List of works - Albert Bifet

A survey on concept drift adaptation ⬇️

Active Learning with Evolving Streaming Data

Active learning with drifting streaming data.

scientific article

Adaptive Model Rules From High-Speed Data Streams

article

An effective evaluation measure for clustering on evolving data streams

Analyzing and repairing concept drift adaptation in data stream classification

scientific article published on 24 May 2021

Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data

article by Jesse Read et al published 2012 in Lecture Notes in Computer Science

Boosting decision stumps for dynamic feature selection on data streams

scholarly article

ChatGPT and Large Language Models: What are the Implications for Policy Makers?

scientific article published in 2023

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA

Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams

scientific article published on 12 May 2023

Delayed labelling evaluation for data streams ⬇️

scholarly article

Discriminative Streaming Network Embedding ⬇️

scholarly article

Distributed Adaptive Model Rules for mining big data streams

Drift Detection Using Stream Volatility

scientific article published in 2015

Ensembles of Restricted Hoeffding Trees

Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning

scientific article published on 06 December 2019

Fast Perceptron Decision Tree Learning from Evolving Data Streams

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information

scientific article published in April 2021

Improving Adaptive Bagging Methods for Evolving Data Streams

article published in 2009

Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining ⬇️

scholarly article

IoT Big Data Stream Mining

article published in 2016

Learning from Time-Changing Data with Adaptive Windowing

scholarly article published 26 April 2007

Leveraging Bagging for Evolving Data Streams

MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data

scholarly article by Albert Bifet et al published 2011 in Lecture Notes in Computer Science

MOA: A Real-Time Analytics Open Source Framework

Machine Learning (In) Security: A Stream of Problems

scientific article published in 2023

Measuring the Shattering coefficient of Decision Tree models

scholarly article

Merit-guided dynamic feature selection filter for data streams

scholarly article

Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge

scientific article published on 02 July 2024

Mining big data

article by Wei Fan & Albert Bifet published 30 April 2013 in SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining

Mining frequent closed graphs on evolving data streams

article

Mining frequent closed trees in evolving data streams

scholarly article

New ensemble methods for evolving data streams

Next challenges for adaptive learning systems

On learning guarantees to unsupervised concept drift detection on data streams

scholarly article

Online Evaluation of Email Streaming Classifiers Using GNUsmail

Preventing Discriminatory Decision-making in Evolving Data Streams

scientific article published on 12 June 2023

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

scientific article published on 14 February 2021

Recurring concept meta-learning for evolving data streams

scientific article published in 2019

SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams

scientific article published on 05 December 2020

SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams

scientific article published in 2022

Scalable and efficient multi-label classification for evolving data streams

Sentiment Knowledge Discovery in Twitter Streaming Data

scholarly article by Albert Bifet & Eibe Frank published 2010 in Lecture Notes in Computer Science

Spiking Neural Networks and online learning: An overview and perspectives

scientific article published on 07 September 2019

Stream Data Mining Using the MOA Framework

article published in 2012

VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining

scientific article published in 2022

List of works by Albert Bifet

A survey on concept drift adaptation ⬇️

Active Learning with Evolving Streaming Data

Active learning with drifting streaming data.

Adaptive Model Rules From High-Speed Data Streams

An effective evaluation measure for clustering on evolving data streams

Analyzing and repairing concept drift adaptation in data stream classification

Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data

Boosting decision stumps for dynamic feature selection on data streams

ChatGPT and Large Language Models: What are the Implications for Policy Makers?

Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA

Combining Diverse Meta-Features to Accurately Identify Recurring Concept Drift in Data Streams

Delayed labelling evaluation for data streams ⬇️

Discriminative Streaming Network Embedding ⬇️

Distributed Adaptive Model Rules for mining big data streams

Drift Detection Using Stream Volatility

Ensembles of Restricted Hoeffding Trees

Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning

Fast Perceptron Decision Tree Learning from Evolving Data Streams

Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information

Improving Adaptive Bagging Methods for Evolving Data Streams

Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining ⬇️

IoT Big Data Stream Mining

Learning from Time-Changing Data with Adaptive Windowing

Leveraging Bagging for Evolving Data Streams

MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data

MOA: A Real-Time Analytics Open Source Framework

Machine Learning (In) Security: A Stream of Problems

Measuring the Shattering coefficient of Decision Tree models

Merit-guided dynamic feature selection filter for data streams

Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge

Mining big data

Mining frequent closed graphs on evolving data streams

Mining frequent closed trees in evolving data streams

New ensemble methods for evolving data streams

Next challenges for adaptive learning systems

On learning guarantees to unsupervised concept drift detection on data streams

Online Evaluation of Email Streaming Classifiers Using GNUsmail

Preventing Discriminatory Decision-making in Evolving Data Streams

Recurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparency

Recurring concept meta-learning for evolving data streams

SCALAR - A Platform for Real-time Machine Learning Competitions on Data Streams

SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams

Scalable and efficient multi-label classification for evolving data streams

Sentiment Knowledge Discovery in Twitter Streaming Data

Spiking Neural Networks and online learning: An overview and perspectives

Stream Data Mining Using the MOA Framework

VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining