Results 81 to 90 of about 905 (211)
RECENT ADVANCES IN UTILITY-DRIVEN PATTERN MINING [PDF]
International Journal of Intelligent Computing and Information SciencesKnowledge discovery is a key part of Artificial Intelligence that focuses on finding valuable, hidden patterns and insights in large amounts of complex data.
Mohamed Ashraf +3 more
doaj +1 more source
A Fuzzy Algorithm for Mining High Utility Rare Itemsets -FHURI
, 2014 Classical frequent itemset mining identifies frequent itemsets in transaction databases using only frequency of item occurrences, without considering utility of items.
Pillai, Jyothi +4 more
core
Unveiling Success Drivers in Gaming: A Machine Learning Study Across Steam, Twitch, and Metacritic
International Journal of Computer Games Technology, Volume 2025, Issue 1, 2025.This study employs machine learning to assess the relative impact of major platforms—Steam, Twitch, and Metacritic—on video game revenue. Through an integrated analysis of three comprehensive datasets comprising commercially successful titles on Steam, key predictors of financial performance were identified.
Jiesi Ma, Michael J. Katchabaw
wiley +1 more source
Mining High Average-Utility Itemsets
, 2012 [[abstract]]The average utility measure is adopted in this paper to reveal a better utility effect of combining several items than the original utility measure. A mining algorithm is then proposed to efficiently find the high average-utility itemsets. It
Hong, Tzung-Pei; Lee, Cho-Han; Wang, Shyue-Liang
core
An efficient strategy for mining high utility itemsets
International Journal of Intelligent Information and Database Systems, 2011 Methods for mining high utility itemsets from databases have been discussed widely in recent years. They mine itemsets having high utility from databases. Pruning candidates based on transaction-weighted utilisation value is a good method at all. In this paper, we develop a tree structure called WIT-tree, and use it in the proposed TWU-mining algorithm,
Bac Le, Huy Nguyen, Bay Vo
openaire +1 more source
Mining Top-K high utility itemset using bio-inspired algorithms
, 2023 High utility itemset (HUI) mining is a necessary research problem in the field of knowledge discovery and data mining. Many algorithms for Top-K HUI mining have been proposed.
Vo, Bay +3 more
core
High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound
, 2023 High Average Utility Itemset (HAUI) mining (HAUIM) is an important task in data mining, as it has practical applications in diverse domains. To design efficient algorithms for HAUIM, researchers need to utilize upper bounds (UB) and weak upper bounds ...
Dương, Văn Hải +2 more
core +1 more source
IEEE AccessTraditional pattern mining algorithms are based on tree and linked list structures. However, they often only consider a single factor of frequency or utility and have to deal with exponential search spaces as well as generate numerous candidates.
Xiumei Zhao, Xincheng Zhong, Bing Han
doaj +1 more source
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets
, 2017 High utility itemset mining is the problem of finding sets of items whose utilities are higher than or equal to a specific threshold. We propose a novel technique called mHUIMiner, which utilises a tree structure to guide the itemset expansion process to
Peng, AY +5 more
core +1 more source
Mining High-Efficiency Itemsets with Negative Utilities
MathematicsHigh-efficiency itemset mining has recently emerged as a new problem in itemset mining. An itemset is classified as a high-efficiency itemset if its utility-to-investment ratio meets or exceeds a specified efficiency threshold.
Irfan Yildirim
doaj +1 more source