Carlos Ordonez

发表

Unified Algorithm to Solve Several Graph Problems with Relational Queries

Wellington Cabrera, Carlos Ordonez, 2016, AMW.

Carlos Ordonez, C. Ordonez, 2006 .

Solar Power Prediction for Smart Community Microgrid

Wellington Cabrera, Carlos Ordonez, Driss Benhaddou, 2016, 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

ETL-aware materialized view selection in semantic data stream warehouses

Carlos Ordonez, Ladjel Bellatreche, Nabila Berkani, 2018, 2018 12th International Conference on Research Challenges in Information Science (RCIS).

Special Issue of DOLAP 2010 Information Systems

Carlos Ordonez, Il-Yeol Song, 2012, Inf. Syst..

Time Complexity and Parallel Speedup to Compute the Gamma Summarization Matrix

Carlos Ordonez, Yiqun Zhang, 2016, AMW.

A fast convergence clustering algorithm merging MCMC and EM methods

Carlos Ordonez, Veerabhadran Baladandayuthapani, David Sergio Matusevich, 2013, CIKM.

Efficient algorithms based on relational queries to mine frequent graphs

Kai Zhao, Carlos Ordonez, Ping Chen, 2010, PIKM '10.

Efficient OLAP with UDFs

Carlos Ordonez, Zhibo Chen, 2008, DOLAP '08.

OntoDBench: Interactively Benchmarking Ontology Storage in a Database

Mickaël Baron, Carlos Ordonez, Ladjel Bellatreche, 2013, ER.

Mining constrained association rules to predict heart disease

Norberto F. Ezquerra, Carlos Ordonez, Edward Omiecinski, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

A Mathematical Database to Process Time Series

Mickaël Baron, Carlos Ordonez, Ladjel Bellatreche, 2018, Int. J. Data Warehous. Min..

Comprehensive Plan 2020 La Grange, Texas

David Ellis, Carlos Ordonez, David Pugh, 1998 .

Validating expert system rule confidences using data mining of myocardial perfusion SPECT databases

Norberto F. Ezquerra, Carlos Ordonez, Edward Omiecinski, 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics

Wellington Cabrera, Carlos Ordonez, Yiqun Zhang, 2016, IEEE Transactions on Knowledge and Data Engineering.

Vertical and horizontal percentage aggregations

Carlos Ordonez, 2004, SIGMOD '04.

Discovering association rules based on image content

Carlos Ordonez, Edward Omiecinski, C. Ordonez, 1999, Proceedings IEEE Forum on Research and Technology Advances in Digital Libraries.

New Trends in Model and Data Engineering

Dominique Méry, Matteo Golfarelli, Carlos Ordonez, 2018, Communications in Computer and Information Science.

Distributed Protocols for Multi-Agent Coalition Formation: A Negotiation Perspective

Carlos Ordonez, Predrag T. Tosic, C. Ordonez, 2012, AMT.

Comparing Reliability of Association Rules and OLAP Statistical Tests

Kai Zhao, Carlos Ordonez, Zhibo Chen, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Bayesian Classifiers Programmed in SQL

Carlos Ordonez, Sasi K. Pitchaimalai, C. Ordonez, 2010, IEEE Transactions on Knowledge and Data Engineering.

Guest Editorial - DaWaK 2018 Special Issue - Trends in Big Data Analytics

Carlos Ordonez, Ladjel Bellatreche, 2020, Data Knowl. Eng..

Evaluating Statistical Tests on OLAP Cubes to Compare Degree of Disease

Carlos Ordonez, Zhibo Chen, C. Ordonez, 2009, IEEE Transactions on Information Technology in Biomedicine.

Predicting Student Success: A Naïve Bayesian Application to Community College Data

Carlos Ordonez, Fermin Ornelas, C. Ordonez, 2017, Technol. Knowl. Learn..

On Finding and Learning Effective Strategies for Complex Non-zero-sum Repeated Games

Carlos Ordonez, Predrag T. Tosic, Philip Dasler, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Extending ER models to capture database transformations to build data sets for data mining

Wellington Cabrera, Carlos Ordonez, Sofian Maabout, 2014, Data Knowl. Eng..

