Carlos Ordonez

Affiliations:
  • University of Houston, TX, USA (since 2006)
  • AT&T Labs - Research, New York, NY, USA (2014 - 2015)
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2000)
  • Teradata, NCR, San Diego, USA (1998 - 2006)


According to our database1, Carlos Ordonez authored at least 175 papers between 1999 and 2024.

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Bibliography

2024
Balanced parallel triangle enumeration with an adaptive algorithm.
Distributed Parallel Databases, March, 2024

2023
Bitwise Algorithms to Compute the Transitive Closure of Graphs in Python.
Proceedings of the Database and Expert Systems Applications, 2023

Parallel Pattern Enumeration in Large Graphs.
Proceedings of the Database and Expert Systems Applications, 2023

Improving Stochastic Gradient Descent Initializing with Data Summarization.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

FLOWER: Viewing Data Flow in ER Diagrams.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Understanding Data Pre-processing with a Hybrid Diagram Integrating ER and Data Flow Notation.
Proceedings of the IEEE International Conference on Big Data, 2023

Energy-Aware Query Processing: A Case Study on Join Reordering.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Incremental and accurate computation of machine learning models with smart data summarization.
J. Intell. Inf. Syst., 2022

The central role of data repositories and data models in Data Science and Advanced Analytics.
Future Gener. Comput. Syst., 2022

PROADAPT: Proactive framework for adaptive partitioning for big data warehouses.
Data Knowl. Eng., 2022

GALGO: Scalable Graph Analytics with a Parallel DBMS.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Different VIM: Visualizing Incremental Machine Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Comparing Association Rules and Deep Neural Networks for Heart Disease Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries.
Proceedings of the IEEE International Conference on Big Data, 2022

In-DBMS K-means Clustering for Binary Streams.
Proceedings of the IEEE International Conference on Big Data, 2022

The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses.
Proceedings of the IEEE International Conference on Big Data, 2022

Discovering Similar Spike Patterns in High Dimensional Biomedical Signals.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Special Issue on Smart Applications and Data Analysis for Smart Cyber-Physical Systems.
J. Syst. Archit., 2021

Efficient machine learning on data science languages with parallel data summarization.
Data Knowl. Eng., 2021

Efficient Graph Analytics in Python for Large-Scale Data Science.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

Programming Languages in Data Science: a Comparison from a Database Angle.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Fast Machine Learning in Data Science with a Comprehensive Data Summarization.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
The contribution of linked open data to augment a traditional data warehouse.
J. Intell. Inf. Syst., 2020

Guest Editorial - DaWaK 2018 Special Issue - Trends in Big Data Analytics.
Data Knowl. Eng., 2020

Guest Editorial - DaWaK 2019 Special Issue - Evolving Big Data Analytics Towards Data Science.
Data Knowl. Eng., 2020

Think big, start small: a good initiative to design green query optimizers.
Clust. Comput., 2020

Les Grandes Étapes vers l'éco-traitement des requêtes - Thinking Smart [Big Steps Towards Query Eco-Processing - Thinking Smart].
ARIMA J., 2020

Monitoring Networks with Insightful Queries.
Proceedings of the WiNTECH@MobiCom 2020: Proceedings of the 14th International Workshop on Wireless Network Testbeds, 2020

An Intelligent Visual Big Data Analytics Framework for Supporting Interactive Exploration and Visualization of Big OLAP Cubes.
Proceedings of the 24th International Conference on Information Visualisation, 2020

Enumération Randomisée des Triangles dans des Graphes à Grande Echelle à base de SQL.
Proceedings of the Business Intelligence & Big Data, 2020

A Scalable Randomized Algorithm for Triangle Enumeration on Graphs Based on SQL Queries.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Matrix Multiplication with SQL Queries for Graph Analytics.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Monitoring Networks with Queries Evaluated by Edge Computing.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Querying Big Source Code.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Towards Green Query Processing - Auditing Power Before Deploying.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Genetic Optimization Physical Planner for Big Data Warehouses.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Extending the R Language with a Scalable Matrix Summarization Operator.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Simple Low Cost Parallel Architecture for Big Data Analytics.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

An ER-Flow Diagram for Big Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Comparison of Data Science Systems.
Proceedings of the Big Data Analytics - 8th International Conference, 2020

