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New approaches for mining high utility itemsets with multiple utility thresholds
Recently, two research directions have been noticed in data mining: frequent itemset mining (FIM) and high utility itemset mining (HUIM). The FIM...
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A residual utility-based concept for high-utility itemset mining
Knowledge discovery in databases aims at finding useful information for decision-making. The problem of high-utility itemset mining (HUIM) has...
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Fast privacy-preserving utility mining algorithm based on utility-list dictionary
Privacy preserving utility mining (PPUM) aims to solve the problem of sensitive information leakage in utility pattern mining. In recent years,...
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An efficient join operations for utility list-based high-utility mining approaches using hybrid search technique
Frequent itemset mining (FIM) has firmly established itself as a pivotal and reliable tool in the realm of business analytics, enabling the...
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An efficient utility-list based high-utility itemset mining algorithm
High-utility itemset mining (HUIM) is an important task in data mining that can retrieve more meaningful and useful patterns for decision-making....
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Mining closed high utility patterns with negative utility in dynamic databases
High utility itemsets mining algorithms with negative utility have more practical applications because they can handle datasets containing negative...
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MMC: efficient and effective closed high-utility itemset mining
Analyzing many high-utility itemsets using HUIM methods is challenging and time-consuming. To solve this issue, Closed High-Utility Itemsets (CHUI),...
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Mining Regional High Utility Co-location Pattern
A co-location pattern is a set of spatial features whose instances are frequently located together in geo-space. In real world, different instances...
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Parallel High Utility Itemset Mining Algorithm on the Spark
In the field of efficient utility itemset mining, considering both internal and external utility values provides a more comprehensive approach...
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High utility itemsets mining from transactional databases: a survey
AbstractMining high utility itemsets are the basic task in the area of frequent itemset mining (FIM) that has various applications in diverse...
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RSPHUIM: Recent Short Period High Utility Itemset Mining
The past two decades have seen a great amount of research being done in the field of Frequent Pattern Mining (FPM). Utility Oriented Pattern Mining...
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Mining Top-K constrained cross-level high-utility itemsets over data streams
Cross-Level High-Utility Itemsets Mining (CLHUIM) aims to discover interesting relationships between hierarchy levels by introducing the taxonomy of...
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High utility pattern mining algorithm over data streams using ext-list.
High utility pattern has received a lot of research and attention because of their wide range of application scenarios. How to efficiently mine high...
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High Utility Co-location Patterns with Instance Utility
In this chapter, we present a new interestingness measure for mining high utility co-location patterns from spatial data sets with instance-specific...
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Efficient algorithms to mine concise representations of frequent high utility occupancy patterns
Identifying all frequent high utility occupancy itemsets (FHUOIs) in a quantitative transaction dataset is a new trend in data mining. By combining...
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Mining top-k high average-utility itemsets based on breadth-first search
High average-utility itemset mining is a subfield of data mining that has extensive practical applications. However, it is difficult for users to...
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RUBAC: Proposed Access Control for Flexible Utility–Privacy Model in Healthcare
With the rapid advancement of healthcare analytics, the need of security of privacy of health data is extremely needed. Electronic health record...
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A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets
High utility itemset mining is a crucial research area that focuses on identifying combinations of itemsets from databases that possess a utility...
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TKU-BChOA: an accurate meta-heuristic method to mine Top-k high utility itemsets
High utility itemset mining is an essential new task in data mining, which is obtained from the extension of frequent itemset mining problems. The...
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Maximizing utility by optimal capacity division in P2P networks
In most wireless networks, users/peers are connected to backbone networks using access links. The access link capacity is divided into upload and...