Microarray data analysis with PCA in a DBMS

Carlos Ordonez, Waree Rinsurongkawong, C. Ordonez, 2008, DTMBIO '08.

DOLAP 2010 workshop summary

Carlos Ordonez, Il-Yeol Song, 2010, CIKM '10.

A model for association rules based on clustering

Carlos Ordonez, 2005, SAC '05.

Dépendances fonctionnelles et requêtes skyline multidimensionnelles

Carlos Ordonez, Nicolas Hanusse, Sofian Maabout, 2015, Ingénierie des Systèmes d Inf..

Enhancing ER Diagrams to View Data Transformations Computed with Queries

Carlos Ordonez, Ladjel Bellatreche, C. Ordonez, 2019, DOLAP.

Scalable parallel graph algorithms with matrix–vector multiplication evaluated with queries

Wellington Cabrera, Carlos Ordonez, C. Ordonez, 2017, Distributed and Parallel Databases.

Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets

Carlos Ordonez, Carlos Garcia-Alvarado, Veerabhadran Baladandayuthapani, 2014, TKDD.

Optimizing OLAP cube processing on solid state drives

Carlos Ordonez, Zhibo Chen, 2013, DOLAP '13.

Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis

Carlos Ordonez, Zhibo Chen, C. Ordonez, 2012, IEEE Transactions on Knowledge and Data Engineering.

Constraining and summarizing association rules in medical data

Norberto F. Ezquerra, Carlos Ordonez, Cesar A. Santana, 2006, Knowledge and Information Systems.

A Cloud System for Machine Learning Exploiting a Parallel Array DBMS

Carlos Ordonez, Yiqun Zhang, S. Lennart Johnsson, 2017, 2017 28th International Workshop on Database and Expert Systems Applications (DEXA).

Comparing association rules and decision trees for disease prediction

Carlos Ordonez, 2006, HIKM '06.

Mining complex databases using the EM algorithm

Carlos Ordonez, Edward Omiecinski, 2000 .

Programming the K-means clustering algorithm in SQL

Carlos Ordonez, 2004, KDD '04.

One-pass data mining algorithms in a DBMS with UDFs

Carlos Ordonez, Sasi K. Pitchaimalai, 2011, SIGMOD '11.

Smart Applications and Data Analysis: Third International Conference, SADASC 2020, Marrakesh, Morocco, June 25–26, 2020, Proceedings

Krishna M. Sivalingam, Anirban Mondal, Alfredo Cuzzocrea, 2020, SADASC.

EnerQuery: Energy-Aware Query Processing

Amine Roukh, Carlos Ordonez, Ladjel Bellatreche, 2016, CIKM.

The Gamma Operator for Big Data Summarization on an Array DBMS

Wellington Cabrera, Carlos Ordonez, Yiqun Zhang, 2014, BigMine.

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

Wellington Cabrera, Carlos Ordonez, David Sergio Matusevich, 2016, Machine Learning.

A Clustering Algorithm to Discover Low and High Density Hyper-Rectangles in Subspaces of Multidimensional Data.

Norberto F. Ezquerra, Shamkant B. Navathe, Carlos Ordonez, 1999 .

Recursive Query Evaluation in a Column DBMS to Analyze Large Graphs

Carlos Ordonez, Achyuth Gurram, Nirmala Rai, 2014, DOLAP '14.

Guest Editorial - DaWaK 2019 Special Issue - Evolving Big Data Analytics Towards Data Science

Carlos Ordonez, Il-Yeol Song, 2020, Data Knowl. Eng..

ER4ML: An ER Modeling Tool to Represent Data Transformations in Data Science

Carlos Ordonez, Ladjel Bellatreche, Selma Khouri, 2019, ER Forum/Posters/Demos.

Efficient computation of PCA with SVD in SQL

Carlos Ordonez, Mario Navas, C. Ordonez, 2009, DMMT '09.

Can we analyze big data inside a DBMS?

