João Gama

According to our database1, João Gama authored at least 280 papers between 1994 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
The search of conditional outliers.
Intell. Data Anal., 2019

A scalable saliency-based Feature selection method with instance level information.
CoRR, 2019

Identifying Points of Interest and Similar Individuals from Raw GPS Data.
CoRR, 2019

2018
Social network analysis: An overview.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2018

Cover Image, Volume 8, Issue 5.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2018

Guest Editorial Special Issue on Knowledge Discovery From Mobility Data for Intelligent Transportation Systems.
IEEE Trans. Intelligent Transportation Systems, 2018

Multi-label classification from high-speed data streams with adaptive model rules and random rules.
Progress in AI, 2018

On analyzing user preference dynamics with temporal social networks.
Machine Learning, 2018

A comparison of hierarchical multi-output recognition approaches for anuran classification.
Machine Learning, 2018

Forgetting techniques for stream-based matrix factorization in recommender systems.
Knowl. Inf. Syst., 2018

A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks.
IJDSN, 2018

Improving acute kidney injury detection with conditional probabilities.
Intell. Data Anal., 2018

Online bagging for recommender systems.
Expert Systems, 2018

Dynamic graph summarization: a tensor decomposition approach.
Data Min. Knowl. Discov., 2018

Dynamic Laplace: Efficient Centrality Measure for Weighted or Unweighted Evolving Networks.
CoRR, 2018

Personalised Dynamic Viewer Profiling for Streamed Data.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Co-training study for online regression.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Active Learning by Clustering for Drifted Data Stream Classification.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Self Hyper-parameter Tuning for Stream Recommendation Algorithms.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Clustering in the Presence of Concept Drift.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Incremental TextRank - Automatic Keyword Extraction for Text Streams.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

Online Gradient Boosting for Incremental Recommender Systems.
Proceedings of the Discovery Science - 21st International Conference, 2018

Self Hyper-Parameter Tuning for Data Streams.
Proceedings of the Discovery Science - 21st International Conference, 2018

Biased Dynamic Sampling for Temporal Network Streams.
Proceedings of the Complex Networks and Their Applications VII, 2018

Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Clustering from Data Streams.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Computational Models for Social and Technical Interactions.
New Generation Comput., 2017

WCDS: A Two-Phase Weightless Neural System for Data Stream Clustering.
New Generation Comput., 2017

Weightless neural networks for open set recognition.
Machine Learning, 2017

Ensemble learning for data stream analysis: A survey.
Information Fusion, 2017

Fading histograms in detecting distribution and concept changes.
I. J. Data Science and Analytics, 2017

An evolutionary algorithm for clustering data streams with a variable number of clusters.
Expert Syst. Appl., 2017

Feature ranking in hoeffding algorithms for regression.
Proceedings of the Symposium on Applied Computing, 2017

Comparison Between Co-training and Self-training for Single-target Regression in Data Streams using AMRules.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

Outliers and the Simpson's Paradox.
Proceedings of the Advances in Soft Computing, 2017

Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Improving Incremental Recommenders with Online Bagging.
Proceedings of the Progress in Artificial Intelligence, 2017

Credit Scoring in Microfinance Using Non-traditional Data.
Proceedings of the Progress in Artificial Intelligence, 2017

Mobility Mining Using Nonnegative Tensor Factorization.
Proceedings of the Progress in Artificial Intelligence, 2017

The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Classification systems in dynamic environments: an overview.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2016

Adaptive Model Rules From High-Speed Data Streams.
TKDD, 2016

Dynamic community detection in evolving networks using locality modularity optimization.
Social Netw. Analys. Mining, 2016

Sequential anomalies: a study in the Railway Industry.
Machine Learning, 2016

Tensor-based anomaly detection: An interdisciplinary survey.
Knowl.-Based Syst., 2016

Event detection from traffic tensors: A hybrid model.
Neurocomputing, 2016

Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.
Intell. Data Anal., 2016

A new dynamic modeling framework for credit risk assessment.
Expert Syst. Appl., 2016

Time-evolving O-D matrix estimation using high-speed GPS data streams.
Expert Syst. Appl., 2016

MINAS: multiclass learning algorithm for novelty detection in data streams.
Data Min. Knowl. Discov., 2016

Online bagging for recommendation with incremental matrix factorization.
CoRR, 2016

