Using count prediction techniques for mining frequent patterns in transactional data streams

2012 9th International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2012.6234217 ◽

2012 ◽

Author(s):

Chao-Wei Li ◽

Kuen-Fang Jea

Keyword(s):

Data Streams ◽

Frequent Patterns ◽

Prediction Techniques ◽

Transactional Data ◽

Transactional Data Streams

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Mining frequent patterns in a varying-size sliding window of online transactional data streams

Information Sciences ◽

10.1016/j.ins.2012.05.007 ◽

2012 ◽

Vol 215 ◽

pp. 15-36 ◽

Author(s):

Hui Chen ◽

LihChyun Shu ◽

Jiali Xia ◽

Qingshan Deng

Keyword(s):

Data Streams ◽

Sliding Window ◽

Frequent Patterns ◽

Transactional Data ◽

Transactional Data Streams

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Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-540-85836-2_23 ◽

2008 ◽

pp. 241-250 ◽

Author(s):

Willie Ng ◽

Manoranjan Dash

Keyword(s):

Data Streams ◽

Frequent Patterns ◽

Transactional Data ◽

Transactional Data Streams

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Discovery of Frequent Patterns in Transactional Data Streams

Transactions on Large-Scale Data- and Knowledge-Centered Systems II - Lecture Notes in Computer Science ◽

10.1007/978-3-642-16175-9_1 ◽

2010 ◽

pp. 1-30 ◽

Author(s):

Willie Ng ◽

Manoranjan Dash

Keyword(s):

Data Streams ◽

Frequent Patterns ◽

Transactional Data ◽

Transactional Data Streams

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Discovery of frequent patterns in transactional data streams

10.32657/10356/47475 ◽

2010 ◽

Author(s):

Willie Ng

Keyword(s):

Data Streams ◽

Frequent Patterns ◽

Transactional Data ◽

Transactional Data Streams

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Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data Streams

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-642-33460-3_59 ◽

2012 ◽

pp. 843-858 ◽

Author(s):

Konstantin Kutzkov

Keyword(s):

Data Streams ◽

Transactional Data ◽

Transactional Data Streams

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Effective approximation of parametrized closure systems over transactional data streams

Machine Learning ◽

10.1007/s10994-019-05827-w ◽

2019 ◽

Vol 109 (6) ◽

pp. 1147-1177

Author(s):

Daniel Trabold ◽

Tamás Horváth ◽

Stefan Wrobel

Keyword(s):

Data Streams ◽

Closure Systems ◽

Transactional Data ◽

Effective Approximation ◽

Transactional Data Streams

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CD-TDS: Change detection in transactional data streams for frequent pattern mining

2016 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2016.7727383 ◽

2016 ◽

Author(s):

Yun Sing Koh

Keyword(s):

Change Detection ◽

Data Streams ◽

Pattern Mining ◽

Frequent Pattern Mining ◽

Frequent Pattern ◽

Transactional Data ◽

Transactional Data Streams

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Efficient Reservoir Sampling for Transactional Data Streams

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06) ◽

10.1109/icdmw.2006.68 ◽

2006 ◽

Author(s):

Manoranjan Dash ◽

Willie Ng

Keyword(s):

Data Streams ◽

Reservoir Sampling ◽

Transactional Data ◽

Transactional Data Streams

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A Test Paradigm for Detecting Changes in Transactional Data Streams

Database Systems for Advanced Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-78568-2_17 ◽

2008 ◽

pp. 204-219 ◽

Author(s):

Willie Ng ◽

Manoranjan Dash

Keyword(s):

Data Streams ◽

Transactional Data ◽

Transactional Data Streams

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Effect of Count Estimation in Finding Frequent Itemsets over Online Transactional Data Streams

Journal of Computer Science and Technology ◽

10.1007/s11390-005-0007-3 ◽

2005 ◽

Vol 20 (1) ◽

pp. 63-69 ◽

Author(s):

Joong Hyuk Chang ◽

Won Suk Lee

Keyword(s):

Data Streams ◽

Frequent Itemsets ◽

Transactional Data ◽

Transactional Data Streams ◽

Count Estimation

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