Results 31 to 40 of about 340,387 (294)
Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
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TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns
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 +3 more
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Efficient Personalized Web Mining: Utilizing the Most Utilized Data [PDF]
conference ...
Grace, L. K. Joshila +2 more
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On-Shelf Utility Mining of Sequence Data [PDF]
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 +4 more
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Proof Learning in PVS With Utility Pattern Mining
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 +2 more
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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 +8 more
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An Algorithm for Mining High Utility Sequential Patterns with Time Interval
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 +4 more
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Privacy Preserving Utility Mining: A Survey
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 +4 more
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Ignoring Internal Utilities in High-Utility Itemset Mining
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
A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data
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
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