SimTensor: A synthetic tensor data generator.
CoRR, 2016

Analyzing the behavior dynamics of grain price indexes using Tucker tensor decomposition and spatio-temporal trajectories.
Computers and Electronics in Agriculture, 2016

An online learning approach to eliminate Bus Bunching in real-time.
Appl. Soft Comput., 2016

Novelty detection in data streams.
Artif. Intell. Rev., 2016

Sampling massive streaming call graphs.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Clustering data streams using a forgetful neural model.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Online Bagging for Recommendation with Incremental Matrix Factorization.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

Detecting Events in Evolving Social Networks through Node Centrality Analysis.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016

Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Sampling Evolving Ego-Networks with forgetting Factor.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Evolving Centralities in Temporal Graphs: A Twitter Network Analysis.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

IoT Big Data Stream Mining.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Detection of Fraud Symptoms in the Retail Industry.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

Scalable Online Top-N Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

Evolution Analysis of Call Ego-Networks.
Proceedings of the Discovery Science - 19th International Conference, 2016

On Using Temporal Networks to Analyze User Preferences Dynamics.
Proceedings of the Discovery Science - 19th International Conference, 2016

Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach.
Proceedings of the Discovery Science - 19th International Conference, 2016

Online Multi-label Classification with Adaptive Model Rules.
Proceedings of the Advances in Artificial Intelligence, 2016

How to Correctly Evaluate an Automatic Bioacoustics Classification Method.
Proceedings of the Advances in Artificial Intelligence, 2016

Automatic Classification of Anuran Sounds Using Convolutional Neural Networks.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

Online Social Networks Event Detection: A Survey.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
An overview on the exploitation of time in collaborative filtering.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2015

Evaluation of Multiclass Novelty Detection Algorithms for Data Streams.
IEEE Trans. Knowl. Data Eng., 2015

Improving Mass Transit Operations by Using AVL-Based Systems: A Survey.
IEEE Trans. Intelligent Transportation Systems, 2015

Exploring multi-relational temporal databases with a propositional sequence miner.
Progress in AI, 2015

Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track.
Machine Learning, 2015

Multi-aspect-streaming tensor analysis.
Knowl.-Based Syst., 2015

Validating the coverage of bus schedules: A Machine Learning approach.
Inf. Sci., 2015

Online tree-based ensembles and option trees for regression on evolving data streams.
Neurocomputing, 2015

EigenEvent: An algorithm for event detection from complex data streams in syndromic surveillance.
Intell. Data Anal., 2015

Eigenspace method for spatiotemporal hotspot detection.
Expert Systems, 2015

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality.
Data Min. Knowl. Discov., 2015

Very fast decision rules for classification in data streams.
Data Min. Knowl. Discov., 2015

Guest editors introduction: special issue of the ECMLPKDD 2015 journal track.
Data Min. Knowl. Discov., 2015

Evaluation of recommender systems in streaming environments.
CoRR, 2015

Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Collaborative filtering with recency-based negative feedback.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Visualization of evolving large scale ego-networks.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Forgetting methods for incremental matrix factorization in recommender systems.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Concept Drift Detection with Clustering via Statistical Change Detection Methods.
Proceedings of the 2015 Seventh International Conference on Knowledge and Systems Engineering, 2015

A bounded neural network for open set recognition.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Classification of Evolving Data Streams with Infinitely Delayed Labels.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Streaming Networks Sampling using top-K Networks.
Proceedings of the ICEIS 2015, 2015

A Framework for Analysing Dynamic Communities in Large-scale Social Networks.
Proceedings of the ICEIS 2015, 2015

An Experimental Study on Predictive Models Using Hierarchical Time Series.
Proceedings of the Progress in Artificial Intelligence, 2015

Keynote speaker 2: Real time data mining.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Multi-target regression from high-speed data streams with adaptive model rules.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Measures for Combining Prediction Intervals Uncertainty and Reliability in Forecasting.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Distributed clustering of ubiquitous data streams.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Data stream mining in ubiquitous environments: state-of-the-art and current directions.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Dynamic communities in evolving customer networks: an analysis using landmark and sliding windows.
Social Netw. Analys. Mining, 2014

Constructing fading histograms from data streams.
Progress in AI, 2014

Event labeling combining ensemble detectors and background knowledge.
Progress in AI, 2014

