Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Adaptive filter theory (2nd ed.)
Adaptive filter theory (2nd ed.)
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining data streams under block evolution
ACM SIGKDD Explorations Newsletter
Characterizing memory requirements for queries over continuous data streams
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Sampling from a moving window over streaming data
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Maintaining stream statistics over sliding windows: (extended abstract)
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Processing complex aggregate queries over data streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Clustering Data Streams: Theory and Practice
IEEE Transactions on Knowledge and Data Engineering
Approximate join processing over data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Chain: operator scheduling for memory minimization in data stream systems
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Processing set expressions over continuous update streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
A framework for diagnosing changes in evolving data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Mining concept-drifting data streams using ensemble classifiers
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient elastic burst detection in data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Correlating synchronous and asynchronous data streams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Online Amnesic Approximation of Streaming Time Series
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Towards parameter-free data mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Exploiting Correlated Attributes in Acquisitional Query Processing
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Online Latent Variable Detection in Sensor Networks
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
BRAID: stream mining through group lag correlations
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Detection and tracking of discrete phenomena in sensor-network databases
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Comparing data streams using Hamming norms (how to zero in)
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
StatStream: statistical monitoring of thousands of data streams in real time
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A framework for clustering evolving data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Adaptive, hands-off stream mining
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Operator scheduling in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
XWAVE: optimal and approximate extended wavelets
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Projection approximation subspace tracking
IEEE Transactions on Signal Processing
Optimal multi-scale patterns in time series streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Beyond streams and graphs: dynamic tensor analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
InteMon: continuous mining of sensor data in large-scale self-infrastructures
ACM SIGOPS Operating Systems Review
InteMon: intelligent system monitoring on large clusters
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Effective variation management for pseudo periodical streams
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Efficient mining of understandable patterns from multivariate interval time series
Data Mining and Knowledge Discovery
Efficient Process of Top-k Range-Sum Queries over Multiple Streams with Minimized Global Error
IEEE Transactions on Knowledge and Data Engineering
Intelligent system monitoring on large clusters
DMSN '06 Proceedings of the 3rd workshop on Data management for sensor networks: in conjunction with VLDB 2006
Boolean representation based data-adaptive correlation analysis over time series streams
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Colibri: fast mining of large static and dynamic graphs
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Incremental tensor analysis: Theory and applications
ACM Transactions on Knowledge Discovery from Data (TKDD)
Ontology-based context synchronization for ad hoc social collaborations
Knowledge-Based Systems
Identifying Similar Subsequences in Data Streams
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Clustered subset selection and its applications on it service metrics
Proceedings of the 17th ACM conference on Information and knowledge management
Flexible least squares for temporal data mining and statistical arbitrage
Expert Systems with Applications: An International Journal
Adaptive correlation analysis in stream time series with sliding windows
Computers & Mathematics with Applications
Data analysis, visualization and knowledge discovery in sustainable data centers
Proceedings of the 2nd Bangalore Annual Compute Conference
Detecting Abnormal Trend Evolution over Multiple Data Streams
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
PGG: an online pattern based approach for stream variation management
Journal of Computer Science and Technology
Incremental pattern discovery on streams, graphs and tensors
ACM SIGKDD Explorations Newsletter
Online pairing of VoIP conversations
The VLDB Journal — The International Journal on Very Large Data Bases
Troubleshooting chronic conditions in large IP networks
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Sustainable operation and management of data center chillers using temporal data mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking distributed probabilistic data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
GAMPS: compressing multi sensor data by grouping and amplitude scaling
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Significance-Based Failure and Interference Detection in Data Streams
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
An online spatio-temporal association rule mining framework for analyzing and estimating sensor data
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Dynamic mixture models for multiple time series
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Spatio-temporal association rule mining framework for real-time sensor network applications
Proceedings of the 18th ACM conference on Information and knowledge management
Incremental non-gaussian analysis of microarray gene expression data
Proceedings of the third international workshop on Data and text mining in bioinformatics
