estWin: Online data stream mining of recent frequent itemsets by sliding window method

Authors:
Joong Hyuk Chang;Won Suk Lee
Affiliations:
Yonsei University, 134 Shinchon-dong Seodaemun-gu Seoul, 120-749, Korea;Yonsei University, 134 Shinchon-dong Seodaemun-gu Seoul, 120-749, Korea
Venue:
Journal of Information Science
Year:
2005

Citing 20
Cited 14

Dynamic itemset counting and implication rules for market basket data

SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Online association rule mining

SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Borders: An Efficient Algorithm for Association Generation in Dynamic Databases

Journal of Intelligent Information Systems
Mining high-speed data streams

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Depth first generation of long patterns

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 a stream of transactions for customer patterns

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
Maintaining stream statistics over sliding windows: (extended abstract)

SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
RHist: adaptive summarization over continuous data streams

Proceedings of the eleventh international conference on Information and knowledge management
Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique

ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases

VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases

VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Finding Frequent Items in Data Streams

ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
A General Incremental Technique for Maintaining Discovered Association Rules

Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
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
DEMON: Mining and Monitoring Evolving Data

ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation

ICDE '02 Proceedings of the 18th International Conference on Data Engineering
BIDE: Efficient Mining of Frequent Closed Sequences

ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Approximate frequency counts over data streams

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases

Efficient mining method for retrieving sequential patterns over online data streams

Journal of Information Science
Interactive mining of frequent itemsets over arbitrary time intervals in a data stream

ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
Approximate mining of maximal frequent itemsets in data streams with different window models

Expert Systems with Applications: An International Journal
Memory Efficient Algorithm for Mining Recent Frequent Items in a Stream

RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Sliding window-based frequent pattern mining over data streams

Information Sciences: an International Journal
Incremental mining of closed inter-transaction itemsets over data stream sliding windows

Journal of Information Science
MHUI-max: An efficient algorithm for discovering high-utility itemsets from data streams

Journal of Information Science
A dynamic layout of sliding window for frequent itemset mining over data streams

Journal of Systems and Software
Single-pass incremental and interactive mining for weighted frequent patterns

Expert Systems with Applications: An International Journal
Towards a variable size sliding window model for frequent itemset mining over data streams

Computers and Industrial Engineering
Interactive mining of high utility patterns over data streams

Expert Systems with Applications: An International Journal
A sliding window based algorithm for frequent closed itemset mining over data streams

Journal of Systems and Software
Classification of Peer-to-Peer Traffic Using A Two-Stage Window-Based Classifier With Fast Decision Tree and IP Layer Attributes

International Journal of Data Warehousing and Mining
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

Quantified Score

Hi-index	0.00

Visualization

Abstract

Knowledge is more than the retrieval of sets of information: it is the task of explaining them and contextualizing them and empowering the information to change the face or workings of a corporation. Placed in this sophisticated role, 20th century project ...