databases 42(1): 103-141 (2024) - [c126]Carlos Ordonez, Wojciech Macyna, Ladjel Bellatreche:
Energy-Aware Analytics in the Cloud. BiDEDE@SIGMOD 2024: 3:1-3:6 - [c125]Carlos Ordonez, Robin Varghese, Nguyen Phan, Wojciech Macyna:
Growing a FLOWER: Building a Diagram Unifying Flow and ER Notation for Data Science. HILDA@SIGMOD 2024: 1-8 - 2023
- [c124]Robin Varghese, Carlos Ordonez:
Understanding Data Pre-processing with a Hybrid Diagram Integrating ER and Data Flow Notation. IEEE Big Data 2023: 2450-2455 - [c123]Ladjel Bellatreche, Fouad Djellali, Wojciech Macyna, Carlos Ordonez:
Energy-Aware Query Processing: A Case Study on Join Reordering. IEEE Big Data 2023: 3743-3752 - [c122]Robin Varghese, Carlos Ordonez:
Improving Stochastic Gradient Descent Initializing with Data Summarization. DaWaK 2023: 212-223 - [c121]Elijah Mitchell, Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez:
FLOWER: Viewing Data Flow in ER Diagrams. DaWaK 2023: 356-371 - [c120]Xiantian Zhou, Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez:
Bitwise Algorithms to Compute the Transitive Closure of Graphs in Python. DEXA (1) 2023: 345-351 - [c119]Abir Farouzi, Xiantian Zhou, Ladjel Bellatreche, Mimoun Malki, Carlos Ordonez:
Parallel Pattern Enumeration in Large Graphs. DEXA (1) 2023: 408-423 - 2022
- [j50]Soumia Benkrid, Ladjel Bellatreche, Yacine Mestoui, Carlos Ordonez:
PROADAPT: Proactive framework for adaptive partitioning for big data warehouses. Data Knowl. Eng. 142: 102102 (2022) - [j49]Ladjel Bellatreche, Carlos Ordonez, Dominique Méry, Matteo Golfarelli, El Hassan Abdelwahed:
The central role of data repositories and data models in Data Science and Advanced Analytics. Future Gener. Comput. Syst. 129: 13-17 (2022) - [j48]Sikder Tahsin Al-Amin, Carlos Ordonez:
Incremental and accurate computation of machine learning models with smart data summarization. J. Intell. Inf. Syst. 59(1): 149-172 (2022) - [c118]Carlos Ordonez:
Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries. IEEE Big Data 2022: 151-160 - [c117]Carlos Garcia-Alvarado, Carlos Ordonez:
In-DBMS K-means Clustering for Binary Streams. IEEE Big Data 2022: 1987-1996 - [c116]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 Big Data 2022: 4337-4345 - [c115]Carlos Ordonez, Ian Fund, Ladjel Bellatreche:
Comparing Association Rules and Deep Neural Networks for Heart Disease Prediction. IEEE Big Data 2022: 4416-4424 - [c114]Ayoub Bouhatous, Ladjel Bellatreche, El Hassan Abdelwahed, Carlos Ordonez:
The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses. IEEE Big Data 2022: 4463-4472 - [c113]Sikder Tahsin Al-Amin, Mohammad Imtiaz Nur, Aisha Farooque, Guoning Chen, Robin Varghese, Carlos Ordonez:
A Different VIM: Visualizing Incremental Machine Learning. CIKM 2022: 4783-4787 - [c112]Wellington Cabrera, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez:
GALGO: Scalable Graph Analytics with a Parallel DBMS. CIKM 2022: 4823-4827 - 2021
- [j47]Sikder Tahsin Al-Amin, Carlos Ordonez:
Efficient machine learning on data science languages with parallel data summarization. Data Knowl. Eng. 136: 101930 (2021) - [j46]Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez:
Special Issue on Smart Applications and Data Analysis for Smart Cyber-Physical Systems. J. Syst. Archit. 121: 102305 (2021) - [c111]Sikder Tahsin Al-Amin, Carlos Ordonez:
Fast Machine Learning in Data Science with a Comprehensive Data Summarization. IEEE BigData 2021: 2941-2948 - [c110]Xiantian Zhou, Carlos Ordonez:
Programming Languages in Data Science: a Comparison from a Database Angle. IEEE BigData 2021: 3147-3154 - [c109]Soumia Benkrid, Ladjel Bellatreche, Yacine Mestoui, Carlos Ordonez:
Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL. DaWaK 2021: 27-38 - [c108]Xiantian Zhou, Carlos Ordonez:
Efficient Graph Analytics in Python for Large-Scale Data Science. DaWaK 2021: 158-164 - [e8]Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez:
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. IEEE 2021, ISBN 978-1-6654-3902-2 [contents] - 2020
- [j45]Simon Pierre Dembele, Ladjel Bellatreche, Carlos Ordonez, Nabil Gmati, Mathieu Roche, Tri Nguyen-Huu, Laurent Debreu:
Les Grandes Étapes vers l'éco-traitement des requêtes - Thinking Smart [Big Steps Towards Query Eco-Processing - Thinking Smart]. ARIMA J. 34: 7 (2020) - [j44]Simon Pierre Dembele, Ladjel Bellatreche, Carlos Ordonez, Amine Roukh:
Think big, start small: a good initiative to design green query optimizers. Clust. Comput. 23(3): 2323-2345 (2020) - [j43]Carlos Ordonez, Ladjel Bellatreche:
Guest Editorial - DaWaK 2018 Special Issue - Trends in Big Data Analytics. Data Knowl. Eng. 126: 101730 (2020) - [j42]Carlos Ordonez, Il-Yeol Song:
Guest Editorial - DaWaK 2019 Special Issue - Evolving Big Data Analytics Towards Data Science. Data Knowl. Eng. 129: 101838 (2020) - [j41]Nabila Berkani, Ladjel Bellatreche, Selma Khouri, Carlos Ordonez:
The contribution of linked open data to augment a traditional data warehouse. J. Intell. Inf. Syst. 55(3): 397-421 (2020) - [c107]Carlos Ordonez:
A Comparison of Data Science Systems. BDA 2020: 3-11 - [c106]Sikder Tahsin Al-Amin, Siva Uday Sampreeth Chebolu, Carlos Ordonez:
Extending the R Language with a Scalable Matrix Summarization Operator. IEEE BigData 2020: 399-405 - [c105]Soumia Benkrid, Yacine Mestoui, Ladjel Bellatreche, Carlos Ordonez:
A Genetic Optimization Physical Planner for Big Data Warehouses. IEEE BigData 2020: 406-412 - [c104]Quangtri Thai, Carlos Ordonez, Omprakash Gnawali:
Monitoring Networks with Queries Evaluated by Edge Computing. IEEE BigData 2020: 2223-2231 - [c103]Simon Pierre Dembele, Ladjel Bellatreche, Carlos Ordonez:
Towards Green Query Processing - Auditing Power Before Deploying. IEEE BigData 2020: 2492-2501 - [c102]Carlos Ordonez, Sikder Tahsin Al-Amin, Xiantian Zhou:
A Simple Low Cost Parallel Architecture for Big Data Analytics. IEEE BigData 2020: 2827-2832 - [c101]Carlos Garcia-Alvarado, Carlos Ordonez:
Querying Big Source Code. IEEE BigData 2020: 5682-5684 - [c100]Carlos Ordonez, Sikder Tahsin Al-Amin, Ladjel Bellatreche:
An ER-Flow Diagram for Big Data. IEEE BigData 2020: 5795-5797 - [c99]Xiantian Zhou, Carlos Ordonez:
Matrix Multiplication with SQL Queries for Graph Analytics. IEEE BigData 2020: 5872-5873 - [c98]Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki:
PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries. CIKM 2020: 3377-3380 - [c97]Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki:
A Scalable Randomized Algorithm for Triangle Enumeration on Graphs Based on SQL Queries. DaWaK 2020: 141-156 - [c96]Sikder Tahsin Al-Amin, Carlos Ordonez:
Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization. DaWaK 2020: 269-284 - [c95]Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki:
Enumération Randomisée des Triangles dans des Graphes à Grande Echelle à base de SQL. EDA 2020: 33-46 - [c94]Carlos Ordonez, Zhibo Chen, Alfredo Cuzzocrea, Javier García-García:
An Intelligent Visual Big Data Analytics Framework for Supporting Interactive Exploration and Visualization of Big OLAP Cubes. IV 2020: 421-427 - [c93]Quangtri Thai, Carlos Ordonez, Omprakash Gnawali:
Monitoring Networks with Insightful Queries. WiNTECH 2020: 122-123 - [e7]Mohamed Hamlich, Ladjel Bellatreche, Anirban Mondal, Carlos Ordonez:
Smart Applications and Data Analysis - Third International Conference, SADASC 2020, Marrakesh, Morocco, June 25-26, 2020, Proceedings. Communications in Computer and Information Science 1207, Springer 2020, ISBN 978-3-030-45182-0 [contents]
2010 – 2019
- 2019
- [j40]Carlos Ordonez, Yiqun Zhang, S. Lennart Johnsson:
Scalable machine learning computing a data summarization matrix with a parallel array DBMS. Distributed Parallel Databases 37(3): 329-350 (2019) - [j39]Yiqun Zhang, Carlos Ordonez, Javier García-García, Ladjel Bellatreche, Humberto Carrillo:
The percentage cube. Inf. Syst. 79: 20-31 (2019) - [j38]Yiqun Zhang, Carlos Ordonez, Javier García-García, Ladjel Bellatreche, Humberto Carrillo:
Corrigendum to "The percentage cube" [Inf. Syst. 79 (2019) 20-31]. Inf. Syst. 83: 217 (2019) - [c92]Xiantian Zhou, Carlos Ordonez:
Computing Complex Graph Properties with SQL Queries. IEEE BigData 2019: 4808-4816 - [c91]Jorge Galicia, Amin Mesmoudi, Ladjel Bellatreche, Carlos Ordonez:
Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis. DEXA (2) 2019: 174-183 - [c90]Siva Uday Sampreeth Chebolu, Carlos Ordonez, Sikder Tahsin Al-Amin:
Scalable Machine Learning in the R Language Using a Summarization Matrix. DEXA (2) 2019: 247-262 - [c89]Carlos Ordonez, Ladjel Bellatreche:
Enhancing ER Diagrams to View Data Transformations Computed with Queries. DOLAP 2019 - [c88]Nabila Berkani, Ladjel Bellatreche, Selma Khouri, Carlos Ordonez:
Value-driven Approach for Designing Extended Data Warehouses. DOLAP 2019 - [c87]Dihia Lanasri, Carlos Ordonez, Ladjel Bellatreche, Selma Khouri:
ER4ML: An ER Modeling Tool to Represent Data Transformations in Data Science. ER Forum/Posters/Demos 2019: 123-127 - [e6]Carlos Ordonez, Il-Yeol Song, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil:
Big Data Analytics and Knowledge Discovery - 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019, Proceedings. Lecture Notes in Computer Science 11708, Springer 2019, ISBN 978-3-030-27519-8 [contents] - 2018
- [j37]Cyrille Ponchateau, Ladjel Bellatreche, Carlos Ordonez, Mickaël Baron:
A Mathematical Database to Process Time Series. Int. J. Data Warehous. Min. 14(3): 1-21 (2018) - [c86]Djahida Belayadi, Khaled-Walid Hidouci, Ladjel Bellatreche, Carlos Ordonez:
Cost Effective Load-Balancing Approach for Range-Partitioned Main-Memory Resident Data. DEXA (2) 2018: 239-249 - [c85]Carlos Ordonez, Predrag T. Tosic:
Time Complexity and Parallel Speedup of Relational Queries to Solve Graph Problems. DEXA (2) 2018: 339-349 - [c84]Carlos Ordonez, Ladjel Bellatreche:
A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns. DEXA Workshops 2018: 5-20 - [c83]Sikder Tahsin Al-Amin, Carlos Ordonez, Ladjel Bellatreche:
Big Data Analytics: Exploring Graphs with Optimized SQL Queries. DEXA Workshops 2018: 88-100 - [c82]Djahida Belayadi, Khaled-Walid Hidouci, Ladjel Bellatreche, Carlos Ordonez:
Équilibrage de Distribution de Données d'une Base en Mémoire Parallèle Partitionnées par Intervalle. EDA 2018: 163-178 - [c81]Nabila Berkani, Ladjel Bellatreche, Carlos Ordonez:
ETL-aware materialized view selection in semantic data stream warehouses. RCIS 2018: 1-11 - [e5]Carlos Ordonez, Ladjel Bellatreche:
Big Data Analytics and Knowledge Discovery - 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3-6, 2018, Proceedings. Lecture Notes in Computer Science 11031, Springer 2018, ISBN 978-3-319-98538-1 [contents] - [e4]El Hassan Abdelwahed, Ladjel Bellatreche, Djamal Benslimane, Matteo Golfarelli, Stéphane Jean, Dominique Méry, Kazumi Nakamatsu, Carlos Ordonez:
New Trends in Model and Data Engineering - MEDI 2018 International Workshops, DETECT, MEDI4SG, IWCFS, REMEDY, Marrakesh, Morocco, October 24-26, 2018, Proceedings. Communications in Computer and Information Science 929, Springer 2018, ISBN 978-3-030-02851-0 [contents] - [e3]El Hassan Abdelwahed, Ladjel Bellatreche, Matteo Golfarelli, Dominique Méry, Carlos Ordonez:
Model and Data Engineering - 8th International Conference, MEDI 2018, Marrakesh, Morocco, October 24-26, 2018, Proceedings. Lecture Notes in Computer Science 11163, Springer 2018, ISBN 978-3-030-00855-0 [contents] - 2017
- [j36]Wellington Cabrera, Carlos Ordonez:
Scalable parallel graph algorithms with matrix-vector multiplication evaluated with queries. Distributed Parallel Databases 35(3-4): 335-362 (2017) - [j35]Carlos Ordonez, Wellington Cabrera, Achyuth Gurram:
Comparing columnar, row and array DBMSs to process recursive queries on graphs. Inf. Syst. 63: 66-79 (2017) - [j34]Carlos Ordonez, Carlos Garcia-Alvarado, Il-Yeol Song:
Special issue on DOLAP 2015: Evolving data warehousing and OLAP cubes to big data analytics. Inf. Syst. 68: 1-2 (2017) - [j33]Fermin Ornelas, Carlos Ordonez:
Predicting Student Success: A Naïve Bayesian Application to Community College Data. Technol. Knowl. Learn. 22(3): 299-315 (2017) - [c80]Carlos Ordonez, Theodore Johnson, Simon Urbanek, Vladislav Shkapenyuk, Divesh Srivastava:
Integrating the R Language Runtime System with a Data Stream Warehouse. DEXA (2) 2017: 217-231 - [c79]Yiqun Zhang, Carlos Ordonez, S. Lennart Johnsson:
A Cloud System for Machine Learning Exploiting a Parallel Array DBMS. DEXA Workshops 2017: 22-26 - [c78]Carlos Ordonez, Theodore Johnson, Divesh Srivastava, Simon Urbanek:
A Tool for Statistical Analysis on Network Big Data. DEXA Workshops 2017: 32-36 - [c77]Yiqun Zhang, Carlos Ordonez, Javier García-García, Ladjel Bellatreche:
Optimization of Percentage Cube Queries. EDBT/ICDT Workshops 2017 - [c76]Predrag T. Tosic, Carlos Ordonez:
Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems. HoloMAS 2017: 95-110 - 2016
- [j32]David Sergio Matusevich, Wellington Cabrera, Carlos Ordonez:
Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R. Mach. Learn. 102(3): 483-504 (2016) - [j31]Carlos Ordonez, Yiqun Zhang, Wellington Cabrera:
The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics. IEEE Trans. Knowl. Data Eng. 28(7): 1905-1918 (2016) - [j30]Jian Pei, Leman Akoglu, Hongrae Lee, Justin J. Levandoski, Xuelong Li, Rosa Meo, Carlos Ordonez, Jeff M. Phillips, Barbara Poblete, K. Selçuk Candan, Meng Wang, Ji-Rong Wen, Li Xiong, Wenjie Zhang:
EIC Editorial. IEEE Trans. Knowl. Data Eng. 28(10): 2535-2537 (2016) - [j29]Sofian Maabout, Carlos Ordonez, Patrick Kamnang Wanko, Nicolas Hanusse:
Skycube Materialization Using the Topmost Skyline or Functional Dependencies. ACM Trans. Database Syst. 41(4): 25:1-25:40 (2016) - [c75]Wellington Cabrera, Carlos Ordonez:
Unified Algorithm to Solve Several Graph Problems with Relational Queries. AMW 2016 - [c74]Carlos Ordonez, Yiqun Zhang:
Time Complexity and Parallel Speedup to Compute the Gamma Summarization Matrix. AMW 2016 - [c73]Yiqun Zhang, Carlos Ordonez, Wellington Cabrera:
Big Data Analytics Integrating a Parallel Columnar DBMS and the R Language. CCGrid 2016: 627-630 - [c72]Carlos Ordonez, Javier García-García:
Managing Big Data Analytics Workflows with a Database System. CCGrid 2016: 649-655 - [c71]Amine Roukh, Ladjel Bellatreche, Carlos Ordonez:
EnerQuery: Energy-Aware Query Processing. CIKM 2016: 2465-2468 - [c70]Amine Roukh, Ladjel Bellatreche, Nikos Tziritas, Carlos Ordonez:
