Cheng-Wei Wu

发表

Mining top-K high utility itemsets

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2012, KDD.

Mining Compact High Utility Itemsets Without Candidate Generation

Cheng-Wei Wu, V. Tseng, Philippe Fournier-Viger, 2019, Studies in Big Data.

SPMF: a Java open-source pattern mining library

Antonio Gomariz, Vincent S. Tseng, Philippe Fournier-Viger, 2014, J. Mach. Learn. Res..

Efficient Algorithms for Mining Top-K High Utility Itemsets

Philip S. Yu, Vincent S. Tseng, Philippe Fournier-Viger, 2016, IEEE Transactions on Knowledge and Data Engineering.

EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2015, MICAI.

FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2014, ISMIS.

Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2013, IEEE Transactions on Knowledge and Data Engineering.

UP-Growth: an efficient algorithm for high utility itemset mining

Philip S. Yu, Vincent S. Tseng, Bai-En Shie, 2010, KDD.

FHUQI-Miner: Fast high utility quantitative itemset mining

Jerry Chun-Wei Lin, Philippe Fournier-Viger, Wensheng Gan, 2021, Applied Intelligence.

An Efficient Algorithm for Mining High Utility Quantitative Itemsets

Vincent S. Tseng, Cheng-Wei Wu, JianTao Huang, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Efficient vertical mining of high utility quantitative itemsets

Vincent S. Tseng, Cheng-Wei Wu, Chia Hua Li, 2014, 2014 IEEE International Conference on Granular Computing (GrC).

EFIM: a fast and memory efficient algorithm for high-utility itemset mining

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2016, Knowledge and Information Systems.

Discovering utility-based episode rules in complex event sequences

Vincent S. Tseng, Chien-Feng Huang, Cheng-Wei Wu, 2015, Expert Syst. Appl..

Mining Top-K Association Rules

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2012, Canadian Conference on AI.

A fast algorithm for mining frequent closed itemsets over stream sliding window

Yue-Shi Lee, Show-Jane Yen, Vincent S. Tseng, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets

Philip S. Yu, Vincent S. Tseng, Philippe Fournier-Viger, 2011, 2011 IEEE 11th International Conference on Data Mining.

Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets

Philip S. Yu, Vincent S. Tseng, Philippe Fournier-Viger, 2015, IEEE Transactions on Knowledge and Data Engineering.

Mining closed+ high utility itemsets without candidate generation

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Mining High Utility Itemsets in Big Data

Vincent S. Tseng, Cheng-Wei Wu, Ying Chun Lin, 2015, PAKDD.

Efficient Mining of High-Utility Sequential Rules

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2015, MLDM.

Novel Concise Representations of High Utility Itemsets Using Generator Patterns

Vincent S. Tseng, Philippe Fournier-Viger, Cheng-Wei Wu, 2014, ADMA.

An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream

Yue-Shi Lee, Show-Jane Yen, Cheng-Wei Wu, 2009, IEA/AIE.

Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture

Vincent S. Tseng, Chun-Han Lin, JianTao Huang, 2019, PAKDD.

EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2016, MLDM.

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences

Longbing Cao, Vincent S. Tseng, Philippe Fournier-Viger, 2015, IEEE Trans. Knowl. Data Eng..

Mining Minimal High-Utility Itemsets

Vincent S. Tseng, Philippe Fournier-Viger, Chun-Wei Lin, 2016, DEXA.

Efficiently mining high utility sequential patterns in static and streaming data

Vincent S. Tseng, Aijun An, Morteza Zihayat, 2017, Intell. Data Anal..

UP-Miner: A Utility Pattern Mining Toolbox

Vincent S. Tseng, Philippe Fournier-Viger, Jun-Han Lin, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture

Cheng-Wei Wu, T. Thang, K. Zettsu, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Mining high utility episodes in complex event sequences

Philip S. Yu, Vincent S. Tseng, Cheng-Wei Wu, 2013, KDD.

Mining Sequential Rules Common to Several Sequences with the Window Size Constraint

Vincent S. Tseng, Philippe Fournier-Viger, Roger Nkambou, 2012, Canadian Conference on AI.