Recurrent concepts in data streams classification.
Knowl. Inf. Syst., 2014

Unsupervised density-based behavior change detection in data streams.
Intell. Data Anal., 2014

Enhancing data stream predictions with reliability estimators and explanation.
Eng. Appl. of AI, 2014

A survey on concept drift adaptation.
ACM Comput. Surv., 2014

Event and Anomaly Detection Using Tucker3 Decomposition.
CoRR, 2014

Eigenspace Method for Spatiotemporal Hotspot Detection.
CoRR, 2014

EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance.
CoRR, 2014

An eigenvector-based hotspot detection.
CoRR, 2014

Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Visualization for Streaming Telecommunications Networks.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Ensembles of Adaptive Model Rules from High-Speed Data Streams.
Proceedings of the 3rd International Workshop on Big Data, 2014

An online learning framework for predicting the taxi stand's profitability.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

On Predicting a Call Center's Workload: A Discretization-Based Approach.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Keynote speakers.
Proceedings of the IEEE Symposium on Computers and Communications, 2014

An Incremental Probabilistic Model to Predict Bus Bunching in Real-Time.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Challenges in Learning from Streaming Data Extended Abstract.
Proceedings of the ICT Innovations 2014, 2014

Collaborative Wind Power Forecast.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

Comparing Data Distribution Using Fading Histograms.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Failure Prediction - An Application in the Railway Industry.
Proceedings of the Discovery Science - 17th International Conference, 2014

Using Probabilistic Graphical Models to Enhance the Prognosis of Health-Related Quality of Life in Adult Survivors of Critical Illness.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Distributed Adaptive Model Rules for mining big data streams.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2013
Predicting Taxi-Passenger Demand Using Streaming Data.
IEEE Trans. Intelligent Transportation Systems, 2013

On evaluating stream learning algorithms.
Machine Learning, 2013

Data Stream Mining: the Bounded Rationality.
Informatica (Slovenia), 2013

Real-time algorithm for changes detection in depth of anesthesia signals.
Evolving Systems, 2013

Visualization of evolving social networks using actor-level and community-level trajectories.
Expert Systems, 2013

Data stream clustering: A survey.
ACM Comput. Surv., 2013

Novelty detection algorithm for data streams multi-class problems.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Random rules from data streams.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Adaptive Model Rules from Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

On Recommending Urban Hotspots to Find Our Next Passenger.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013

Learning Model Rules From High-Speed Data Streams.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013

WIPS: the WiSARD Indoor Positioning System.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

On Predicting the Taxi-Passenger Demand: A Real-Time Approach.
Proceedings of the Progress in Artificial Intelligence, 2013

Avoiding Anomalies in Data Stream Learning.
Proceedings of the Discovery Science - 16th International Conference, 2013

Contextual anomalies in medical data.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Evaluation Methodology for Multiclass Novelty Detection Algorithms.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
An overview of social network analysis.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2012

Next challenges for adaptive learning systems.
SIGKDD Explorations, 2012

A survey on learning from data streams: current and future trends.
Progress in AI, 2012

A framework to monitor clusters evolution applied to economy and finance problems.
Intell. Data Anal., 2012

An online recommendation system for the taxi stand choice problem (Poster).
Proceedings of the 2012 IEEE Vehicular Networking Conference, 2012

Vehicular Sensing: Emergence of a Massive Urban Scanner.
Proceedings of the Sensor Systems and Software - Third International ICST Conference, 2012

A Density-Based Clustering Approach for Behavior Change Detection in Data Streams.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Very Fast Decision Rules for multi-class problems.
Proceedings of the ACM Symposium on Applied Computing, 2012

Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters.
Proceedings of the ACM Symposium on Applied Computing, 2012

Handling Time Changing Data with Adaptive Very Fast Decision Rules.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Mobile Data Stream Mining: From Algorithms to Applications.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

A predictive model for the passenger demand on a taxi network.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Bus Bunching Detection by Mining Sequences of Headway Deviations.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

A Weightless Neural Network-Based Approach for Stream Data Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Where Are We Going? Predicting the Evolution of Individuals.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Online Predictive Model for Taxi Services.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Identifying Relationships in Transactional Data.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Predicting Ramp Events with a Stream-Based HMM Framework.
Proceedings of the Discovery Science - 15th International Conference, 2012

