Efficient Mining of Frequent Itemsets from Data Streams
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Efficient frequent pattern mining over data streams
Proceedings of the 17th ACM conference on Information and knowledge management
Mining Weighted Frequent Patterns Using Adaptive Weights
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Efficient Single-Pass Mining of Weighted Interesting Patterns
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Mining non-derivable frequent itemsets over data stream
Data & Knowledge Engineering
Handling Dynamic Weights in Weighted Frequent Pattern Mining
IEICE - Transactions on Information and Systems
Data Mining and Knowledge Discovery
Sliding window-based frequent pattern mining over data streams
Information Sciences: an International Journal
Efficient algorithms for mining constrained frequent patterns from uncertain data
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
Mining uncertain data for constrained frequent sets
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Online Evaluation of Patterns from Evolving Web Data Streams
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
FIsViz: a frequent itemset visualizer
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
A tree-based approach for frequent pattern mining from uncertain data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mining frequent patterns in an arbitrary sliding window over data streams
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
New approach in data stream association rule mining based on graph structure
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Expert Systems with Applications: An International Journal
Mining frequent itemsets over distributed data streams by continuously maintaining a global synopsis
Data Mining and Knowledge Discovery
Automatic assignment of item weights for pattern mining on data streams
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Mining regular patterns in data streams
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
A dynamic layout of sliding window for frequent itemset mining over data streams
Journal of Systems and Software
Mining frequent patterns from dynamic data streams with data load management
Journal of Systems and Software
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
Towards a variable size sliding window model for frequent itemset mining over data streams
Computers and Industrial Engineering
Discovering activity interactions in a single pass over a video stream
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Interactive mining of high utility patterns over data streams
Expert Systems with Applications: An International Journal
One-scan rule extraction to explain significant vehicle interactions with guaranteed error value
ACM SIGAPP Applied Computing Review
Mining frequent patterns in a varying-size sliding window of online transactional data streams
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Rare pattern mining on data streams
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
A sliding window based algorithm for frequent closed itemset mining over data streams
Journal of Systems and Software
Kernel-Tree: mining frequent patterns in a data stream based on forecast support
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Stream mining of frequent sets with limited memory
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Mining associated sensor patterns for data stream of wireless sensor networks
Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Mining frequent itemsets from sparse data streams in limited memory environments
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Associative Classification based Human Activity Recognition and Fall Detection using Accelerometer
International Journal of Intelligent Information Technologies
Stream mining on univariate uncertain data
Applied Intelligence
Efficient frequent itemset mining methods over time-sensitive streams
Knowledge-Based Systems
Mining top-k frequent patterns over data streams sliding window
Journal of Intelligent Information Systems
UT-Tree: Efficient mining of high utility itemsets from data streams
Intelligent Data Analysis
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With advances in technology, a flood of data can be produced in many applications such as sensor networks and Web click streams. This calls for efficient techniques for extracting useful information from streams of data. In this paper, we propose a novel tree structure, called DSTree (Data Stream Tree), that captures important data from the streams. By exploiting its nice properties, the DSTree can be easily maintained andmined for frequent itemsets as well as various other patterns like constrained itemsets.