Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A survey of utility-oriented pattern mining
The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
A survey of incremental high‐utility itemset mining
Traditional association rule mining has been widely studied. But it is unsuitable for real‐
world applications where factors such as unit profits of items and purchase quantities must …
world applications where factors such as unit profits of items and purchase quantities must …
FHM: Faster high-utility itemset mining using estimated utility co-occurrence pruning
High utility itemset mining is a challenging task in frequent pattern mining, which has wide
applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation …
applications. The state-of-the-art algorithm is HUI-Miner. It adopts a vertical representation …
Mining high utility itemsets without candidate generation
M Liu, J Qu - Proceedings of the 21st ACM international conference …, 2012 - dl.acm.org
High utility itemsets refer to the sets of items with high utility like profit in a database, and
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …
EFIM: a fast and memory efficient algorithm for high-utility itemset mining
In recent years, high-utility itemset mining has emerged as an important data mining task.
However, it remains computationally expensive both in terms of runtime and memory …
However, it remains computationally expensive both in terms of runtime and memory …
Pruning strategies for mining high utility itemsets
High utility itemset mining problem involves the use of internal and external utilities of items
(such as profits, margins) to discover interesting patterns from a given transactional …
(such as profits, margins) to discover interesting patterns from a given transactional …
HUOPM: High-utility occupancy pattern mining
Mining useful patterns from varied types of databases is an important research topic, which
has many reallife applications. Most studies have considered the frequency as sole …
has many reallife applications. Most studies have considered the frequency as sole …
Efficient mining of top-k high utility itemsets through genetic algorithms
Mining high utility itemsets is an emerging and very active research area in data mining. The
goal is to mine all itemsets with a utility value, in terms of importance to the user, no less than …
goal is to mine all itemsets with a utility value, in terms of importance to the user, no less than …
Minimum threshold determination method based on dataset characteristics in association rule mining
Association rule mining is a technique that is widely used in data mining. This technique is
used to identify interesting relationships between sets of items in a dataset and predict …
used to identify interesting relationships between sets of items in a dataset and predict …
Efficient approach for mining high-utility patterns on incremental databases with dynamic profits
High-utility itemset mining (HUIM) is one of the heavily studied fields of data mining, which is
due to its high compatibility with real-world applications. HUIM is a process of extracting a …
due to its high compatibility with real-world applications. HUIM is a process of extracting a …