Energy-Aware Query Processing on a Parallel Database Cluster Node. ICA3PP 2016: 260-269 - [c69]Wellington Cabrera, Driss Benhaddou, Carlos Ordonez:
Solar Power Prediction for Smart Community Microgrid. SMARTCOMP 2016: 1-6 - 2015
- [j28]Carlos Garcia-Alvarado, Carlos Ordonez:
Clustering binary cube dimensions to compute relaxed GROUP BY aggregations. Inf. Syst. 53: 41-59 (2015) - [j27]Nicolas Hanusse, Patrick Kamnang Wanko, Sofian Maabout, Carlos Ordonez:
Dépendances fonctionnelles et requêtes skyline multidimensionnelles. Ingénierie des Systèmes d Inf. 20(5): 9-26 (2015) - [c68]Carlos Garcia-Alvarado, Carlos Ordonez, Il-Yeol Song:
DOLAP 2015 Workshop Summary. CIKM 2015: 1939-1940 - [e2]Il-Yeol Song, Carlos Garcia-Alvarado, Carlos Ordonez:
Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP, DOLAP 2015, Melbourne, VIC, Australia, October 19-23, 2015. ACM 2015, ISBN 978-1-4503-3785-4 [contents] - 2014
- [j26]Carlos Ordonez, Sofian Maabout, David Sergio Matusevich, Wellington Cabrera:
Extending ER models to capture database transformations to build data sets for data mining. Data Knowl. Eng. 89: 38-54 (2014) - [j25]Carlos Ordonez, Naveen Mohanam, Carlos Garcia-Alvarado:
PCA for large data sets with parallel data summarization. Distributed Parallel Databases 32(3): 377-403 (2014) - [j24]Amira Kerkad, Ladjel Bellatreche, Pascal Richard, Carlos Ordonez, Dominique Geniet:
A Query Beehive Algorithm for Data Warehouse Buffer Management and Query Scheduling. Int. J. Data Warehous. Min. 10(3): 34-58 (2014) - [j23]Carlos Ordonez, Carlos Garcia-Alvarado, Veerabhadran Baladandayuthapani:
Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets. ACM Trans. Knowl. Discov. Data 9(1): 3:1-3:14 (2014) - [c67]Carlos Ordonez, Achyuth Gurram, Nirmala Rai:
Recursive Query Evaluation in a Column DBMS to Analyze Large Graphs. DOLAP 2014: 71-80 - [c66]David Sergio Matusevich, Carlos Ordonez:
A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries. BigMine 2014: 61-76 - [c65]Carlos Ordonez, Yiqun Zhang, Wellington Cabrera:
The Gamma Operator for Big Data Summarization on an Array DBMS. BigMine 2014: 88-103 - [c64]Carlos Garcia-Alvarado, Carlos Ordonez:
ONTOCUBO: cube-based ontology construction and exploration. SIGMOD Conference 2014: 1083-1086 - 2013
- [j22]Javier García-García, Carlos Ordonez, Predrag T. Tosic:
Efficiently repairing and measuring replica consistency in distributed databases. Distributed Parallel Databases 31(3): 377-411 (2013) - [j21]Sanvesh Srivastava, Wenyi Wang, Ganiraju Manyam, Carlos Ordonez, Veerabhadran Baladandayuthapani:
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. EURASIP J. Bioinform. Syst. Biol. 2013: 9 (2013) - [j20]Carlos Ordonez, Zhibo Chen:
Discovering frequent pattern pairs. Intell. Data Anal. 17(6): 943-963 (2013) - [c63]Wellington Cabrera, Carlos Ordonez, David Sergio Matusevich, Veerabhadran Baladandayuthapani:
Bayesian variable selection for linear regression in high dimensional microarray data. DTMBIO 2013: 17-18 - [c62]David Sergio Matusevich, Carlos Ordonez, Veerabhadran Baladandayuthapani:
A fast convergence clustering algorithm merging MCMC and EM methods. CIKM 2013: 1525-1528 - [c61]Carlos Garcia-Alvarado, Carlos Ordonez:
Clustering cubes with binary dimensions in one pass. DOLAP 2013: 71-78 - [c60]Zhibo Chen, Carlos Ordonez:
Optimizing OLAP cube processing on solid state drives. DOLAP 2013: 79-84 - [c59]Carlos Ordonez:
Can we analyze big data inside a DBMS? DOLAP 2013: 85-92 - [c58]Stéphane Jean, Ladjel Bellatreche, Carlos Ordonez, Géraud Fokou, Mickaël Baron:
