Geoff Holmes

According to our database1, Geoff Holmes authored at least 88 papers between 1991 and 2019.

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Bibliography

2019
Ensembles of Nested Dichotomies with Multiple Subset Evaluation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

On Calibration of Nested Dichotomies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
The online performance estimation framework: heterogeneous ensemble learning for data streams.
Machine Learning, 2018

Which method to use? An assessment of data mining methods in Environmental Data Science.
Environmental Modelling and Software, 2018

Environmental Data Science.
Environmental Modelling and Software, 2018

Preface to the thematic issue on Environmental Data Science. Applications to air quality and water cycle.
Environmental Modelling and Software, 2018

Biosensing by Learning: Cancer Detection as Iterative optimization.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Introduction: special issue of selected papers from ACML 2015.
Machine Learning, 2017

Adaptive random forests for evolving data stream classification.
Machine Learning, 2017

Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016).
Machine Learning, 2017

Extremely Fast Decision Tree Mining for Evolving Data Streams.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Probability Calibration Trees.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
MEKA: A Multi-label/Multi-target Extension to WEKA.
J. Mach. Learn. Res., 2016

2015
Evaluation methods and decision theory for classification of streaming data with temporal dependence.
Machine Learning, 2015

Big Data with ADAMS.
Proceedings of the 4th International Workshop on Big Data, 2015

Efficient Online Evaluation of Big Data Stream Classifiers.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

STRATUS: Towards Returning Data Control to Cloud Users.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Digital Libraries Unfurled: Supporting the New Zealand Flag Debate.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2015

Preface.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Provenance for cloud data accountability.
Proceedings of the Cloud Security Ecosystem, 2015

2014
Active Learning With Drifting Streaming Data.
IEEE Trans. Neural Netw. Learning Syst., 2014

Towards Meta-learning over Data Streams.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Algorithm Selection on Data Streams.
Proceedings of the Discovery Science - 17th International Conference, 2014

2013
Efficient data stream classification via probabilistic adaptive windows.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

CD-MOA: Change Detection Framework for Massive Online Analysis.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Security and Data Accountability in Distributed Systems: A Provenance Survey.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012
Ensembles of Restricted Hoeffding Trees.
ACM TIST, 2012

Experiment databases - A new way to share, organize and learn from experiments.
Machine Learning, 2012

Scalable and efficient multi-label classification for evolving data streams.
Machine Learning, 2012

Developing data mining applications.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Stream Data Mining Using the MOA Framework.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
MOA Concept Drift Active Learning Strategies for Streaming Data.
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Streaming Multi-label Classification.
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Detecting Sentiment Change in Twitter Streaming Data.
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Active Learning with Evolving Streaming Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

MOA: A Real-Time Analytics Open Source Framework.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

An effective evaluation measure for clustering on evolving data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Mining frequent closed graphs on evolving data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data.
Proceedings of the Discovery Science - 14th International Conference, 2011

2010
Weka-A Machine Learning Workbench for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

WEKA - Experiences with a Java Open-Source Project.
J. Mach. Learn. Res., 2010

MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

MOA: Massive Online Analysis.
J. Mach. Learn. Res., 2010

Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Leveraging Bagging for Evolving Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Fast Perceptron Decision Tree Learning from Evolving Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA.
Proceedings of the ICDMW 2010, 2010

2009
The WEKA data mining software: an update.
SIGKDD Explorations, 2009

Classifier Chains for Multi-label Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

New ensemble methods for evolving data streams.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Analysing chromatographic data using data mining to monitor petroleum content in water.
Proceedings of the Information Technologies in Environmental Engineering, 2009

The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Improving Adaptive Bagging Methods for Evolving Data Streams.
Proceedings of the Advances in Machine Learning, 2009

2008
ONTRACK: Dynamically adapting music playback to support navigation.
Personal and Ubiquitous Computing, 2008

Learning from the Past with Experiment Databases.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Handling Numeric Attributes in Hoeffding Trees.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Organizing the World's Machine Learning Information.
Proceedings of the Leveraging Applications of Formal Methods, 2008

Multi-label Classification Using Ensembles of Pruned Sets.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
The Need for Open Source Software in Machine Learning.
J. Mach. Learn. Res., 2007

New Options for Hoeffding Trees.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2005
Stress-Testing Hoeffding Trees.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams.
Proceedings of the 4th International Conference on IT in Asia, 2005

WEKA - A Machine Learning Workbench for Data Mining.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Data mining in bioinformatics using Weka.
Bioinformatics, 2004

An Instrument Control System Using Predictive Modelling.
Proceedings of the ICINCO 2004, 2004

Clustering Large Datasets Using Cobweb and K-Means in Tandem.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Multinomial Naive Bayes for Text Categorization Revisited.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining.
IEEE Trans. Knowl. Data Eng., 2003

2002
Multiclass Alternating Decision Trees.
Proceedings of the Machine Learning: ECML 2002, 2002

Racing Committees for Large Datasets.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Interactive machine learning: letting users build classifiers.
Int. J. Hum.-Comput. Stud., 2001

Optimizing the Induction of Alternating Decision Trees.
Proceedings of the Knowledge Discovery and Data Mining, 2001

Wrapping Boosters against Noise.
Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

2000
Naive Bayes for Regression (Technical Note).
Machine Learning, 2000

1999
Generating Rule Sets from Model Trees.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998
Using Model Trees for Classification.
Machine Learning, 1998

Teaching computer systems to majors: a MIPS based solution.
Proceedings of the 1998 workshop on Computer architecture education, 1998

Correcting English Text Using PPM Models.
Proceedings of the Data Compression Conference, 1998

1995
The Development of Holte's 1R Classifier.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995

1993
Improving the image recognition capability of Hopfield neural networks.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

Using data mining to support the construction and maintenance of expert systems.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

1991
A Modified Quickprop Algorithm.
Neural Computation, 1991

Natural language and computational linguistics - an introduction.
Ellis Horwood Series in computers and their applications, Ellis Horwood, ISBN: 978-0-13-612813-7, 1991


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