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High utility-itemset mining and privacy-preserving utility mining

Perspectives in Science, 2016
SummaryIn recent decades, high-utility itemset mining (HUIM) has emerging a critical research topic since the quantity and profit factors are both concerned to mine the high-utility itemsets (HUIs). Generally, data mining is commonly used to discover interesting and useful knowledge from massive data. It may, however, lead to privacy threats if private
Lin, Jerry Chun-Wei, Gan, Wensheng, Fournier-Viger, Philippe, Yang, Lu, Liu, Qiankun, Frnda, Jaroslav, Sevcik, Lukas, Voznak, Miroslav   +7 more
openaire   +1 more source

EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds

IEEE Access, 2017
High-utility itemset mining (HUIM) has become a popular data mining task, as it can reveal patterns that have a high-utility, contrarily to frequent pattern mining, which focuses on discovering frequent patterns.
Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
doaj   +1 more source

Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning

IEEE Access, 2019
Mining high utility patterns in dynamic databases is an important data mining task. While a naive approach is to mine a newly updated database in its entirety, the state-of-the-art mining algorithms all take an incremental approach. However, the existing
Junqiang Liu, Xinyi Ju, Xingxing Zhang, Benjamin C. M. Fung, Xiangcai Yang, Changhong Yu   +5 more
doaj   +1 more source

A Survey of Utility-Oriented Pattern Mining [PDF]

IEEE Transactions on Knowledge and Data Engineering, 2021
Survey paper, accepted by IEEE TKDE, 20 ...
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu   +5 more
openaire   +3 more sources

Temporal-Based Fuzzy Utility Mining

IEEE Access, 2017
In recent years, fuzzy utility mining has become an area of interest due to advancement of human reasoning. With regards to real applications, transactions in a database often involve things, such as transaction time, stamp, and much more.
Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin   +4 more
doaj   +1 more source

Mining of high utility-probability sequential patterns from uncertain databases. [PDF]

PLoS ONE, 2017
High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs).
Binbin Zhang, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Ting Li   +3 more
doaj   +1 more source

Association Mining for Super Market Sales using UP Growth and Top-K Algorithm [PDF]

ITM Web of Conferences, 2020
Frequent itemsets(HUIs) mining is an evolving field in data mining, that centers around finding itemsets having a utility that meets a user-specified minimum utility by finding all the itemsets.
Bhope Harshal, Mahajan Yash, Deore Swapnil, Jethani Vimla   +3 more
doaj   +1 more source

Utility-driven Mining of Contiguous Sequences

CoRR, 2021
Recently, contiguous sequential pattern mining (CSPM) gained interest as a research topic, due to its varied potential real-world applications, such as web log and biological sequence analysis. To date, studies on the CSPM problem remain in preliminary stages.
Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng 0001, Philip S. Yu   +5 more
openaire   +2 more sources

Other title: Senate Bill 555 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board

, 2008
application/pdf; "February 14, 2008."; Testimony before the Kansas Legislature, Senate Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony regarding Senate Bill 555.
Springe, David.
core   +3 more sources

TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns

IEEE Access, 2018
High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining. Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed to consider the concept of profit.
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger   +3 more
doaj   +1 more source