OntoDBench: Interactively Benchmarking Ontology Storage in a Database. ER 2013: 499-503 - [c57]Carlos Ordonez, Javier García-García, Carlos Garcia-Alvarado, Wellington Cabrera, Veerabhadran Baladandayuthapani, Mohammed S. Quraishi:
Data mining algorithms as a service in the cloud exploiting relational database systems. SIGMOD Conference 2013: 1001-1004 - 2012
- [j19]Carlos Ordonez, Il-Yeol Song:
Special Issue of DOLAP 2010 Information Systems. Inf. Syst. 37(5): 391-392 (2012) - [j18]Carlos Ordonez, Zhibo Chen:
Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis. IEEE Trans. Knowl. Data Eng. 24(4): 678-691 (2012) - [c56]Predrag T. Tosic, Carlos Ordonez:
Distributed Protocols for Multi-Agent Coalition Formation: A Negotiation Perspective. AMT 2012: 93-102 - [c55]Carlos Garcia-Alvarado, Carlos Ordonez, Veerabhadran Baladandayuthapani:
Querying external source code files of programs connecting to a relational database. PIKM 2012: 9-16 - [c54]Carlos Ordonez, Naveen Mohanam, Carlos Garcia-Alvarado, Predrag T. Tosic, Edgar Martinez:
Fast PCA computation in a DBMS with aggregate UDFs and LAPACK. CIKM 2012: 2219-2223 - [c53]Carlos Garcia-Alvarado, Carlos Ordonez:
Query processing on cubes mapped from ontologies to dimension hierarchies. DOLAP 2012: 57-64 - [c52]Carlos Ordonez:
Integrating Database Systems and Data Mining Algorithms. EDA 2012: 1 - [c51]Predrag T. Tosic, Philip Dasler, Carlos Ordonez:
On Finding and Learning Effective Strategies for Complex Non-zero-sum Repeated Games. IAT 2012: 395-400 - [c50]Carlos Garcia-Alvarado, Carlos Ordonez:
Integrating and querying source code of programs working on a database. KEYS 2012: 47-53 - [c49]Carlos Ordonez, Javier García-García, Zhibo Chen:
Dynamic optimization of generalized SQL queries with horizontal aggregations. SIGMOD Conference 2012: 637-640 - 2011
- [j17]Carlos Ordonez, Kai Zhao:
Evaluating association rules and decision trees to predict multiple target attributes. Intell. Data Anal. 15(2): 173-192 (2011) - [j16]Carlos Ordonez:
Data set preprocessing and transformation in a database system. Intell. Data Anal. 15(4): 613-631 (2011) - [j15]Carlos Ordonez, Mario Navas, Carlos Garcia-Alvarado:
Parallel Multithreaded Processing for Data Set Summarization on Multicore CPUs. J. Comput. Sci. Eng. 5(2): 111-120 (2011) - [c48]Carlos Garcia-Alvarado, Carlos Ordonez:
Integrating and querying web databases and documents. CIKM 2011: 2369-2372 - [c47]Carlos Garcia-Alvarado, Zhibo Chen, Carlos Ordonez:
ONTOCUBE: efficient ontology extraction using OLAP cubes. CIKM 2011: 2429-2432 - [c46]Carlos Ordonez, Carlos Garcia-Alvarado:
A data mining system based on SQL queries and UDFs for relational databases. CIKM 2011: 2521-2524 - [c45]Carlos Ordonez, Zhibo Chen, Javier García-García:
Interactive exploration and visualization of OLAP cubes. DOLAP 2011: 83-88 - [c44]Carlos Ordonez, Sasi K. Pitchaimalai:
One-pass data mining algorithms in a DBMS with UDFs. SIGMOD Conference 2011: 1217-1220 - 2010
- [j14]Javier García-García, Carlos Ordonez:
Extended aggregations for databases with referential integrity issues. Data Knowl. Eng. 69(1): 73-95 (2010) - [j13]Carlos Ordonez, Sasi K. Pitchaimalai:
Fast UDFs to compute sufficient statistics on large data sets exploiting caching and sampling. Data Knowl. Eng. 69(4): 383-398 (2010) - [j12]Carlos Ordonez, Javier García-García:
Evaluating Join Performance on Relational Database Systems. J. Comput. Sci. Eng. 4(4): 276-290 (2010) - [j11]Carlos Ordonez, Sasi K. Pitchaimalai:
Bayesian Classifiers Programmed in SQL. IEEE Trans. Knowl. Data Eng. 22(1): 139-144 (2010) - [j10]Carlos Ordonez:
Optimization of Linear Recursive Queries in SQL. IEEE Trans. Knowl. Data Eng. 22(2): 264-277 (2010) - [j9]Carlos Ordonez:
