Results 21 to 30 of about 6,064 (288)
Analysis of high-dimensional data, with more features (p) than observations (N) (p>N), places significant demand in cost and memory computational usage attributes. Feature selection can be used to reduce the dimensionality of the data.
Consolata Gakii +2 more
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This study proposed a data mining framework for predicting sequential patterns of maintenance activities. The framework consisted of data collection, prediction of maintenance activities with and without attributes, and then the comparison between ...
Abbas Al-Refaie +2 more
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Mining hybrid sequential patterns and sequential rules
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Yen-Liang Chen +2 more
openaire +2 more sources
Reinforcement learning (RL) techniques, while often powerful, can suffer from slow learning speeds, particularly in high dimensional spaces or in environments with sparse rewards.
Behzad Ghazanfari +2 more
doaj +1 more source
Improving the cAnt-MinerPB Classification Algorithm [PDF]
Ant Colony Optimisation (ACO) has been successfully applied to the classification task of data mining in the form of Ant-Miner. A new extension of Ant-Miner, called cAnt-MinerPB, uses the ACO procedure in a different fashion.
Otero, Fernando E.B. +2 more
core +1 more source
An artificial immune system for fuzzy-rule induction in data mining [PDF]
This work proposes a classification-rule discovery algorithm integrating artificial immune systems and fuzzy systems. The algorithm consists of two parts: a sequential covering procedure and a rule evolution procedure.
Heitor S. Lopes +7 more
core +1 more source
One of the problems in the promotion is the high cost. Identifying the customer segments that have made transactions, sellers can promote better products to potential consumers.
Dayan Ramly Ramadhan, Nur Rokhman
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Web Usage Mining with Evolutionary Extraction of Temporal Fuzzy Association Rules [PDF]
In Web usage mining, fuzzy association rules that have a temporal property can provide useful knowledge about when associations occur. However, there is a problem with traditional temporal fuzzy association rule mining algorithms. Some rules occur at the
Gongora, Mario A. +5 more
core +1 more source
Sequential pattern mining (SPM) is a data mining technique used for identifying common association rules in multiple sequential datasets and patterns in ordered events.
Suk-Jun Lee, Jung-Hyun Kim
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Using Clustering Analysis and Association Rule Technology in Cross-Marketing
In this paper, according to the perspective of customers and products, by using clustering analysis and association rule technology, this paper proposes a cross-marketing model based on an improved sequential pattern mining algorithm, where an improved ...
Yang Cheng +3 more
doaj +1 more source