2019
Corrigendum to "The percentage cube" [Inf. Syst. 79 (2019) 20-31].
Inf. Syst., 2019

The percentage cube.
Inf. Syst., 2019

Scalable machine learning computing a data summarization matrix with a parallel array DBMS.
Distributed Parallel Databases, 2019

ER4ML: An ER Modeling Tool to Represent Data Transformations in Data Science.
Proceedings of the ER Forum and Poster & Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), 2019

Value-driven Approach for Designing Extended Data Warehouses.
Proceedings of the 21st International Workshop on Design, 2019

Enhancing ER Diagrams to View Data Transformations Computed with Queries.
Proceedings of the 21st International Workshop on Design, 2019

Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis.
Proceedings of the Database and Expert Systems Applications, 2019

Scalable Machine Learning in the R Language Using a Summarization Matrix.
Proceedings of the Database and Expert Systems Applications, 2019

Computing Complex Graph Properties with SQL Queries.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A Mathematical Database to Process Time Series.
Int. J. Data Warehous. Min., 2018

ETL-aware materialized view selection in semantic data stream warehouses.
Proceedings of the 12th International Conference on Research Challenges in Information Science, 2018

Équilibrage de Distribution de Données d'une Base en Mémoire Parallèle Partitionnées par Intervalle.
Proceedings of the Business Intelligence & Big Data, 2018

Big Data Analytics: Exploring Graphs with Optimized SQL Queries.
Proceedings of the Database and Expert Systems Applications, 2018

A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns.
Proceedings of the Database and Expert Systems Applications, 2018

Cost Effective Load-Balancing Approach for Range-Partitioned Main-Memory Resident Data.
Proceedings of the Database and Expert Systems Applications, 2018

Time Complexity and Parallel Speedup of Relational Queries to Solve Graph Problems.
Proceedings of the Database and Expert Systems Applications, 2018

2017
Predicting Student Success: A Naïve Bayesian Application to Community College Data.
Technol. Knowl. Learn., 2017

Special issue on DOLAP 2015: Evolving data warehousing and OLAP cubes to big data analytics.
Inf. Syst., 2017

Comparing columnar, row and array DBMSs to process recursive queries on graphs.
Inf. Syst., 2017

Scalable parallel graph algorithms with matrix-vector multiplication evaluated with queries.
Distributed Parallel Databases, 2017

Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems.
Proceedings of the Industrial Applications of Holonic and Multi-Agent Systems, 2017

Optimization of Percentage Cube Queries.
Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017

A Tool for Statistical Analysis on Network Big Data.
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

A Cloud System for Machine Learning Exploiting a Parallel Array DBMS.
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

Integrating the R Language Runtime System with a Data Stream Warehouse.
Proceedings of the Database and Expert Systems Applications, 2017

2016
Skycube Materialization Using the Topmost Skyline or Functional Dependencies.
ACM Trans. Database Syst., 2016

EIC Editorial.
IEEE Trans. Knowl. Data Eng., 2016

The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics.
IEEE Trans. Knowl. Data Eng., 2016

Accelerating a Gibbs sampler for variable selection on genomics data with summarization and variable pre-selection combining an array DBMS and R.
Mach. Learn., 2016

Solar Power Prediction for Smart Community Microgrid.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

Energy-Aware Query Processing on a Parallel Database Cluster Node.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

EnerQuery: Energy-Aware Query Processing.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Managing Big Data Analytics Workflows with a Database System.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Big Data Analytics Integrating a Parallel Columnar DBMS and the R Language.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Time Complexity and Parallel Speedup to Compute the Gamma Summarization Matrix.
Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, 2016

Unified Algorithm to Solve Several Graph Problems with Relational Queries.
Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, 2016

2015
Dépendances fonctionnelles et requêtes skyline multidimensionnelles.
Ingénierie des Systèmes d Inf., 2015

Clustering binary cube dimensions to compute relaxed GROUP BY aggregations.
Inf. Syst., 2015

DOLAP 2015 Workshop Summary.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets.
ACM Trans. Knowl. Discov. Data, 2014

A Query Beehive Algorithm for Data Warehouse Buffer Management and Query Scheduling.
Int. J. Data Warehous. Min., 2014

PCA for large data sets with parallel data summarization.
Distributed Parallel Databases, 2014

