Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
On computing correlated aggregates over continual data streams
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
Sliding-window filtering: an efficient algorithm for incremental mining
Proceedings of the tenth international conference on Information and knowledge management
Mining data streams under block evolution
ACM SIGKDD Explorations Newsletter
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
Mining long sequential patterns in a noisy environment
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Querying and mining data streams: you only get one look a tutorial
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Temporal Aggregation over Data Streams Using Multiple Granularities
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Mining Surprising Patterns Using Temporal Description Length
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Identifying Representative Trends in Massive Time Series Data Sets Using Sketches
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Streaming queries over streaming data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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
Using association rules for fraud detection in web advertising networks
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Finding Periodic Outliers over a Monogenetic Event Stream
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Online mining of frequent query trees over XML data streams
Proceedings of the 15th international conference on World Wide Web
Adaptive Clustering for Multiple Evolving Streams
IEEE Transactions on Knowledge and Data Engineering
Mining sequential patterns from data streams: a centroid approach
Journal of Intelligent Information Systems
Mining evolving data streams for frequent patterns
Pattern Recognition
Towards a new approach for mining frequent itemsets on data stream
Journal of Intelligent Information Systems
Effective variation management for pseudo periodical streams
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Mining maximal frequent itemsets from data streams
Journal of Information Science
Answering ad hoc aggregate queries from data streams using prefix aggregate trees
Knowledge and Information Systems
Approximate NN queries on streams with guaranteed error/performance bounds
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
On-line generation association rules over data streams
Information and Software Technology
Intelligent Data Analysis - Knowlegde Discovery from Data Streams
An efficient algorithm for mining temporal high utility itemsets from data streams
Journal of Systems and Software
Discovering frequent sets from data streams with CPU constraint
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Approximate mining of maximal frequent itemsets in data streams with different window models
Expert Systems with Applications: An International Journal
Online mining of frequent sets in data streams with error guarantee
Knowledge and Information Systems
RETRACTED: Efficient mining of temporal emerging itemsets from data streams
Expert Systems with Applications: An International Journal
DSM-FI: an efficient algorithm for mining frequent itemsets in data streams
Knowledge and Information Systems
Feature-preserved sampling over streaming data
ACM Transactions on Knowledge Discovery from Data (TKDD)
Incremental updates of closed frequent itemsets over continuous data streams
Expert Systems with Applications: An International Journal
Mining frequent closed itemsets from a landmark window over online data streams
Computers & Mathematics with Applications
Mining non-derivable frequent itemsets over data stream
Data & Knowledge Engineering
Intervention Events Detection and Prediction in Data Streams
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
Interactive mining of top-K frequent closed itemsets from data streams
Expert Systems with Applications: An International Journal
Multivariable stream data classification using motifs and their temporal relations
Information Sciences: an International Journal
Mining balanced patterns in web access data
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Continuous constraint query evaluation for spatiotemporal streams
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
Modeling and prediction of moving region trajectories
Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming
Discovering highly informative feature sets from data streams
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
An efficient approach for mining segment-wise intervention rules in time-series streams
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Speed up gradual rule mining from stream data! A B-Tree and OWA-based approach
Journal of Intelligent Information Systems
Incremental mining of closed inter-transaction itemsets over data stream sliding windows
Journal of Information Science
Hardware enhanced mining for association rules
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Dynamically mining frequent patterns over online data streams
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
EStream: online mining of frequent sets with precise error guarantee
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Adaptive load shedding for mining frequent patterns from data streams
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Mining recent frequent itemsets in data streams by radioactively attenuating strategy
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
A false negative maximal frequent itemset mining algorithm over stream
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Detection of variable length anomalous subsequences in data streams
International Journal of Intelligent Information and Database Systems
Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys (CSUR)
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We devise in this paper a regression-based algorithm, called algorithm FTP-DS (Frequent Temporal Patterns of Data Streams), to mine frequent temporal patterns for data streams. While providing a general framework of pattern frequency counting, algorithm FTP-DS has two major features, namely one data scan for online statistics collection and regression-based compact pattern representation.To attain the feature of one data scan, the data segmentation and the pattern growth scenarios are explored for the frequency counting purpose. Algorithm FTP-DS scans online transaction flows and generates candidate frequent patterns in real time. The second important feature of algorithm FTP-DS is on the regression-based compact pattern representation. Specifically, to meet the space constraint, we devise for pattern representation a compact ATF (standing for Accumulated Time and Frequency) form to aggregately comprise all the information required for regression analysis. In addition, we develop the techniques of the segmentation tuning and segment relaxation to enhance the functions of FTP-DS. With these features, algorithm FTP-DS is able to not only conduct mining with variable time intervals but also perform trend detection effectively. Synthetic data and a real dataset which contains net-Permission work alarm logs from a major telecommunication company are utilized to verify the feasibility of algorithm FTP-DS.