Carlos Ordonez, C. Ordonez, 2013, DOLAP '13.

A Survey on Parallel Database Systems from a Storage Perspective: Rows Versus Columns

Carlos Ordonez, Ladjel Bellatreche, C. Ordonez, 2018, DEXA Workshops.

Scalable machine learning computing a data summarization matrix with a parallel array DBMS

S. Lennart Johnsson, Carlos Ordonez, Yiqun Zhang, 2018, Distributed and Parallel Databases.

Regional Pattern Discovery in Geo-referenced Datasets Using PCA

Christoph F. Eick, Carlos Ordonez, Oner Ulvi Celepcikay, 2009, MLDM.

A Query Beehive Algorithm for Data Warehouse Buffer Management and Query Scheduling

Carlos Ordonez, Pascal Richard, Ladjel Bellatreche, 2014, Int. J. Data Warehous. Min..

Integrating Database Systems and Data Mining Algorithms

Carlos Ordonez, 2012, EDA.

Équilibrage de Distribution de Données d'une Base en Mémoire Parallèle Partitionnées par Intervalle

Carlos Ordonez, Ladjel Bellatreche, Djahida Belayadi, 2018, EDA.

Integrating the R Language Runtime System with a Data Stream Warehouse

Divesh Srivastava, Theodore Johnson, Carlos Ordonez, 2017, DEXA.

COSC6340: Database Systems

Carlos Ordonez, 2001 .

The contribution of linked open data to augment a traditional data warehouse

Carlos Ordonez, Ladjel Bellatreche, Selma Khouri, 2020, Journal of Intelligent Information Systems.

A Clustering Algorithm Merging MCMC and EM Methods Using SQL Queries

Carlos Ordonez, David Sergio Matusevich, 2014, BigMine.

Horizontal aggregations for building tabular data sets

Carlos Ordonez, 2004, DMKD '04.

Data set preprocessing and transformation in a database system

Carlos Ordonez, 2011, Intell. Data Anal..

Optimizing recursive queries in SQL

Carlos Ordonez, 2005, SIGMOD '05.

SQLEM: fast clustering in SQL using the EM algorithm

Carlos Ordonez, Paul M. Cereghini, 2000, SIGMOD 2000.

Monitoring Networks with Insightful Queries

Omprakash Gnawali, Carlos Ordonez, Quangtri Thai, 2020, WiNTECH@MOBICOM.

Value-driven Approach for Designing Extended Data Warehouses

Carlos Ordonez, Ladjel Bellatreche, Selma Khouri, 2019, DOLAP.

Exploration and visualization of OLAP cubes with statistical tests

Carlos Ordonez, Zhibo Chen, C. Ordonez, 2009, VAKD '09.

Skycube Materialization Using the Topmost Skyline or Functional Dependencies

Carlos Ordonez, Nicolas Hanusse, Sofian Maabout, 2016, ACM Trans. Database Syst..

Model and Data Engineering

Dominique Méry, Matteo Golfarelli, Carlos Ordonez, 2017, Lecture Notes in Computer Science.

Discovering Interesting Association Rules in Medical Data

Carlos Ordonez, Levien de Braal, Cesar A. Santana, 2000, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

Statistical Model Computation with UDFs

Carlos Ordonez, C. Ordonez, 2010, IEEE Transactions on Knowledge and Data Engineering.

A Tool for Statistical Analysis on Network Big Data

Divesh Srivastava, Theodore Johnson, Carlos Ordonez, 2017, 2017 28th International Workshop on Database and Expert Systems Applications (DEXA).

Comparing columnar, row and array DBMSs to process recursive queries on graphs

Wellington Cabrera, Carlos Ordonez, Achyuth Gurram, 2017, Inf. Syst..

Efficient disk-based K-means clustering for relational databases

Carlos Ordonez, Edward Omiecinski, C. Ordonez, 2004, IEEE Transactions on Knowledge and Data Engineering.

Evaluating association rules and decision trees to predict multiple target attributes

Kai Zhao, Carlos Ordonez, 2011, Intell. Data Anal..

Accelerating EM clustering to find high-quality solutions

Carlos Ordonez, Edward Omiecinski, 2003, Knowledge and Information Systems.

Models for association rules based on clustering and correlation

Carlos Ordonez, C. Ordonez, 2009, Intell. Data Anal..

Energy-Aware Query Processing on a Parallel Database Cluster Node

Amine Roukh, Carlos Ordonez, Ladjel Bellatreche, 2016, ICA3PP.

Discovering frequent pattern pairs

Carlos Ordonez, Zhibo Chen, 2013, Intell. Data Anal..

Association rule discovery with the train and test approach for heart disease prediction

Carlos Ordonez, C. Ordonez, 2006, IEEE Transactions on Information Technology in Biomedicine.

Boolean Network Models of Collective Dynamics of Open and Closed Large-Scale Multi-agent Systems

Carlos Ordonez, Predrag T. Tosic, C. Ordonez, 2017, HoloMAS.

Bounding and Estimating Association Rule Support from Clusters on Binary Data

Kai Zhao, Carlos Ordonez, Zhibo Chen, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Big Data Analytics Integrating a Parallel Columnar DBMS and the R Language

Wellington Cabrera, Carlos Ordonez, Yiqun Zhang, 2016, 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid).

Fast UDFs to compute sufficient statistics on large data sets exploiting caching and sampling

Carlos Ordonez, Sasi K. Pitchaimalai, C. Ordonez, 2010, Data Knowl. Eng..

A Comparison of Data Science Systems

Carlos Ordonez, C. Ordonez, 2020, BDA.

Think big, start small: a good initiative to design green query optimizers

Amine Roukh, Carlos Ordonez, Ladjel Bellatreche, 2020, Cluster Computing.

Model and Data Engineering

Dominique Méry, Matteo Golfarelli, Carlos Ordonez, 2018, Lecture Notes in Computer Science.

Optimization of Linear Recursive Queries in SQL

Carlos Ordonez, C. Ordonez, 2010, IEEE Transactions on Knowledge and Data Engineering.

Building statistical models and scoring with UDFs

Carlos Ordonez, 2007, SIGMOD '07.

Image Mining: A New Approach for Data Mining

Carlos Ordonez, Edward Omiecinski, C. Ordonez, 1998 .

Bayesian variable selection for linear regression in high dimensional microarray data

Wellington Cabrera, Carlos Ordonez, Veerabhadran Baladandayuthapani, 2013, DTMBIO '13.

On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs

Carlos Ordonez, Veerabhadran Baladandayuthapani, Mario Navas, 2010, 2010 IEEE International Conference on Data Mining.

Time Complexity and Parallel Speedup of Relational Queries to Solve Graph Problems

Carlos Ordonez, Predrag T. Tosic, C. Ordonez, 2018, DEXA.

Cost Effective Load-Balancing Approach for Range-Partitioned Main-Memory Resident Data

Carlos Ordonez, Ladjel Bellatreche, Djahida Belayadi, 2018, DEXA.

COSC2320: Data Structures

Carlos Ordonez, 2010 .

Les Dépendances Fonctionnelles pour l’Optimisation des Requêtes Skyline Multi-dimensionnelle

Carlos Ordonez, Nicolas Hanusse, Sofian Maabout, 2014 .

Integrating K-means clustering with a relational DBMS using SQL

Carlos Ordonez, C. Ordonez, 2006, IEEE Transactions on Knowledge and Data Engineering.

Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines

Wenyi Wang, Carlos Ordonez, Veerabhadran Baladandayuthapani, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

A fast algorithm to cluster high dimensional basket data

Norberto F. Ezquerra, Carlos Ordonez, Edward Omiecinski, 2001, Proceedings 2001 IEEE International Conference on Data Mining.

Programming Languages in Data Science: a Comparison from a Database Angle

Carlos Ordonez, Xiantian Zhou, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Consistent Aggregations in Databases with Referential Integrity Errors

Carlos Ordonez, Javier García-García, C. Ordonez, 2011 .