Extending ER models to capture database transformations to build data sets for data mining.
Data Knowl. Eng., 2014

ONTOCUBO: cube-based ontology construction and exploration.
Proceedings of the International Conference on Management of Data, 2014

The Gamma Operator for Big Data Summarization on an Array DBMS.
Proceedings of the 3rd International Workshop on Big Data, 2014

A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries.
Proceedings of the 3rd International Workshop on Big Data, 2014

Recursive Query Evaluation in a Column DBMS to Analyze Large Graphs.
Proceedings of the 17th International Workshop on Data Warehousing and OLAP, 2014

2013
Discovering frequent pattern pairs.
Intell. Data Anal., 2013

Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines.
EURASIP J. Bioinform. Syst. Biol., 2013

Efficiently repairing and measuring replica consistency in distributed databases.
Distributed Parallel Databases, 2013

Data mining algorithms as a service in the cloud exploiting relational database systems.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

OntoDBench: Interactively Benchmarking Ontology Storage in a Database.
Proceedings of the Conceptual Modeling - 32th International Conference, 2013

Can we analyze big data inside a DBMS?
Proceedings of the sixteenth international workshop on Data warehousing and OLAP, 2013

Clustering cubes with binary dimensions in one pass.
Proceedings of the sixteenth international workshop on Data warehousing and OLAP, 2013

Optimizing OLAP cube processing on solid state drives.
Proceedings of the sixteenth international workshop on Data warehousing and OLAP, 2013

A fast convergence clustering algorithm merging MCMC and EM methods.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Bayesian variable selection for linear regression in high dimensional microarray data.
Proceedings of the Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, 2013

2012
Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis.
IEEE Trans. Knowl. Data Eng., 2012

Special Issue of DOLAP 2010 Information Systems.
Inf. Syst., 2012

Dynamic optimization of generalized SQL queries with horizontal aggregations.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Integrating and querying source code of programs working on a database.
Proceedings of the Third International Workshop on Keyword Search on Structured Data, 2012

On Finding and Learning Effective Strategies for Complex Non-zero-sum Repeated Games.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Integrating Database Systems and Data Mining Algorithms.
Proceedings of the Actes des 8èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, 2012

Query processing on cubes mapped from ontologies to dimension hierarchies.
Proceedings of the DOLAP 2012, 2012

Fast PCA computation in a DBMS with aggregate UDFs and LAPACK.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Querying external source code files of programs connecting to a relational database.
Proceedings of the 5th Ph.D. Workshop on Information and Knowledge Management, 2012

Distributed Protocols for Multi-Agent Coalition Formation: A Negotiation Perspective.
Proceedings of the Active Media Technology - 8th International Conference, 2012

2011
Parallel Multithreaded Processing for Data Set Summarization on Multicore CPUs.
J. Comput. Sci. Eng., 2011

Evaluating association rules and decision trees to predict multiple target attributes.
Intell. Data Anal., 2011

Data set preprocessing and transformation in a database system.
Intell. Data Anal., 2011

One-pass data mining algorithms in a DBMS with UDFs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Interactive exploration and visualization of OLAP cubes.
Proceedings of the DOLAP 2011, 2011

A data mining system based on SQL queries and UDFs for relational databases.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Integrating and querying web databases and documents.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

ONTOCUBE: efficient ontology extraction using OLAP cubes.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Bayesian Classifiers Programmed in SQL.
IEEE Trans. Knowl. Data Eng., 2010

Statistical Model Computation with UDFs.
IEEE Trans. Knowl. Data Eng., 2010

Optimization of Linear Recursive Queries in SQL.
IEEE Trans. Knowl. Data Eng., 2010

Evaluating Join Performance on Relational Database Systems.
J. Comput. Sci. Eng., 2010

Fast UDFs to compute sufficient statistics on large data sets exploiting caching and sampling.
Data Knowl. Eng., 2010

Extended aggregations for databases with referential integrity issues.
Data Knowl. Eng., 2010

Database systems research on data mining.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Query recommendation in digital libraries using OLAP.
Proceedings of the Second International Workshop on Keyword Search on Structured Data, 2010

Keyword search across databases and documents.
Proceedings of the Second International Workshop on Keyword Search on Structured Data, 2010

