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Distributed clustering of ubiquitous data streams
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11871637_23openalex-snapshot
Why Does Subsequence Time-Series Clustering Produce Sine Waves?
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Localized Alternative Cluster Ensembles for Collaborative Structuring
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Dynamic Spatial Clustering for Intelligent Mobile Information Sharing and Dissemination
inferredcites →https://doi.org/10.1007/3-540-73679-4openalex-snapshot
Learning from Data Streams: Processing Techniques in Sensor Networks
inferredcites →https://doi.org/10.1007/3-540-73679-4_9openalex-snapshot
Clustering Techniques in Sensor Networks
inferredcites →https://doi.org/10.1007/978-1-4612-0865-5_26openalex-snapshot
Probability Inequalities for sums of Bounded Random Variables
inferredcites →https://doi.org/10.1007/978-3-540-30570-5_27openalex-snapshot
Efficient Computation of Frequent and Top-k Elements in Data Streams
inferredcites →https://doi.org/10.1007/978-3-540-87481-2_19openalex-snapshot
Clustering Distributed Sensor Data Streams
inferredcites →https://doi.org/10.1007/978-3-642-13062-5_12openalex-snapshot
Bipartite Graphs for Monitoring Clusters Transitions
inferredcites →https://doi.org/10.1007/bf00114265openalex-snapshot
Knowledge Acquisition Via Incremental Conceptual Clustering
inferredcites →https://doi.org/10.1007/pl00011677openalex-snapshot
Distributed Clustering Using Collective Principal Component Analysis
inferredcites →https://doi.org/10.1007/s100510050929openalex-snapshot
Hierarchical structure in financial markets
inferredcites →https://doi.org/10.1007/s10994-012-5320-9openalex-snapshot
On evaluating stream learning algorithms
inferredcites →https://doi.org/10.1016/0304-3975(85)90224-5openalex-snapshot
Clustering to minimize the maximum intercluster distance
inferredcites →https://doi.org/10.1016/b978-012722442-8/50016-1openalex-snapshot
A Framework for Clustering Evolving Data Streams
inferredcites →https://doi.org/10.1016/j.adhoc.2003.08.001openalex-snapshot
Active query forwarding in sensor networks
inferredcites →https://doi.org/10.1016/j.datak.2005.05.009openalex-snapshot
Online clustering of parallel data streams
inferredcites →https://doi.org/10.1016/j.ins.2005.11.007openalex-snapshot
Clustering distributed data streams in peer-to-peer environments
inferredcites →https://doi.org/10.1023/a:1009783824328openalex-snapshot
BIRCH: A New Data Clustering Algorithm and Its Applications
inferredcites →https://doi.org/10.1023/a:1012801612483openalex-snapshot
On Clustering Validation Techniques
inferredcites →https://doi.org/10.1080/01621459.1963.10500830openalex-snapshot
Probability Inequalities for Sums of Bounded Random Variables
inferredcites →https://doi.org/10.1109/ccece.2006.277560openalex-snapshot
SMIP an Incremental and Parallel Clustering Algorithm Based on Statistics and Morphology
inferredcites →https://doi.org/10.1109/icde.2002.994785openalex-snapshot
Streaming-data algorithms for high-quality clustering
inferredcites →https://doi.org/10.1109/icde.2007.367919openalex-snapshot
Distributed Data Stream Clustering: A Fast EM-based Approach
inferredcites →https://doi.org/10.1109/icde.2007.368962openalex-snapshot
Conquering the Divide: Continuous Clustering of Distributed Data Streams
inferredcites →https://doi.org/10.1109/icde.2008.4497522openalex-snapshot
Approximate Clustering on Distributed Data Streams
inferredcites →https://doi.org/10.1109/icdm.2003.1250910openalex-snapshot
Clustering of time series subsequences is meaningless: implications for previous and future research
inferredcites →https://doi.org/10.1109/icdm.2005.14openalex-snapshot
A Scalable Collaborative Filtering Framework Based on Co-Clustering
inferredcites →https://doi.org/10.1109/icdm.2008.58openalex-snapshot
Clustering Distributed Time Series in Sensor Networks
inferredcites →https://doi.org/10.1109/icpp.2004.1327907openalex-snapshot
Group-based cooperative cache management for mobile clients in a mobile environment
inferredcites →https://doi.org/10.1109/icpp.2004.39openalex-snapshot
Group-based cooperative cache management for mobile clients in a mobile environment
inferredcites →https://doi.org/10.1109/icpr.2000.906021openalex-snapshot
Clustering very large databases using EM mixture models
inferredcites →https://doi.org/10.1109/ictai.2005.129openalex-snapshot
WINP: a window-based incremental and parallel clustering algorithm for very large databases
inferredcites →https://doi.org/10.1109/mic.2006.74openalex-snapshot
Distributed Data Mining in Peer-to-Peer Networks
inferredcites →https://doi.org/10.1109/sisap.2008.14openalex-snapshot
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
inferredcites →https://doi.org/10.1109/tcbb.2004.2openalex-snapshot
Biclustering algorithms for biological data analysis: a survey
inferredcites →https://doi.org/10.1109/tkde.2003.1198387openalex-snapshot
Clustering data streams: theory and practice
inferredcites →https://doi.org/10.1109/tkde.2003.1198399openalex-snapshot
Haar wavelets for efficient similarity search of time-series: with and without time warping