Statistical Model Computation with UDFs. IEEE Trans. Knowl. Data Eng. 22(12): 1752-1765 (2010) - [c43]Sasi K. Pitchaimalai, Carlos Ordonez, Carlos Garcia-Alvarado:
Comparing SQL and MapReduce to compute Naive Bayes in a single table scan. CloudDB@CIKM 2010: 9-16 - [c42]Walter Garcia, Carlos Ordonez, Kai Zhao, Ping Chen:
Efficient algorithms based on relational queries to mine frequent graphs. PIKM 2010: 17-24 - [c41]Carlos Garcia-Alvarado, Zhibo Chen, Carlos Ordonez:
OLAP-based query recommendation. CIKM 2010: 1353-1356 - [c40]Carlos Ordonez, Il-Yeol Song:
DOLAP 2010 workshop summary. CIKM 2010: 1973-1974 - [c39]Javier García-García, Carlos Ordonez:
Repairing OLAP queries in databases with referential integrity errors. DOLAP 2010: 61-66 - [c38]Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvarado:
Relational versus non-relational database systems for data warehousing. DOLAP 2010: 67-68 - [c37]Mario Navas, Carlos Ordonez, Veerabhadran Baladandayuthapani:
On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs. ICDM 2010: 941-946 - [c36]Zhibo Chen, Carlos Garcia-Alvarado, Carlos Ordonez:
Enhancing Document Exploration with OLAP. ICDM Workshops 2010: 1407-1410 - [c35]Carlos Garcia-Alvarado, Carlos Ordonez:
Keyword search across databases and documents. KEYS 2010: 2 - [c34]Carlos Garcia-Alvarado, Carlos Ordonez, Zhibo Chen:
Query recommendation in digital libraries using OLAP. KEYS 2010: 6 - [c33]Carlos Ordonez, Javier García-García:
Database systems research on data mining. SIGMOD Conference 2010: 1253-1254 - [e1]Il-Yeol Song, Carlos Ordonez:
DOLAP 2010, ACM 13th International Workshop on Data Warehousing and OLAP, Toronto, Ontario, Canada, October 30, 2010, Proceedings. ACM 2010, ISBN 978-1-4503-0383-5 [contents]
2000 – 2009
- 2009
- [j8]Carlos Ordonez:
Models for association rules based on clustering and correlation. Intell. Data Anal. 13(2): 337-358 (2009) - [j7]Carlos Ordonez, Zhibo Chen:
Evaluating Statistical Tests on OLAP Cubes to Compare Degree of Disease. IEEE Trans. Inf. Technol. Biomed. 13(5): 756-765 (2009) - [c32]Carlos Garcia-Alvarado, Zhibo Chen, Carlos Ordonez:
OLAP with UDFs in digital libraries. CIKM 2009: 2073-2074 - [c31]Javier García-García, Carlos Ordonez:
Consistency-aware evaluation of OLAP queries in replicated data warehouses. DOLAP 2009: 73-80 - [c30]Mario Navas, Carlos Ordonez:
Efficient computation of PCA with SVD in SQL. KDD Workshop on Data Mining using Matrices and Tensors 2009 - [c29]Carlos Ordonez, Zhibo Chen:
Exploration and visualization of OLAP cubes with statistical tests. KDD Workshop on Visual Analytics and Knowledge Discovery 2009: 46-55 - [c28]Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Ordonez:
Regional Pattern Discovery in Geo-referenced Datasets Using PCA. MLDM 2009: 719-733 - [c27]Carlos Garcia-Alvarado, Carlos Ordonez, Zhibo Chen:
DBDOC: querying and browsing databases and interrelated documents. KEYS 2009: 47-48 - [c26]Zhibo Chen, Carlos Ordonez, Carlos Garcia-Alvarado:
Fast and dynamic OLAP exploration using UDFs. SIGMOD Conference 2009: 1087-1090 - [c25]Carlos Ordonez, Javier García-García, Rogelio Montero-Campos, Carlos Garcia-Alvarado:
A Referential Integrity Browser for Distributed Databases. WebDB 2009 - 2008
- [j6]Carlos Ordonez, Javier García-García:
Referential integrity quality metrics. Decis. Support Syst. 44(2): 495-508 (2008) - [c24]Waree Rinsurongkawong, Carlos Ordonez:
Microarray data analysis with pca in a dbms. DTMBIO 2008: 13-20 - [c23]Zhibo Chen, Carlos Ordonez:
Efficient OLAP with UDFs. DOLAP 2008: 41-48 - [c22]Javier García-García, Carlos Ordonez:
Estimating and bounding aggregations in databases with referential integrity errors. DOLAP 2008: 49-56 - [c21]Zhibo Chen, Carlos Ordonez, Kai Zhao:
Comparing Reliability of Association Rules and OLAP Statistical Tests. ICDM Workshops 2008: 8-17 - [c20]Sasi K. Pitchaimalai, Carlos Ordonez, Carlos Garcia-Alvarado:
Efficient Distance Computation Using SQL Queries and UDFs. ICDM Workshops 2008: 533-542 - [c19]Carlos Ordonez, Kai Zhao, Zhibo Chen:
Bounding and Estimating Association Rule Support from Clusters on Binary Data. ICDM Workshops 2008: 609-618 - [c18]Carlos Garcia-Alvarado, Carlos Ordonez:
Information retrieval from digital libraries in SQL. WIDM 2008: 55-62 - 2007
- [c17]Carlos Ordonez, Zhibo Chen, Javier García-García:
Metadata management for federated databases. CIMS 2007: 31-38 - [c16]Carlos Ordonez, Javier García-García, Zhibo Chen:
Measuring referential integrity in distributed databases. CIMS 2007: 61-66 - [c15]Carlos Ordonez:
Building statistical models and scoring with UDFs. SIGMOD Conference 2007: 1005-1016 - 2006
- [j5]Carlos Ordonez, Norberto F. Ezquerra, Cesar A. Santana:
Constraining and summarizing association rules in medical data. Knowl. Inf. Syst. 9(3): 1-2 (2006) - [j4]Carlos Ordonez:
Association Rule Discovery With the Train and Test Approach for Heart Disease Prediction. IEEE Trans. Inf. Technol. Biomed. 10(2): 334-343 (2006) - [j3]Carlos Ordonez:
Integrating K-Means Clustering with a Relational DBMS Using SQL. IEEE Trans. Knowl. Data Eng. 18(2): 188-201 (2006) - [c14]Carlos Ordonez, Javier García-García:
Vector and matrix operations programmed with UDFs in a relational DBMS. CIKM 2006: 503-512 - [c13]Carlos Ordonez:
Comparing association rules and decision trees for disease prediction. HIKM 2006: 17-24 - 2005
- [j2]Carlos Ordonez, Edward Omiecinski:
Accelerating EM clustering to find high-quality solutions. Knowl. Inf. Syst. 7(2): 135-157 (2005) - [c12]Carlos Ordonez:
A model for association rules based on clustering. SAC 2005: 545-546 - [c11]Carlos Ordonez:
Optimizing recursive queries in SQL. SIGMOD Conference 2005: 834-839 - 2004
- [j1]Carlos Ordonez, Edward Omiecinski:
Efficient Disk-Based K-Means Clustering for Relational Databases. IEEE Trans. Knowl. Data Eng. 16(8): 909-921 (2004) - [c10]Carlos Ordonez:
Horizontal aggregations for building tabular data sets. DMKD 2004: 35-42 - [c9]Carlos Ordonez:
Programming the K-means clustering algorithm in SQL. KDD 2004: 823-828 - [c8]Carlos Ordonez:
Vertical and Horizontal Percentage Aggregations. SIGMOD Conference 2004: 866-871 - 2003
- [c7]Carlos Ordonez:
Clustering binary data streams with K-means. DMKD 2003: 12-19 - 2002
- [c6]Carlos Ordonez, Edward Omiecinski:
FREM: fast and robust EM clustering for large data sets. CIKM 2002: 590-599 - 2001
- [c5]Carlos Ordonez, Edward Omiecinski, Levien de Braal, Cesar A. Santana, Norberto F. Ezquerra, José A. Taboada, C. David Cooke, Elizabeth Krawczynska, Ernest V. Garcia:
Mining Constrained Association Rules to Predict Heart Disease. ICDM 2001: 433-440 - [c4]Carlos Ordonez, Edward Omiecinski, Norberto F. Ezquerra:
A Fast Algorithm to Cluster High Dimensional Basket Data. ICDM 2001: 633-636 - 2000
- [c3]Carlos Ordonez, Cesar A. Santana, Levien de Braal:
Discovering Interesting Association Rules in Medical Data. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 78-85 - [c2]Carlos Ordonez, Paul Cereghini:
SQLEM: Fast Clustering in SQL using the EM Algorithm. SIGMOD Conference 2000: 559-570
1990 – 1999
- 1999
- [c1]Carlos Ordonez, Edward Omiecinski:
Discovering Association Rules Based on Image Content. ADL 1999: 38-49
Coauthor Index
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