Contributions to a decision support system based on depth of anesthesia signals.
Proceedings of CBMS 2012, 2012

2011
Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009).
Knowl. Inf. Syst., 2011

Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification.
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Clustering distributed sensor data streams using local processing and reduced communication.
Intell. Data Anal., 2011

Ubiquitous Knowledge Discovery.
Intell. Data Anal., 2011

Learning model trees from evolving data streams.
Data Min. Knowl. Discov., 2011

L2GClust: local-to-global clustering of stream sources.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Incremental multi-target model trees for data streams.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Sequential Pattern Knowledge in Multi-Relational Learning.
Proceedings of the Computer and Information Sciences II, 2011

Predictive Sequence Miner in ILP Learning.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Learning Decision Rules from Data Streams.
Proceedings of the IJCAI 2011, 2011

Learning about the Learning Process.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Online Evaluation of Email Streaming Classifiers Using GNUsmail.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Correcting Streaming Predictions of an Electricity Load Forecast System Using a Prediction Reliability Estimate.
Proceedings of the Man-Machine Interactions 2, 2011

Speeding-Up Hoeffding-Based Regression Trees With Options.
Proceedings of the 28th International Conference on Machine Learning, 2011

Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Reasoning about the Learning Process.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Clustering data streams with weightless neural networks.
Proceedings of the ESANN 2011, 2011

Visualizing the Evolution of Social Networks.
Proceedings of the Progress in Artificial Intelligence, 2011

Constrained Sequential Pattern Knowledge in Multi-relational Learning.
Proceedings of the Progress in Artificial Intelligence, 2011

Advances in data stream mining for mobile and ubiquitous environments.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

New Results on Minimum Error Entropy Decision Trees.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Knowledge Discovery from Data Streams.
Proceedings of the Web Intelligence and Security, 2010

Change Detection with Kalman Filter and CUSUM.
Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

Resource Aware Distributed Knowledge Discovery.
Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

Clustering from Data Streams.
Proceedings of the Encyclopedia of Machine Learning, 2010

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explorations, 2010

MEC - Monitoring Clusters' Transitions.
Proceedings of the STAIRS 2010, 2010

Data Stream Mining Algorithms for Building Decision Models in a Computer Role-Playing Game Simulation.
Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010

The next generation of transportation systems, greenhouse emissions, and data mining.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Validation of both number and coverage of bus schedules using AVL data.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Bipartite Graphs for Monitoring Clusters Transitions.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Drift Severity Metric.
Proceedings of the ECAI 2010, 2010

Knowledge Discovery from Data Streams.
Chapman and Hall / CRC Data Mining and Knowledge Discovery Series, CRC Press, ISBN: 978-1-4398-2611-9, 2010

2009
An Overview on Mining Data Streams.
Proceedings of the Foundations of Computational Intelligence - Volume 6: Data Mining, 2009

Learning from Data Streams.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Data Streams.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explorations, 2009

Novelty detection with application to data streams.
Intell. Data Anal., 2009

A system for analysis and prediction of electricity-load streams.
Intell. Data Anal., 2009

Knowledge discovery from data streams.
Intell. Data Anal., 2009

Adaptive Bayesian network classifiers.
Intell. Data Anal., 2009

Evaluating algorithms that learn from data streams.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Issues in evaluation of stream learning algorithms.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Change Detection in Climate Data over the Iberian Peninsula.
Proceedings of the ICDM Workshops 2009, 2009

Tracking Recurring Concepts with Meta-learners.
Proceedings of the Progress in Artificial Intelligence, 2009

Regression Trees from Data Streams with Drift Detection.
Proceedings of the Discovery Science, 12th International Conference, 2009

Decision Trees Using the Minimum Entropy-of-Error Principle.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

Sequential Pattern Mining in Multi-relational Datasets.
Proceedings of the Current Topics in Artificial Intelligence, 2009

2008
Hierarchical Clustering of Time-Series Data Streams.
IEEE Trans. Knowl. Data Eng., 2008

Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explorations, 2008

The Dimension of Ecocs for Multiclass Classification Problems.
International Journal on Artificial Intelligence Tools, 2008

Knowledge discovery from data streams.
Intell. Data Anal., 2008

Improving the performance of an incremental algorithm driven by error margins.
Intell. Data Anal., 2008