inferredcites →https://doi.org/10.1109/tkde.2006.137openalex-snapshot
Adaptive Clustering for Multiple Evolving Streams
inferredcites →https://doi.org/10.1109/tkde.2007.190727openalex-snapshot
Hierarchical Clustering of Time-Series Data Streams
inferredcites →https://doi.org/10.1109/tkde.2008.169openalex-snapshot
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
inferredcites →https://doi.org/10.1109/tsp.2003.814623openalex-snapshot
Distributed EM algorithms for density estimation and clustering in sensor networks
inferredcites →https://doi.org/10.1109/wirles.2005.1549544openalex-snapshot
The value of clustering in distributed estimation for sensor networks
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1137/1.9781611972740.28openalex-snapshot
VEDAS: A Mobile and Distributed Data Stream Mining System for Real-Time Vehicle Monitoring
inferredcites →https://doi.org/10.1145/1061318.1061325openalex-snapshot
What's hot and what's not: tracking most frequent items dynamically
inferredcites →https://doi.org/10.1145/1141277.1141427openalex-snapshot
A framework for resource-aware knowledge discovery in data streams
inferredcites →https://doi.org/10.1145/1150402.1150451openalex-snapshot
Discovering significant rules
inferredcites →https://doi.org/10.1145/261342.571216openalex-snapshot
Approximation Algorithms for NP-Hard Problems
inferredcites →https://doi.org/10.1145/507515.507519openalex-snapshot
Requirements for clustering data streams
inferredcites →https://doi.org/10.1145/772862.772870openalex-snapshot
A survey on wavelet applications in data mining
inferredcites →https://doi.org/10.1145/974121.974127openalex-snapshot
Statistical grid-based clustering over data streams
inferredcites →https://doi.org/10.1145/984622.984626openalex-snapshot
Distributed optimization in sensor networks
inferredcites →https://doi.org/10.1162/153244303321897735openalex-snapshot
10.1162/153244303321897735
inferredcites →https://doi.org/10.1186/1743-0003-2-16openalex-snapshot
Using hierarchical clustering methods to classify motor activities of COPD patients from wearable sensor data
inferredcites →https://doi.org/10.1201/9781420082333.ch4openalex-snapshot
Requirements for Clustering Streaming Sensors
inferredcites →https://doi.org/10.1201/ebk1439826119openalex-snapshot
Knowledge Discovery from Data Streams
inferredcites →https://doi.org/10.1561/9781933019604openalex-snapshot
Data Streams: Algorithms and Applications
inferredcites →https://doi.org/10.3233/ida-2007-11106openalex-snapshot
A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety
inferredcites →https://doi.org/10.3233/ida-2009-0377openalex-snapshot
A system for analysis and prediction of electricity-load streams
inferredcites →https://doi.org/10.4018/978-1-60566-328-9.ch006openalex-snapshot
Knowledge Discovery for Sensor Network Comprehension
inferredcites →https://doi.org/10.4103/0256-4602.58973openalex-snapshot
Tracking Fast Moving Targets in Wireless Sensor Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-92013-9_23openalex-snapshot
DistClusTree: A Framework for Distributed Stream Clustering
inferred← citeshttps://doi.org/10.1007/978-981-16-7618-5_47openalex-snapshot
The Substructure for Estimation of Miscellaneous Data Failures Using Distributed Clustering Techniques
inferred← citeshttps://doi.org/10.1007/s10489-014-0632-zopenalex-snapshot
Prediction intervals in supervised learning for model evaluation and discrimination
inferred← citeshttps://doi.org/10.1007/s10489-018-1260-9openalex-snapshot
Collaborative fuzzy clustering of distributed concept-drifting dynamic data using a gossip-based approach
inferred← citeshttps://doi.org/10.1007/s12559-015-9342-zopenalex-snapshot
An Adaptive Density Data Stream Clustering Algorithm
inferred← citeshttps://doi.org/10.1016/j.future.2020.05.018openalex-snapshot
Swarms on the 3-sphere for online clustering of multivariate time series and data streams
inferred← citeshttps://doi.org/10.1080/0952813x.2021.1882001openalex-snapshot
Anytime clustering of data streams while handling noise and concept drift
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8621882openalex-snapshot
A General Overview of Privacy-Preserving Big Data Management and Analytics Models, Methods and Techniques in Specific Domains: Static and Dynamic Distributed Environments
inferred← citeshttps://doi.org/10.1109/icdmw.2017.140openalex-snapshot
Privacy-Preserving Big Data Stream Mining: Opportunities, Challenges, Directions
inferred← citeshttps://doi.org/10.1109/tkde.2020.2990196openalex-snapshot
ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering
inferred← citeshttps://doi.org/10.1145/2674026.2674028openalex-snapshot
Open challenges for data stream mining research
inferred← citeshttps://doi.org/10.11606/d.55.2022.tde-12092022-150759openalex-snapshot
Monitoramento de transições em agrupamento de fluxos de dados
inferred← citeshttps://doi.org/10.11606/t.55.2018.tde-19102018-145846openalex-snapshot
Agrupamento de fluxos de dados utilizando dimensão fractal
inferred← citeshttps://doi.org/10.1177/1550147718808239openalex-snapshot
A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks
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