Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Characterization and detection of noise in clustering
Pattern Recognition Letters
Time series similarity measures and time series indexing (abstract only)
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Clustering Algorithms
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Maintaining stream statistics over sliding windows: (extended abstract)
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Querying and mining data streams: you only get one look a tutorial
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Surfing Wavelets on Streams: One-Pass Summaries for Approximate Aggregate Queries
Proceedings of the 27th International Conference on Very Large Data Bases
XXL - A Library Approach to Supporting Efficient Implementations of Advanced Database Queries
Proceedings of the 27th International Conference on Very Large Data Bases
Estimating Rarity and Similarity over Data Stream Windows
ESA '02 Proceedings of the 10th Annual European Symposium on Algorithms
What's hot and what's not: tracking most frequent items dynamically
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
On the need for time series data mining benchmarks: a survey and empirical demonstration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Issues in data stream management
ACM SIGMOD Record
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Approximate join processing over data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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
Approximate Aggregation Techniques for Sensor Databases
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Clustering Large Graphs via the Singular Value Decomposition
Machine Learning
StatStream: statistical monitoring of thousands of data streams in real time
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Adaptive, hands-off stream mining
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Classification spanning correlated data streams
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Density-based clustering for real-time stream data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Extensions of vector quantization for incremental clustering
Pattern Recognition
Clustering over Multiple Evolving Streams by Events and Correlations
IEEE Transactions on Knowledge and Data Engineering
A dynamic data granulation through adjustable fuzzy clustering
Pattern Recognition Letters
Incremental clustering of dynamic data streams using connectivity based representative points
Data & Knowledge Engineering
Neighbor-based pattern detection for windows over streaming data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
NP-hardness of Euclidean sum-of-squares clustering
Machine Learning
Privacy-preserving data publishing for cluster analysis
Data & Knowledge Engineering
Stream data clustering based on grid density and attraction
ACM Transactions on Knowledge Discovery from Data (TKDD)
Combining Multiple Interrelated Streams for Incremental Clustering
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Robust Division in Clustering of Streaming Time Series
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Stream Clustering of Growing Objects
DS '09 Proceedings of the 12th International Conference on Discovery Science
Semi-fuzzy splitting in online divisive-agglomerative clustering
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
MG-join: detecting phenomena and their correlation in high dimensional data streams
Distributed and Parallel Databases
Parallel processing of continuous queries over data streams
Distributed and Parallel Databases
Describing data with the support vector shell in distributed environments
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
A novel clustering method on time series data
Expert Systems with Applications: An International Journal
L2GClust: local-to-global clustering of stream sources
Proceedings of the 2011 ACM Symposium on Applied Computing
A clustering algorithm for multiple data streams based on spectral component similarity
Information Sciences: an International Journal
CLUES: a unified framework supporting interactive exploration of density-based clusters in streams
Proceedings of the 20th ACM international conference on Information and knowledge management
SIC-means: a semi-fuzzy approach for clustering data streams using c-means
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
International Journal of Approximate Reasoning
Editorial: Large scale instance selection by means of federal instance selection
Data & Knowledge Engineering
On employing fuzzy modeling algorithms for the valuation of residential premises
Information Sciences: an International Journal
Mining neighbor-based patterns in data streams
Information Systems
A single pass algorithm for clustering evolving data streams based on swarm intelligence
Data Mining and Knowledge Discovery
On online high-dimensional spherical data clustering and feature selection
Engineering Applications of Artificial Intelligence
An ensemble clustering model for mining concept drifting stream data in emergency management
DM-IKM '12 Proceedings of the Data Mining and Intelligent Knowledge Management Workshop
Warped K-Means: An algorithm to cluster sequentially-distributed data
Information Sciences: an International Journal
Stock market co-movement assessment using a three-phase clustering method
Expert Systems with Applications: An International Journal
On clustering large number of data streams
Intelligent Data Analysis
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In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed systems, database systems, and data mining. A data stream can roughly be thought of as a transient, continuously increasing sequence of time-stamped data. In this paper, we consider the problem of clustering parallel streams of real-valued data, that is to say, continuously evolving time series. In other words, we are interested in grouping data streams the evolution over time of which is similar in a specific sense. In order to maintain an up-to-date clustering structure, it is necessary to analyze the incoming data in an online manner, tolerating not more than a constant time delay. For this purpose, we develop an efficient online version of the classical K-means clustering algorithm. Our method's efficiency is mainly due to a scalable online transformation of the original data which allows for a fast computation of approximate distances between streams.