Results 31 to 40 of about 338,799 (197)

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

Just how difficult can it be counting up R&D funding for emerging technologies (and is tech mining with proxy measures going to be any better?) [PDF]

, 2013
Decision makers considering policy or strategy related to the development of emerging technologies expect high quality data on the support for different technological options. A natural starting point would be R&D funding statistics.
Anon, Archibuigi D., Augsdorfer P., Bijker W. E., Bowker G., Freeman C., Headrick D., Jaffe A. B., Josh Siepel, Martin P., Matthews K., Michael M. Hopkins, Morgan Jones M., NESTA, Nicholaisen J., Nuffield Council on Bioethics, OECD, OECD. 2009, Porter T., Rafols I., Rosenberg N., Searle J., Veugelers R.   +22 more
core   +1 more source

Efficient Personalized Web Mining: Utilizing the Most Utilized Data [PDF]

, 2011
conference ...
Grace, L. K. Joshila, Maheswari, V., Nagamalai, Dhinaharan   +2 more
openaire   +2 more sources

On-Shelf Utility Mining of Sequence Data [PDF]

ACM Transactions on Knowledge Discovery from Data, 2021
Utility mining has emerged as an important and interesting topic owing to its wide application and considerable popularity. However, conventional utility mining methods have a bias toward items that have longer on-shelf time as they have a greater chance to generate a high utility.
Zhang, Chunkai, Du, Zilin, Yang, Yuting, Gan, Wensheng, Yu, Philip S.   +4 more
openaire   +2 more sources

Proof Learning in PVS With Utility Pattern Mining

IEEE Access, 2020
Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz, Philippe Fournier-Viger, Ji Zhang   +2 more
doaj   +1 more source

Socially Optimal Mining Pools

, 2017
Mining for Bitcoins is a high-risk high-reward activity. Miners, seeking to reduce their variance and earn steadier rewards, collaborate in pooling strategies where they jointly mine for Bitcoins.
A Laszka, B Johnson, DM Kreps, LG Epstein, O Schrijvers, P Samuelson, R Pass, S Frederick, S Nakamoto   +8 more
core   +1 more source

An Algorithm for Mining High Utility Sequential Patterns with Time Interval

Cybernetics and Information Technologies, 2019
Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy, Janos Demetrovics, Thi Vu Duc, Thang Nguyen Truong, Anh Tran The   +4 more
doaj   +1 more source

A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data

International Journal of Computational Intelligence Systems, 2019
High utility sequential pattern (HUSP) mining has emerged as a novel topic in data mining, its computational complexity increases compared to frequent sequences mining and high utility itemsets mining.
Huijun Tang, Yangguang Liu, Le Wang
doaj   +1 more source

Privacy Preserving Utility Mining: A Survey

, 2018
In big data era, the collected data usually contains rich information and hidden knowledge. Utility-oriented pattern mining and analytics have shown a powerful ability to explore these ubiquitous data, which may be collected from various fields and ...
Chao, Han-Chieh, Gan, Wensheng, Lin, Jerry Chun-Wei, Wang, Shyue-Liang, Yu, Philip S.   +4 more
core   +1 more source

Ignoring Internal Utilities in High-Utility Itemset Mining

Symmetry, 2022
High-utility itemset mining discovers a set of items that are sold together and have utility values higher than a given minimum utility threshold. The utilities of these itemsets are calculated by considering their internal and external utility values, which correspond, respectively, to the quantity sold of each item in each transaction and profit ...
openaire   +1 more source