Event detection from time series data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Principles of 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
MobiMine: monitoring the stock market from a PDA
ACM SIGKDD Explorations Newsletter
Decision tree classification of spatial data streams using Peano Count Trees
Proceedings of the 2002 ACM symposium on Applied computing
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Querying and mining data streams: you only get one look a tutorial
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Data streams: algorithms and applications
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
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
Identifying Representative Trends in Massive Time Series Data Sets Using Sketches
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Time Series Segmentation for Context Recognition in Mobile Devices
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Maintaining variance and k-medians over data stream windows
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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
Clustering Data Streams: Theory and Practice
IEEE Transactions on Knowledge and Data Engineering
One-Pass Wavelet Decompositions of Data Streams
IEEE Transactions on Knowledge and Data Engineering
Issues in data stream management
ACM SIGMOD Record
Better streaming algorithms for clustering problems
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Statistics and data mining: intersecting disciplines
ACM SIGKDD Explorations Newsletter
STREAM: the stanford stream data manager (demonstration description)
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Streaming-Data Algorithms for High-Quality Clustering
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Clustering binary data streams with K-means
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining concept-drifting data streams using ensemble classifiers
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
MAIDS: mining alarming incidents from data streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
On demand classification of data streams
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-dimensional regression analysis of time-series data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Approximate frequency counts over data streams
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
Online classification of nonstationary data streams
Intelligent Data Analysis
A framework for clustering evolving data streams
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
A framework for projected clustering of high dimensional data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Research issues in data stream association rule mining
ACM SIGMOD Record
Proceedings of the 2006 ACM symposium on Applied computing
Data mining middleware for wide-area high-performance networks
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Resource-aware kernel density estimators over streaming data
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Marking time in sequence mining
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Cell trees: An adaptive synopsis structure for clustering multi-dimensional on-line data streams
Data & Knowledge Engineering
Grid-based subspace clustering over data streams
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
Efficient instance-based learning on data streams
Intelligent Data Analysis
Event detection in sensor networks for modern oil fields
Proceedings of the second international conference on Distributed event-based systems
ACM SIGKDD Explorations Newsletter
Distributed mining of censored production rules in data streams: an evolutionary approach
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
E-Stream: Evolution-Based Technique for Stream Clustering
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Efficient Mining of Frequent Itemsets from Data Streams
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
Finding Frequent Items in a Turnstile Data Stream
COCOON '08 Proceedings of the 14th annual international conference on Computing and Combinatorics
Event-Based Compression and Mining of Data Streams
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
NBiS '08 Proceedings of the 2nd international conference on Network-Based Information Systems
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Memory efficient subspace clustering for online data streams
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Efficient algorithms for segmentation of item-set time series
Data Mining and Knowledge Discovery
Mining top-k Hot Melody Structures over online music query streams
Pattern Recognition Letters
Conceptual modeling rules extracting for data streams
Knowledge-Based Systems
Incremental clustering of dynamic data streams using connectivity based representative points
Data & Knowledge Engineering
Rescuing of intelligence and electronic security core applications (RIESCA)
WSEAS TRANSACTIONS on SYSTEMS
Pattern discovery and change detection of online music query streams
Multimedia Tools and Applications
Establishing relationships among patterns in stock market data
Data & Knowledge Engineering
Efficiently tracing clusters over high-dimensional on-line data streams
Data & Knowledge Engineering
Self-tuning query mesh for adaptive multi-route query processing
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Intervention Events Detection and Prediction in Data Streams
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
CBDT: A Concept Based Approach to Data Stream Mining
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Trends in the development of communication networks: Cognitive networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A new sampling technique for association rule mining
Journal of Information Science
A holistic approach for resource-aware adaptive data stream mining
New Generation Computing
BBM: bayesian browsing model from petabyte-scale data
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering over Evolving Data Streams Based on Online Recent-Biased Approximation
Knowledge Acquisition: Approaches, Algorithms and Applications
Computer Methods and Programs in Biomedicine
A frequent pattern based framework for event detection in sensor network stream data
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Sliding window-based frequent pattern mining over data streams
Information Sciences: an International Journal
Clustering data stream: A survey of algorithms
International Journal of Knowledge-based and Intelligent Engineering Systems
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Significance-Based Failure and Interference Detection in Data Streams
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Novelty Detection from Evolving Complex Data Streams with Time Windows
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Ambiguous decision trees for mining concept-drifting data streams
Pattern Recognition Letters
Proceedings of the 2009 International Conference on Hybrid Information Technology
Time sequence summarization to scale up chronology-dependent applications
Proceedings of the 18th ACM conference on Information and knowledge management
Mining frequent itemsets in time-varying data streams
Proceedings of the 18th ACM conference on Information and knowledge management
Approximate Frequent Itemset Discovery from Data Stream
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
A computation-oriented multimedia data streams model for content-based information retrieval
Multimedia Tools and Applications
Efficient decision tree construction for mining time-varying data streams
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
Stream schema: providing and exploiting static metadata for data stream processing
Proceedings of the 13th International Conference on Extending Database Technology
Multimodal analysis of body sensor network data streams for real-time healthcare
Proceedings of the international conference on Multimedia information retrieval
Automatic index construction for multimedia digital libraries
Information Processing and Management: an International Journal