Topic tracking model for analyzing consumer purchase behavior
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Managing massive time series streams with multi-scale compressed trickles
Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment
Data stream anomaly detection through principal subspace tracking
Proceedings of the 2010 ACM Symposium on Applied Computing
A fast approximation strategy for summarizing a set of streaming time series
Proceedings of the 2010 ACM Symposium on Applied Computing
Mining time-delayed associations from discrete event datasets
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Fast approximate correlation for massive time-series data
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Structure, tie persistence and event detection in large phone and SMS networks
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
MG-join: detecting phenomena and their correlation in high dimensional data streams
Distributed and Parallel Databases
Journal of Biomedical Informatics
Online multiscale dynamic topic models
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Using data mining to handle missing data in multi-hop sensor network applications
Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access
DEMS: a data mining based technique to handle missing data in mobile sensor network applications
Proceedings of the Seventh International Workshop on Data Management for Sensor Networks
Generating time series reference models based on event analysis
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Fast Discovery of Group Lag Correlations in Streams
ACM Transactions on Knowledge Discovery from Data (TKDD)
On wavelet decomposition of uncertain time series data sets
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Continuous summarization of co-evolving data in large water distribution network
WAIM'10 Proceedings of the 11th international conference on Web-age information management
A review on time series data mining
Engineering Applications of Artificial Intelligence
Parsimonious linear fingerprinting for time series
Proceedings of the VLDB Endowment
G-RCA: a generic root cause analysis platform for service quality management in large IP networks
Proceedings of the 6th International COnference
Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking
International Journal of Computer Vision
A survey of multilinear subspace learning for tensor data
Pattern Recognition
Temporal data mining approaches for sustainable chiller management in data centers
ACM Transactions on Intelligent Systems and Technology (TIST)
Discovering shakers from evolving entities via cascading graph inference
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Continuously monitoring the correlations of massive discrete streams
Proceedings of the 20th ACM international conference on Information and knowledge management
Sequential Modeling of Topic Dynamics with Multiple Timescales
ACM Transactions on Knowledge Discovery from Data (TKDD)
Data mining for modeling chiller systems in data centers
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
Selective resource characterization for evaluation of system dynamics
ACM SIGMETRICS Performance Evaluation Review
Role-dynamics: fast mining of large dynamic networks
Proceedings of the 21st international conference companion on World Wide Web
Continuously identifying representatives out of massive streams
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Mining recent temporal patterns for event detection in multivariate time series data
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
RainMon: an integrated approach to mining bursty timeseries monitoring data
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Dispersion-based prediction framework for estimating missing values in wireless sensor networks
International Journal of Sensor Networks
A data imputation model in sensor databases
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
G-RCA: a generic root cause analysis platform for service quality management in large IP networks
IEEE/ACM Transactions on Networking (TON)
Modeling dynamic behavior in large evolving graphs
Proceedings of the sixth ACM international conference on Web search and data mining
Efficient sentiment correlation for large-scale demographics
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Tagcloud-based explanation with feedback for recommender systems
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
SVD-based hierarchical data gathering for environmental monitoring
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Pattern discovery in data streams under the time warping distance
The VLDB Journal — The International Journal on Very Large Data Bases
A temporal pattern mining approach for classifying electronic health record data
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Data clustering based on correlation analysis applied to highly variable domains
Computer Networks: The International Journal of Computer and Telecommunications Networking
Specialized storage for big numeric time series
HotStorage'13 Proceedings of the 5th USENIX conference on Hot Topics in Storage and File Systems
Predicting knowledge in an ontology stream
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
STAR-CITY: semantic traffic analytics and reasoning for CITY
Proceedings of the 19th international conference on Intelligent User Interfaces
Detecting correlation between server resources for system management
Journal of Computer and System Sciences
Research issues in outlier detection for data streams
ACM SIGKDD Explorations Newsletter
On clustering large number of data streams
Intelligent Data Analysis
Real-time analysis and management of big time-series data
IBM Journal of Research and Development
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In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Time-series). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT can incrementally find correlations and hidden variables, which summarise the key trends in the entire stream collection. It can do this quickly, with no buffering of stream values and without comparing pairs of streams. Moreover, it is any-time, single pass, and it dynamically detects changes. The discovered trends can also be used to immediately spot potential anomalies, to do efficient forecasting and, more generally, to dramatically simplify further data processing. Our experimental evaluation and case studies show that SPIRIT can incrementally capture correlations and discover trends, efficiently and effectively.