On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs.
Proceedings of the ICDM 2010, 2010

Enhancing Document Exploration with OLAP.
Proceedings of the ICDMW 2010, 2010

Relational versus non-relational database systems for data warehousing.
Proceedings of the DOLAP 2010, 2010

Repairing OLAP queries in databases with referential integrity errors.
Proceedings of the DOLAP 2010, 2010

Comparing SQL and MapReduce to compute Naive Bayes in a single table scan.
Proceedings of the Second International CIKM Workshop on Cloud Data Management, 2010

DOLAP 2010 workshop summary.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Efficient algorithms based on relational queries to mine frequent graphs.
Proceedings of the Third Ph.D. Workshop on Information and Knowledge Management, 2010

OLAP-based query recommendation.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Evaluating Statistical Tests on OLAP Cubes to Compare Degree of Disease.
IEEE Trans. Inf. Technol. Biomed., 2009

Models for association rules based on clustering and correlation.
Intell. Data Anal., 2009

A Referential Integrity Browser for Distributed Databases.
Proceedings of the 12th International Workshop on the Web and Databases, 2009

DBDOC: querying and browsing databases and interrelated documents.
Proceedings of the First International Workshop on Keyword Search on Structured Data, 2009

Fast and dynamic OLAP exploration using UDFs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Regional Pattern Discovery in Geo-referenced Datasets Using PCA.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Exploration and visualization of OLAP cubes with statistical tests.
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, 2009

Efficient computation of PCA with SVD in SQL.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, 2009

Consistency-aware evaluation of OLAP queries in replicated data warehouses.
Proceedings of the DOLAP 2009, 2009

OLAP with UDFs in digital libraries.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Referential integrity quality metrics.
Decis. Support Syst., 2008

Information retrieval from digital libraries in SQL.
Proceedings of the 10th ACM International Workshop on Web Information and Data Management (WIDM 2008), 2008

Efficient Distance Computation Using SQL Queries and UDFs.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Bounding and Estimating Association Rule Support from Clusters on Binary Data.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Comparing Reliability of Association Rules and OLAP Statistical Tests.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Estimating and bounding aggregations in databases with referential integrity errors.
Proceedings of the DOLAP 2008, 2008

Efficient OLAP with UDFs.
Proceedings of the DOLAP 2008, 2008

Microarray data analysis with pca in a dbms.
Proceedings of the Proceeding of the 2nd International Workshop on Data and Text Mining in Bioinformatics, 2008

2007
Building statistical models and scoring with UDFs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Measuring referential integrity in distributed databases.
Proceedings of the First Workshop on CyberInfrastructure: Information Management in eScience, 2007

Metadata management for federated databases.
Proceedings of the First Workshop on CyberInfrastructure: Information Management in eScience, 2007

2006
Integrating K-Means Clustering with a Relational DBMS Using SQL.
IEEE Trans. Knowl. Data Eng., 2006

Association Rule Discovery With the Train and Test Approach for Heart Disease Prediction.
IEEE Trans. Inf. Technol. Biomed., 2006

Constraining and summarizing association rules in medical data.
Knowl. Inf. Syst., 2006

Comparing association rules and decision trees for disease prediction.
Proceedings of the International Workshop on Healthcare Information and Knowledge Management, 2006

Vector and matrix operations programmed with UDFs in a relational DBMS.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Accelerating EM clustering to find high-quality solutions.
Knowl. Inf. Syst., 2005

Optimizing recursive queries in SQL.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

A model for association rules based on clustering.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004
Efficient Disk-Based K-Means Clustering for Relational Databases.
IEEE Trans. Knowl. Data Eng., 2004

Vertical and Horizontal Percentage Aggregations.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Programming the K-means clustering algorithm in SQL.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Horizontal aggregations for building tabular data sets.
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004

2003
Clustering binary data streams with K-means.
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003

2002
FREM: fast and robust EM clustering for large data sets.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
A Fast Algorithm to Cluster High Dimensional Basket Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Mining Constrained Association Rules to Predict Heart Disease.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

2000
SQLEM: Fast Clustering in SQL using the EM Algorithm.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Discovering Interesting Association Rules in Medical Data.
Proceedings of the 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2000

1999
Discovering Association Rules Based on Image Content.
Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, 1999


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