Approximate trace of grid-based clusters over high dimensional data streams
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
An efficient algorithm for instance-based learning on data streams
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Online mining of temporal maximal utility itemsets from data streams
Proceedings of the 2010 ACM Symposium on Applied Computing
A tree-construction search approach for multivariate time series motifs discovery
Pattern Recognition Letters
FAW'07 Proceedings of the 1st annual international conference on Frontiers in algorithmics
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Event-based lossy compression for effective and efficient OLAP over data streams
Data & Knowledge Engineering
A framework to enforce access control over data streams
ACM Transactions on Information and System Security (TISSEC)
Transfer estimation of evolving class priors in data stream classification
Pattern Recognition
Mobile video user revisit analysis based on multi-day visiting patterns
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Research issues in mining multiple data streams
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques
Approximating sliding windows by cyclic tree-like histograms for efficient range queries
Data & Knowledge Engineering
An MPI-Stream Hybrid Programming Model for Computational Clusters
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Towards clausal discovery for stream mining
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Uncertainty in clustering and classification
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Increasing availability of industrial systems through data stream mining
Computers and Industrial Engineering
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Frequent itemset mining of uncertain data streams using the damped window model
Proceedings of the 2011 ACM Symposium on Applied Computing
Efficient decision tree re-alignment for clustering time-changing data streams
From active data management to event-based systems and more
Energy-aware data processing techniques for wireless sensor networks: a review
Transactions on large-scale data- and knowledge-centered systems III
Distributed classification for pocket data mining
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Frequent pattern mining from time-fading streams of uncertain data
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Online and offline trend cluster discovery in spatially distributed data streams
MSM'10/MUSE'10 Proceedings of the 2010 international conference on Analysis of social media and ubiquitous data
Artificial recurrence for classification of streaming data with concept shift
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
Mining top-k regular-frequent itemsets using database partitioning and support estimation
Expert Systems with Applications: An International Journal
Efficient incremental breadth-depth XML event mining
Proceedings of the 15th Symposium on International Database Engineering & Applications
A landmark-model based system for mining frequent patterns from uncertain data streams
Proceedings of the 15th Symposium on International Database Engineering & Applications
Maintaining gaussian mixture models of data streams under block evolution
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Mining delay in streaming time series of industrial process
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
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
Measuring performance in the retail industry (position paper)
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
An empirical analysis of revisit behaviors of monthly subscription-based mobile video services
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Efficient deadlock avoidance for streaming computation with filtering
Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
Discovery and diagnosis of behavioral transitions in patient event streams
ACM Transactions on Management Information Systems (TMIS)
Data stream forecasting for system fault prediction
Computers and Industrial Engineering
Mining databases and data streams with query languages and rules
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Homogeneous and heterogeneous distributed classification for pocket data mining
Transactions on Large-Scale Data- and Knowledge-Centered Systems V
Distribution based data filtering for financial time series forecasting
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Detection of variable length anomalous subsequences in data streams
International Journal of Intelligent Information and Database Systems
A sliding window-based false-negative approach for ubiquitous data stream analysis
International Journal of Communication Systems
Kernel-based selective ensemble learning for streams of trees
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
ACM Computing Surveys (CSUR)
Fuzzy based privacy preserving classification of data streams
Proceedings of the CUBE International Information Technology Conference
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Evolving fuzzy pattern trees for binary classification on data streams
Information Sciences: an International Journal
Business Intelligence and Analytics: Research Directions
ACM Transactions on Management Information Systems (TMIS)
Next challenges for adaptive learning systems
ACM SIGKDD Explorations Newsletter
Trend cluster based kriging interpolation in sensor data networks
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
Interactive self-adaptive clutter-aware visualisation for mobile data mining
Journal of Computer and System Sciences
Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys (CSUR)
Streaming driving behavior data
Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
Multimedia Tools and Applications
When Is the Right Time to Refresh Knowledge Discovered from Data?
Operations Research
RCD: A recurring concept drift framework
Pattern Recognition Letters
Decision support based needs assessment for cancer patients
HIKM '11 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 120
Real time processing of data from patient biodevices
HIKM '11 Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management - Volume 120
Recentness biased learning for time series forecasting
Information Sciences: an International Journal
Active XML-based Web data integration
Information Systems Frontiers
Journal of Information Science
Clustering cubes with binary dimensions in one pass
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
A survey on concept drift adaptation
ACM Computing Surveys (CSUR)
A survey of multiple classifier systems as hybrid systems
Information Fusion
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
Advances in Data Analysis and Classification
Online fuzzy medoid based clustering algorithms
Neurocomputing
Modeling and optimizing large-scale data flows
Future Generation Computer Systems
HMM-based hybrid meta-clustering ensemble for temporal data
Knowledge-Based Systems
The CART decision tree for mining data streams
Information Sciences: an International Journal
A tensor-based distributed discovery of missing association rules on the cloud
Future Generation Computer Systems
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The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously and in a very high fluctuating data rates. Examples include sensor networks, web logs, and computer network traffic. The storage, querying and mining of such data sets are highly computationally challenging tasks. Mining data streams is concerned with extracting knowledge structures represented in models and patterns in non stopping streams of information. The research in data stream mining has gained a high attraction due to the importance of its applications and the increasing generation of streaming information. Applications of data stream analysis can vary from critical scientific and astronomical applications to important business and financial ones. Algorithms, systems and frameworks that address streaming challenges have been developed over the past three years. In this review paper, we present the state-of-the-art in this growing vital field.