A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering

Sequential Sampling Algorithms: Unified Analysis and Lower Bounds

SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications

The learning-curve sampling method applied to model-based clustering

The Journal of Machine Learning Research

Cost-efficient mining techniques for data streams

ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32

Incremental learning with partial instance memory

Artificial Intelligence

Interactive data summarization: an example application

Proceedings of the working conference on Advanced visual interfaces

Mining data streams: a review

ACM SIGMOD Record

Design of a next generation sampling service for large scale data analysis applications

Proceedings of the 19th annual international conference on Supercomputing

A Framework for On-Demand Classification of Evolving Data Streams

IEEE Transactions on Knowledge and Data Engineering

Dependency trees in sub-linear time and bounded memory

The VLDB Journal — The International Journal on Very Large Data Bases

Online clustering of parallel data streams

Data & Knowledge Engineering

Online Random Shuffling of Large Database Tables

IEEE Transactions on Knowledge and Data Engineering

A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety

Intelligent Data Analysis - Knowlegde Discovery from Data Streams

Efficient instance-based learning on data streams

Intelligent Data Analysis

Empirical Bernstein stopping

Proceedings of the 25th international conference on Machine learning

Summarizing spatial data streams using ClusterHulls

Journal of Experimental Algorithmics (JEA)

Clustering Distributed Sensor Data Streams

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

A scalable framework for cluster ensembles

Pattern Recognition

Patch clustering for massive data sets

Neurocomputing

Online pairing of VoIP conversations

The VLDB Journal — The International Journal on Very Large Data Bases

Extending fuzzy and probabilistic clustering to very large data sets

Computational Statistics & Data Analysis

C-DenStream: Using Domain Knowledge on a Data Stream

DS '09 Proceedings of the 12th International Conference on Discovery Science

Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts

Artificial Intelligence

Data compression by volume prototypes for streaming data

Pattern Recognition

MG-join: detecting phenomena and their correlation in high dimensional data streams

Distributed and Parallel Databases

Topographic mapping of large dissimilarity data sets

Neural Computation

Approximate pairwise clustering for large data sets via sampling plus extension

Pattern Recognition

Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications

IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing

Increasing availability of industrial systems through data stream mining

Computers and Industrial Engineering

Clustering distributed sensor data streams using local processing and reduced communication

Intelligent Data Analysis - Ubiquitous Knowledge Discovery

L2GClust: local-to-global clustering of stream sources

Proceedings of the 2011 ACM Symposium on Applied Computing

Sub-sampling: Real-time vision for micro air vehicles

Robotics and Autonomous Systems

Clustering very large dissimilarity data sets

ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition

Clustering distributed data streams in peer-to-peer environments

Information Sciences: an International Journal

On pre-processing algorithms for data stream

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II

A Sequential Sampling Framework for Spectral k-Means Based on Efficient Bootstrap Accuracy Estimations: Application to Distributed Clustering

ACM Transactions on Knowledge Discovery from Data (TKDD)

Unexpected challenges in large scale machine learning

Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Clustering of high dimensional data streams

SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications

Interactive self-adaptive clutter-aware visualisation for mobile data mining

Journal of Computer and System Sciences

An analysis of a spatial EA parallel boosting algorithm

Proceedings of the 15th annual conference on Genetic and evolutionary computation

Beyond myopic inference in big data pipelines

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Data stream clustering: A survey

ACM Computing Surveys (CSUR)

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA

Advances in Data Analysis and Classification