A review on the combination of binary classifiers in multiclass problems.
Artif. Intell. Rev., 2008

Learning from Data Streams: Synopsis and Change Detection.
Proceedings of the STAIRS 2008, 2008

Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Special track on Data Streams: editorial message.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Clustering Distributed Sensor Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Monitoring Incremental Histogram Distribution for Change Detection in Data Streams.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

A Simple Dense Pixel Visualization for Mobile Sensor Data Mining.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Online Reliability Estimates for Individual Predictions in Data Streams.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Robust Division in Clustering of Streaming Time Series.
Proceedings of the ECAI 2008, 2008

Learning Model Trees from Data Streams.
Proceedings of the Discovery Science, 11th International Conference, 2008

2007
OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Incremental discretization, application to data with concept drift.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Stream-Based Electricity Load Forecast.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Pursuing the Best ECOC Dimension for Multiclass Problems.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Change Detection in Learning Histograms from Data Streams.
Proceedings of the Progress in Artificial Intelligence, 2007

Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering.
Proceedings of the Progress in Artificial Intelligence, 2007

2006
An Overview on Learning from Data Streams.
New Generation Comput., 2006

Decision trees for mining data streams.
Intell. Data Anal., 2006

ODAC: Hierarchical Clustering of Time Series Data Streams.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Discretization from data streams: applications to histograms and data mining.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

An Adaptive Prequential Learning Framework for Bayesian Network Classifiers.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Change Detection with Kalman Filter and CUSUM.
Proceedings of the Discovery Science, 9th International Conference, 2006

Learning with Local Drift Detection.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Learning Decision Trees from Dynamic Data Streams.
J. UCS, 2005

Data Streams J.UCS Special Issue.
J. UCS, 2005

Learning decision trees from dynamic data streams.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Introduction.
Proceedings of the Progress in Artificial Intelligence, 2005

Bias Management of Bayesian Network Classifiers.
Proceedings of the Discovery Science, 8th International Conference, 2005

2004
On Data and Algorithms: Understanding Inductive Performance.
Machine Learning, 2004

Functional Trees.
Machine Learning, 2004

Incremental learning and concept drift: Editor's introduction.
Intell. Data Anal., 2004

Learning with Drift Detection.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

Forest trees for on-line data.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Learning in Dynamic Environments: Decision Trees for Data Streams.
Proceedings of the Pattern Recognition in Information Systems, 2004

2003
Iterative Bayes.
Theor. Comput. Sci., 2003

Adaptive Bayes for a Student Modeling Prediction Task Based on Learning Styles.
Proceedings of the User Modeling 2003, 2003

Accurate decision trees for mining high-speed data streams.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Adaptation to Drifting Concepts.
Proceedings of the Progress in Artificial Intelligence, 2003

2002
An Analysis of Functional Trees.
Proceedings of the Machine Learning, 2002

Adaptive Bayes.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Functional Trees for Regression.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Functional Trees for Classification.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Parallel Implementation of Decision Tree Learning Algorithms.
Proceedings of the Progress in Artificial Intelligence, 2001

Functional Trees.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000
Cascade Generalization.
Machine Learning, 2000

Iterative Bayes.
Intell. Data Anal., 2000

Thesis: Inductive learning classification algorithms.
AI Commun., 2000

A Linear-Bayes Classifier.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Linear tree.
Intell. Data Anal., 1999

Discriminant Trees.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Iterative Naive Bayes.
Proceedings of the Discovery Science, 1999

1998
Local Cascade Generalization.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Dynamic Discretization of Continuous Attributes.
Proceedings of the Progress in Artificial Intelligence, 1998

Combining Classifiers by Constructive Induction.
Proceedings of the Machine Learning: ECML-98, 1998

1997
Regression Using Classification Algorithms.
Intell. Data Anal., 1997

Oblique Linear Tree.
Proceedings of the Advances in Intelligent Data Analysis, 1997

Probabilistic Linear Tree.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Search-Based Class Discretization.
Proceedings of the Machine Learning: ECML-97, 1997

1996
Regression by Classification.
Proceedings of the Advances in Artificial Intelligence, 1996

1995
Characterization of Classification Algorithms.
Proceedings of the Progress in Artificial Intelligence, 1995

1994
Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning.
Proceedings of the Machine Learning: ECML-94, 1994


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